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Article

Effect of GPTMS Passivation on Adhesive Bonding Performance of Aluminum Substrates Using an Epoxy Adhesive

by
Mani Mohan Tiwari
1,
Dilip Kumar Sarkar
1,*,
Saleema Noormohammed
1,2 and
X.-Grant Chen
1
1
Department of Applied Science, Aluminium Research Centre REGAL, University of Quebec at Chicoutimi, Chicoutimi, QC G7H 2B1, Canada
2
Réseau Transal, Chicoutimi, QC G7K 1C9, Canada
*
Author to whom correspondence should be addressed.
Surfaces 2026, 9(2), 57; https://doi.org/10.3390/surfaces9020057 (registering DOI)
Submission received: 12 May 2026 / Revised: 14 June 2026 / Accepted: 14 June 2026 / Published: 16 June 2026
(This article belongs to the Collection Featured Articles for Surfaces)

Abstract

This study investigates the effect of (3-glycidyloxypropyl)trimethoxysilane (GPTMS) passivation time on the adhesive bonding performance of aluminum substrates using an epoxy adhesive. Alkaline etching was used to generate a chemically active surface prior to silane treatment. GPTMS passivation led to the formation of silane-derived species on the aluminum surface. SEM/EDS indicated the presence of silicon-containing species. ATR-FTIR analysis showed the progressive development of siloxane (Si–O–Si) bonding with increasing passivation time. The mechanical performance of the bonded joints was evaluated using single-lap shear (SLS) testing. The SLS strength increased from 4.3 ± 1.0 MPa in the as-received substrate to 5.5 ± 1.2 MPa after etching. After GPTMS passivation, the strength reached a plateau beginning at 3 min, with a value of 13.5 ± 1.8 MPa. This corresponds to increases of 28% after etching and 223% after GPTMS passivation. This plateau behavior indicates a self-limiting interfacial process. The improved adhesion is attributed to siloxane formation within the silane layer and the chemical compatibility between GPTMS and the epoxy adhesive. A first-order conceptual semi-quantitative model was developed to relate silane surface coverage to adhesion strength. The results demonstrate that adhesion depends on both surface coverage and the development of siloxane bonding within the silane layer. This study highlights the importance of controlled passivation time in improving adhesion performance under the present experimental conditions.

1. Introduction

Adhesive bonding has emerged as a key technique in modern materials engineering, offering distinct advantages over traditional joining methods such as riveting, bolting, soldering, and welding [1,2,3,4]. Unlike these conventional techniques, adhesive bonding enables more uniform stress distribution across the joint, reduces stress concentrations, preserves the integrity of lightweight materials, and facilitates the joining of dissimilar substrates. These advantages make adhesive bonding particularly attractive for high-performance applications in aerospace, automotive, and defense industries [5,6]. However, the reliability and durability of adhesive joints are governed primarily by the interfacial strength between the adhesive and the substrate, often quantified through single lap shear (SLS) strength [7].
Aluminum and its alloys are widely used in structural applications due to their low density, high strength-to-weight ratio, corrosion resistance, and excellent machinability [8]. Despite these advantages, achieving durable adhesive bonding on aluminum surfaces remains challenging. This is mainly due to the presence of a native oxide layer, surface contamination, and relatively low surface energy, which limits wettability and restricts chemical interaction with adhesives [8,9]. As a result, untreated aluminum surfaces often exhibit weak interfacial adhesion and are prone to adhesive failure, especially under environmental exposure [10,11,12,13].
To overcome these limitations, various surface preparation techniques have been developed to modify the physicochemical properties of aluminum. Mechanical treatments such as abrasion and grit blasting increase surface roughness and promote mechanical interlocking with adhesives [14,15]. However, excessive roughness can also reduce effective wettability and surface energy, thereby limiting adhesive interaction. Chemical treatments, including acid or alkaline etching and anodization, are more effective in enhancing adhesion by increasing surface hydroxyl group density and modifying the oxide layer [16,17]. In particular, anodization produces a porous oxide structure that provides both mechanical interlocking and a high density of reactive sites for chemical bonding. Physicochemical methods such as plasma or corona treatment can further introduce functional groups onto the surface, but their industrial application is often limited by cost, equipment complexity, and processing constraints [18,19].
In this context, self-assembled monolayers (SAMs) based on organosilane coupling agents have emerged as a promising and environmentally benign strategy for improving aluminum–adhesive bonding. Silane molecules undergo hydrolysis to form silanol (Si–OH) groups, which can react with hydroxylated aluminum surfaces to form stable covalent Al–O–Si bonds. Simultaneously, condensation reactions between silanol groups lead to the formation of a crosslinked siloxane network (Si–O–Si), resulting in a thin, organized interfacial layer. This interphase acts as a molecular bridge between the inorganic aluminum substrate and the organic adhesive, enhancing both chemical bonding and interfacial cohesion.
A wide range of silane chemistries, including aminopropyltriethoxysilane (APTES), bis-[triethoxysilyl]ethane (BTSE), (3-glycidyloxypropyl)trimethoxysilane (GPTMS), and tetramethoxysilane (TMOS), have been explored for aluminum bonding applications. These treatments improve surface acidity and wettability, thereby enhancing adhesive interactions through hydrogen bonding or covalent bonding.
In addition, hybrid silane and sol–gel systems have been developed to increase crosslink density and improve corrosion resistance, leading to enhanced durability under aggressive environments [20,21,22,23,24,25]. Despite these advances, the performance of silane-treated interfaces remains highly sensitive to surface preparation, processing conditions, and environmental exposure, highlighting the need for a deeper understanding of interfacial mechanisms.
Among the various silane coupling agents, GPTMS has attracted particular attention due to its bifunctional structure and excellent compatibility with epoxy adhesives. GPTMS contains hydrolyzable methoxy groups that enable strong anchoring to the aluminum oxide surface through the formation of Al–O–Si bonds. At the same time, its epoxy functional group can participate in curing reactions with epoxy adhesives, forming covalent linkages across the interface. This dual reactivity results in the formation of a chemically integrated interphase capable of efficient load transfer and reduced interfacial failure [26].
The effectiveness of GPTMS is strongly influenced by surface preparation and processing conditions. On hydroxyl-rich surfaces produced by etching or anodization, GPTMS can form more uniform and densely crosslinked siloxane networks. In anodized systems, the porous oxide structure allows for the penetration of silane molecules, leading to an interpenetrating network that combines chemical bonding with mechanical interlocking. Consequently, GPTMS-treated aluminum substrates often exhibit substantial improvements in bond strength and durability, with reported increases in lap shear strength exceeding 100% under optimized conditions [27], while GPTMS-based hybrid sol–gel systems have shown similarly significant enhancements, depending on surface preparation and testing methodology [28].
Despite extensive research, several critical gaps remain in the mechanistic understanding of silane-mediated adhesion. The formation of effective self-assembled silane layers is highly sensitive to processing parameters, including silane concentration, hydrolysis conditions, solution pH, deposition time, and curing temperature. These variables govern the extent of surface coverage, siloxane network formation, and interfacial chemistry, which ultimately control the mechanical performance of bonded joints. While prior studies have established the importance of these parameters, the temporal evolution of the silane layer, particularly the transition from initial adsorption to the formation of a structurally interconnected siloxane network remains insufficiently understood. In particular, the role of silane passivation time in controlling the development, saturation, and effectiveness of the interfacial layer has not been systematically clarified.
Furthermore, many existing investigations involve complex surface modification strategies or dissimilar material systems, making it difficult to isolate the specific contribution of silane treatment to interfacial bonding. In contrast, aluminum–aluminum adhesive joints provide a simplified and well-controlled model system, where both adherends exhibit similar surface chemistry. This enables a more direct evaluation of the intrinsic role of silane passivation in governing interfacial adhesion.
In this context, the present study systematically investigates the effect of GPTMS passivation time on the formation and evolution of the interfacial silane layer and its direct correlation with adhesion performance. By combining surface characterization with mechanical testing, this study reveals the time-dependent development of the siloxane network and its relationship with lap shear strength. The lap shear strength increases markedly up to the onset of a plateau, beyond which the performance stabilizes, indicating a self-limiting interfacial process associated with surface saturation.
These findings provide new insights into the structure–property relationship governing silane-mediated adhesion and highlight the critical role of controlled passivation time in optimizing interfacial bonding in aluminum systems. Unlike previous studies, this work isolates the effect of passivation time under controlled conditions and directly correlates siloxane network evolution with adhesion performance.
In this study, attenuated total reflection–Fourier transform infrared (ATR-FTIR) and scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS) were used as complementary surface-characterization techniques to follow the formation of silane-derived species on the aluminum surface. Although X-ray photoelectron spectroscopy (XPS) is a more surface-sensitive technique for determining elemental composition and chemical states, ATR-FTIR/IRRAS has been widely used in aluminum surface-treatment and silane-based adhesion studies to identify oxide, hydroxyl, siloxane, and organosilane-related vibrational features. For example, Saleema et al. used IRRAS together with XPS and EDX to characterize NaOH-treated AA6061 aluminum surfaces for adhesive bonding applications [16]. Similarly, Wang et al. and Lee et al. used FTIR to identify silane functional groups and Si–O–Al-related vibrational bands, while XPS provided complementary elemental and bonding-state confirmation [29,30]. Therefore, in the present work, ATR-FTIR is interpreted as complementary chemical evidence for GPTMS-derived functional groups and siloxane network development, while SEM/EDS provides supporting morphological and elemental information.

2. Materials and Methods

AA6061-T6 aluminium alloy sheets supplied by Russel Metals Inc. (Kingston, ON, Canada) were used as substrates. Each substrate had dimensions of 101.6 mm (length) × 25.4 mm (width) × 1.5 mm (thickness). The substrates were evaluated in the as-received state and after chemical etching and silane passivation prior to adhesive bonding.

2.1. Preparation of AA6061 Substrates by Chemical Etching and GPTMS Passivation

All AA6061-T6 aluminum substrates were initially cleaned by ultrasonication in an ultrasonic bath (CPXH series, Branson Ultrasonics Corporation, Danbury, CT, USA) equipped with 40 kHz industrial transducers, using acetone (≥99.5% ACS, VWR International, Mississauga, ON, Canada) for 15 min, followed by ultrasonication in deionized (DI) water for an additional 15 min under the same conditions. The cleaned substrates were chemically etched in a 1 M sodium hydroxide (NaOH) solution maintained at 55 °C for 3 min. After etching, the substrates were rinsed thoroughly with distilled water. The substrate surfaces were then desmutted in a 10% (v/v) nitric acid (HNO3) solution at room temperature for 1.5 min. Subsequently, the substrates were ultrasonicated in distilled water for 15 min and dried again at 150 °C for 2 h to remove residual moisture from the substrate surface.
Following surface preparation, the substrates were passivated using a hydrolyzed 3% (v/v) GPTMS solution. The silane solution was prepared in a deionized water/GPTMS mixture (3:1000, v/v), and the pH was adjusted to 4 using acetic acid. The solution was stirred at 1024 rpm for 3 h to allow hydrolysis prior to substrate immersion.
The prepared substrates were immersed in the hydrolyzed GPTMS solution for durations ranging from 1 to 5 min. During immersion, silanol species adsorbed onto the aluminum substrate surface, resulting in surface passivation through the formation of Al–O–Si bonds. Partial condensation of silanol groups may occur in solution; however, further condensation during drying leads to the formation of a crosslinked siloxane (Si–O–Si) network on the substrate surface. The GPTMS passivation process results in the formation of a silane layer on the aluminum substrate surface through hydrolysis and condensation reactions. This layer can be described as a self-assembled monolayer of silane structure, although it may not represent a perfectly ordered monolayer. A schematic representation of this silane layer formed by GPTMS on the aluminum substrate surface is shown Section 3.

2.2. Bonding and Mechanical Testing of Adhesively Bonded Aluminum Joints

The prepared aluminum substrates were characterized to evaluate their surface properties. All characterizations and mechanical testing were conducted under ambient laboratory conditions (room temperature and atmospheric pressure), unless otherwise specified. Surface topography was analyzed using a three-dimensional (3D) optical profilometer (MicroXAM-100 HR, Tucson, AZ, USA). All surface treatments were examined; however, to avoid redundancy, representative results are presented for (a) as-received, (b) after alkaline etching, (c) after GPTMS passivation for 1 min, and (d) after GPTMS passivation for 4 min.
Surface morphology and elemental composition were examined using SEM-EDS (JSM-6480LV, JEOL Inc., Tokyo, Japan), performed under high vacuum conditions at an accelerating voltage of 10 kV and a working distance of 10 mm. EDS elemental mapping was carried out under the same operating conditions. SEM–EDS analyses were conducted on the as-received samples and on samples after alkaline etching followed by GPTMS passivation for 1, 2, 3, and 4 min. However, to maintain clarity and highlight the most significant surface modifications, only the as-received sample and the sample after alkaline etching followed by GPTMS passivation for 4 min are presented in the main manuscript, while the remaining results are provided in the Supplementary Information.
Chemical composition was further analyzed using ATR-FTIR spectroscopy (Agilent Technologies, Cary 630, Santa Clara, CA, USA). Spectra were acquired over the range of 4000–650 cm−1 at a spectral resolution of 2 cm−1 under ambient laboratory conditions. ATR-FTIR measurements were conducted on the as-received, etched, and GPTMS-passivated samples, and the corresponding spectra are presented in the manuscript. XPS analysis was not performed in the present study because the technique was not accessible within the experimental and revision time frame. Consequently, the surface chemical interpretation is based on complementary SEM/EDS and ATR-FTIR analyses. EDS was used to detect the incorporation and spatial distribution of silicon-containing species, whereas ATR-FTIR was used to identify characteristic vibrational bands associated with GPTMS-derived groups and siloxane bonding. The absence of XPS is acknowledged as a limitation, and the ATR-FTIR data are therefore interpreted as supportive evidence of surface functionalization rather than as a full replacement for surface chemical-state analysis by XPS.
Adhesive bonding was performed using a commercially available structural epoxy adhesive (LOCTITE® EA 9460™, Henkel Corporation, Mississauga, ON, Canada). Single-lap shear (SLS) specimens were prepared in accordance with ASTM D1002 [31]. The bonded specimens were cured following the manufacturer’s recommendations, as elaborated in Table S2 of the supplementary information.
Mechanical testing was carried out using a servo-hydraulic testing system (Instron 8801, Norwood, MA, USA) under ambient conditions. The SLS tests were conducted at a crosshead speed of 1.0 mm·min−1. Bond strength values are reported as mean ± standard deviation, with each value representing the average of three specimens. These data were used to perform basic statistical analysis, including the calculation of the mean value, standard deviation, standard error, and margin of error at a 95% confidence level. Because only three specimens were tested per condition, no inferential statistical analysis, such as ANOVA or post hoc testing, was performed. Therefore, the 3 min passivation time is interpreted as the shortest treatment time at which the lap-shear strength reaches a plateau under the present experimental conditions, rather than as a statistically confirmed optimum.

3. Results

Figure 1 presents the three-dimensional (3D) surface topography of aluminum substrates in the as-received state, after alkaline etching, and following GPTMS passivation for different immersion durations. The as-received surface (Figure 1a) is relatively smooth, with a root-mean-square (RMS) roughness of 0.37 ± 0.04 µm. After alkaline etching in 1 M NaOH at 55 °C for 3 min (Figure 1b), the surface exhibits a slight increase in texture, with the RMS roughness increasing to 0.48 ± 0.04 µm, indicating the development of surface features. Following GPTMS passivation, the surface topography evolves with immersion time. At 1 min (Figure 1c), the RMS roughness is 0.58 ± 0.04 µm, which is comparable to the etched substrate, indicating limited modification of the substrate surface at short immersion time. With increasing immersion time, the RMS roughness increases to 1.32 ± 0.03 µm (2 min) and 1.51 ± 0.05 µm (3 min). This increase suggests progressive surface coverage and formation of a silane layer on the aluminum substrate surface. For prolonged immersion durations, the roughness values stabilize at 1.30 ± 0.04 µm (4 min) and 1.40 ± 0.04 µm (5 min), indicating a plateau in surface evolution. The roughness values beyond 3 min remain within a relatively narrow range (1.30–1.40 µm), indicating that the surface topography reaches a quasi-steady state, which is consistent with the plateau observed in SLS strength. In addition to surface topography characterization, static water contact angle measurements were conducted to evaluate changes in surface wettability following alkaline etching and GPTMS passivation. The contact angle values and representative water droplet profiles are presented in the Supplementary Information (Figure S3 and Table S1).
Figure 2 presents SEM micrographs along with corresponding EDS spectra and Si Kα1 elemental maps for the as-received and GPTMS-passivated aluminum surfaces. The as-received surface (Figure 2a) exhibits characteristic linear features resulting from the rolling process during fabrication of the aluminum substrate. The corresponding EDS spectrum (inset of Figure 2a) shows no detectable silicon signal. This is consistent with the Si Kα1 map (Figure 2b), which displays sparse and randomly distributed Si signals, attributed to trace silicon inherent to the AA6061-T6 alloy composition.
After alkaline etching followed by GPTMS passivation for 4 min (Figure 2c), the EDS spectrum (inset of Figure 2c) reveals a distinct silicon peak, indicating the presence of silicon-containing species on the substrate surface. The corresponding Si Kα1 map (Figure 2d) shows a significantly higher density of Si signals distributed across the surface compared to the as-received substrate (Figure 2b). The clear contrast between the negligible Si signal in the as-received surface and the pronounced Si distribution after GPTMS passivation indicates the incorporation of silicon-containing species following 4 min passivation. The relatively uniform distribution of Si signals suggests the presence and spatial distribution of these species across the analyzed surface; however, it should be noted that EDS mapping provides qualitative elemental information and does not confirm continuous surface coverage or interfacial bonding. The 4 min passivated surface was selected as a representative surface to qualitatively confirm the presence of silicon-containing species following GPTMS treatment. All sets of images are provided in the supplementary information (Figure S1). To complement the SEM/EDS results, ATR-FTIR was used to evaluate the chemical features associated with GPTMS passivation. This combination is important because EDS can confirm the presence of silicon-containing species but cannot identify the bonding environment of silane-derived groups. In contrast, FTIR/IRRAS can provide vibrational evidence for functional groups and network formation, such as Si–O–Si, Si–O–Al, Si–O–CH3, and C–O–C bands, which are commonly used to support the formation of silane-modified aluminum surfaces [16,29,30].
Figure 3 presents the ATR-FTIR spectra of GPTMS-passivated aluminum substrates for different immersion times. The spectra indicate the presence of silane-derived species and the time-dependent evolution of siloxane bonding on the aluminum surface. The main vibrational features include a broad C–O–C absorption band around ~1100 cm−1, associated with the glycidoxy/ether functionality of GPTMS, and Si–O–CH3 related stretching features near ~1200 cm−1. The Si–O–Si asymmetric stretching contribution is observed in the ~1000 cm−1 region, consistent with condensation of silanol groups and development of a siloxane network [32,33,34,35,36,37]. Similar assignments have been reported in silane-modified aluminum systems, where FTIR or IRRAS was used to identify silane functional groups, Si–O–Si network formation, and Si–O–Al/Al–O related bonding environments [16,29,30]. These FTIR features support the presence of GPTMS-derived species on the aluminum surface and are consistent with hydrolysis and condensation reactions during passivation. However, because FTIR provides vibrational information rather than direct elemental chemical-state analysis, these results are interpreted as complementary evidence of surface modification rather than as a substitute for XPS.
The Si–O–Si band intensity increases progressively with immersion time, indicating the development of siloxane bonding on the surface. The rapid increase at short immersion times suggests initial formation of the siloxane network. At higher passivation durations, the evolution slows and begins to level off, indicating a reduction in available reactive sites and stabilization of the interfacial condition. All spectra were recorded under identical ATR measurement conditions and are interpreted comparatively to evaluate the relative evolution of the Si–O–Si band with passivation time.
It should be noted that FTIR band intensity provides qualitative information and does not allow direct quantification of network density or crosslinking. This limitation is important because the surface chemistry of silane-modified aluminum is typically best resolved through a combination of techniques. In previous studies, XPS was used to identify elemental composition and chemical states, while FTIR/IRRAS provided complementary information on molecular vibrations and functional groups [16,29,30]. Accordingly, the present ATR-FTIR results are used to follow the relative evolution of siloxane-related bonding with passivation time, whereas the SEM/EDS results provide supporting evidence for the incorporation of silicon-containing species on the treated aluminum surface.
Figure 3b further supports this interpretation. The integrated Si–O–Si band area increases markedly from 1 to 3 min, indicating rapid siloxane formation during the early stage of passivation. Beyond 3 min, the curve reaches a plateau, suggesting that the surface approaches saturation and that further silane incorporation becomes limited as available reactive sites are progressively consumed. Similar trends have been reported for silane-modified metal oxide surfaces [35,36,37]. Overall, siloxane bonding develops rapidly at short immersion times and stabilizes at longer durations, contributing to improved interfacial bonding and adhesion performance.
Figure 4a and Table 1 present the SLS strengths of aluminum joints for the as-received, etched, and GPTMS-passivated substrates. The as-received substrates exhibit low SLS strength (4.3 ± 1.0 MPa), indicating weak interfacial bonding between the aluminum surface and the adhesive. After alkaline etching, the SLS strength increases to 5.5 ± 1.2 MPa, corresponding to an improvement of approximately 28% relative to the as-received substrate. This moderate enhancement is attributed to both the increase in surface roughness, which promotes mechanical interlocking, and the modification of surface chemistry, which enhances the reactivity of the oxide surface and its interaction with the adhesive.
Building on this surface activation, GPTMS passivation was performed to further modify the interface and improve adhesion performance. GPTMS passivation results in a further increase in SLS strength with immersion time. The strength increases to 7.3 ± 2.0 MPa after 1 min and 8.0 ± 1.5 MPa after 2 min, indicating the initial development of a siloxane network on the aluminum surface. A significant increase is observed at 3 min, where the SLS strength reaches 13.5 ± 1.8 MPa, corresponding to an improvement of approximately ~200% relative to the as-received substrate. At subsequent durations (4 and 5 min), the SLS strength remains comparable to the value at 3 min, indicating a plateau in adhesion performance. This stabilization in adhesion strength is consistent with the stabilization of the Si–O–Si band area observed in Figure 3b, indicating that the saturation of siloxane bonding within the silane layer is reflected in the mechanical response. This behavior suggests that the interfacial modification reaches a saturation state, where further silane incorporation does not lead to additional improvement. This stabilization is consistent with the limited availability of reactive sites on the aluminum surface and the progressive saturation of siloxane bonding. To evaluate the variability and uncertainty of the SLS measurements, a basic statistical analysis was performed by calculating the standard error (SE) and margin of error (MoE). The results are summarized in Table 1.
In the present study, the lap shear strength increased from 4.3 MPa to 13.5 MPa, corresponding to an improvement of approximately ~200%. This enhancement exceeds typical values reported in the literature, where increases are generally in the range of 60–150% for silane-treated aluminum systems [27,28], indicating the effectiveness of the optimized GPTMS passivation conditions employed.
Figure 4b shows representative post-fracture surfaces corresponding to the different surface treatments. All joints were evaluated according to ISO 10365, which classifies adhesive joint failure modes [38]. The as-received and etched specimens exhibit adhesive failure, characterized by the separation of the adhesive layer from the aluminum substrate. This behavior is consistent with limited interfacial adhesion for the as-received surface and a moderate improvement after etching. A clear transition in failure mode is observed after GPTMS passivation for 3 min. The joints exhibit cohesive failure within the adhesive layer rather than at the interface between the aluminum substrate and the adhesive. This shift in failure mode indicates a significant improvement in interfacial bonding at the aluminum–adhesive interface following GPTMS passivation. The enhanced adhesion performance is further influenced by the chemical compatibility between the epoxy functional group of GPTMS and the epoxy adhesive system, which can promote interfacial interactions and contribute to improved load transfer. This behavior is consistent with the onset of the SLS strength plateau observed at 3 min (Figure 4a) and the increased siloxane network formation indicated by the Si–O–Si band in Figure 3. Together, these results demonstrate that the formation of the silane-derived interphase enhances load transfer across the interface, leading to a transition from adhesive to cohesive failure.
To further support the failure-mode assessment, ATR-FTIR analyses were performed on both opposing fracture surfaces after lap-shear testing. The corresponding spectra and quantitative peak-area analyses are presented in Figures S4 and S5 and Table S3, respectively. Comparable intensities of characteristic adhesive-related functional groups were observed on both fracture surfaces within experimental uncertainty, indicating the presence of adhesive residues on both substrates after fracture. This observation supports a predominantly cohesive contribution to failure rather than purely interfacial failure. However, the fracture images were obtained by macroscopic camera observation, and no SEM fractography was performed in the present study. Therefore, the failure-mode interpretation should be considered supportive rather than definitive. More detailed fracture-surface characterization, such as SEM fractography, would be required to conclusively determine the fracture path and interfacial failure mechanisms.
The specimens passivated for 4 and 5 min also exhibit cohesive failure. This behavior indicates that the interfacial strength remains high at extended immersion times. Although the SLS strength stabilizes after 3 min, the persistence of cohesive failure suggests that the silane layer continues to provide effective interfacial adhesion. All images of ruptured specimens are provided in the Supplementary Information (Figure S2). Overall, the macroscopic fracture observations and ATR-FTIR results support the conclusion that GPTMS passivation improves the interfacial bonding of aluminum/epoxy joints. Under the present experimental conditions, the strength plateau begins at an immersion time of 3 min.
To provide a simplified and semi-quantitative interpretation of the relationship between silane surface coverage and adhesion strength, a linear additive model is proposed. In this approach, the 3 min passivation time is assumed to represent the onset of effective surface saturation under the present experimental conditions. Accordingly, a direct proportional interpretation is adjusted to account for the baseline contribution of the hydroxylated aluminum surface following alkaline etching.
A simplified linear addition model may be expressed as:
σ   =     f SAM σ S A M + f etch σ etch
with the constraint:
f SAM + f etch   =   1
where f SAM represents the fractional surface coverage of GPTMS-derived silane layer, and f e t c h represents the remaining fraction of the surface corresponding to the hydroxylated aluminum substrate. It should also be noted that the present model does not explicitly account for the separate contributions of surface roughness, adhesive layer thickness, wetting behavior, or the transition to cohesive failure, all of which may influence the measured SLS strength. Although water contact angle measurements were used to assess the evolution of surface wettability after chemical etching and GPTMS passivation, these measurements were not incorporated as an independent quantitative variable in the model. Therefore, the model should be regarded as a simplified first-order approximation based on linear additivity between surface contributions. Here, σ S A M denotes the SLS strength associated with the effectively saturated GPTMS-modified surface, while σ e t c h represents the baseline strength of the etched aluminum surface attributed to hydroxyl-mediated interactions. The model does not account for interfacial interactions, siloxane network connectivity, or non-linear effects during interphase evolution. The assumption that the 3 min passivation time corresponds to an effective surface saturation state under the present experimental conditions is an approximation. Similarly, the SLS strength of the 3 min passivated surface is used as σ S A M because this treatment time corresponds to the onset of the experimentally observed strength plateau.
Therefore, this model should be interpreted as a first-order approximation rather than a rigorous quantitative description of interfacial behavior.
For the substrates passivated for 1 min, with an SLS strength of 7.3 MPa, Equation (1) can be written as:
f SAM σ S A M + f etch σ etch   =   7.3
Substituting f etch   =   1 f SAM from Equation (2) gives:
f SAM σ S A M + 1 f SAM σ etch   =   7.3
f SAM = 7.3 σ etch σ S A M σ etch
Using σ S A M = 13.5 MPa and σ e t c h = 5.5 MPa in Equation (5), the fractional coverage f SAM is calculated to be ~0.2 for the 1 min passivated surface and increases to ~0.3 for the 2 min passivated surface. These results indicate that significant improvements in adhesion can occur even at partial surface coverage, highlighting the importance of the degree of siloxane condensation and interfacial organization, rather than complete surface coverage.
Figure 5 shows semi-quantitative relationship between fractional coverage of silane layer, f SAM , and normalized single-lap shear strength (σ), for etched and GPTMS-passivated aluminum substrates. The sharp increase in σ between partial coverage and full coverage indicates that adhesion is governed not only by surface coverage but also by the formation of a sufficiently interconnected siloxane network. It is important to note that the semi-quantitative framework proposed in this study is intended strictly as a first-order conceptual interpretation of the observed trends. Direct molecular-scale quantification of GPTMS surface coverage was not performed, as techniques such as XPS, ellipsometry, or ToF-SIMS were not available in the present work. However, the water contact angle measurements provide a direct wettability-based indication of the evolution of the GPTMS-modified surface. Since the passivation process does not significantly alter the surface morphology and the substrates remain comparatively smooth, the marked decrease in water contact angle can be mainly attributed to changes in surface chemistry rather than roughness-induced wetting effects. The near-complete wetting observed from 3 min onward, together with the plateau in lap-shear strength, suggests that an effective surface saturation condition is reached under the present passivation conditions.
The marked increase in SLS strength between 2 and 3 min coincides with a pronounced increase in the Si–O–Si band intensity shown in Figure 3. This correlation suggests that siloxane network formation may contribute to enhanced bonding performance.
The experimental data from 0 to 3 min appears approximately linear with fractional silane coverage within the limited data range; however, this trend should be interpreted with caution, as it likely represents a simplified approximation rather than a strictly linear relationship. This behavior is consistent with the simplified assumptions used in the semi-quantitative model, while the underlying adhesion mechanisms involve contributions from both surface coverage and siloxane network formation. These observations provide a useful framework for interpreting the present results and facilitate comparison with trends reported in the literature. Table 2 summarizes the variation in SLS strength with the estimated fractional coverage of the GPTMS-derived silane layer. The results indicate that bond strength increases with increasing silane coverage, reaching a maximum at 3 min of SAM deposition. The comparable strengths obtained after 3, 4, and 5 min suggest that effective surface coverage has reached saturation, beyond which further deposition does not significantly enhance adhesion.
Comparable enhancements in lap shear strength following silane treatment of aluminum substrates have been consistently reported across a wide range of material systems and surface preparation strategies. For instance, Qiu et al. reported that the application of aminopropyltriethoxysilane (APTES) in bonding of aluminum–aluminum substrates using phenolic adhesive increased joint strength by approximately 160% relative to untreated substrates [20]. In another investigation, Jiang et al. reported that GPTMS treatment of an aluminum–CFRTP system increased the SLS strength by approximately 140% [21]. The same study further showed that combining plasma activation with silane treatment led to an additional increase of ~40–52%, highlighting the synergistic role of surface activation in promoting silane grafting and interfacial bonding [21]. Additional studies demonstrate that silane-induced improvements are strongly influenced by surface morphology and chemical functionality. Kometani et al. studied bis-[triethoxysilyl]ethane (BTSE) treatment and observed enhancements of approximately 185% in shear strength relative to untreated conditions [22]. They also reported that the introduction of microstructured surface features in conjunction with silane treatment provided an additional ~28–97% improvement relative to silane-only surfaces, emphasizing the combined effect of surface topography and chemical modification [22]. For aerospace-grade aluminum systems, Aakkula et al. showed that epoxy- and amine-functional silanes (GPTMS, APTES) increased lap shear strength by approximately 50–70% compared to untreated substrates [23]. Moreover, Chen et al. showed that BTESPT silane treatment improved the adhesion of an epoxy/polyamide system to aluminum through the formation of a chemically bonded siloxane interphase, leading to a 42% increase in SLS strength compared with as-received aluminum [24]. In another study, Sun et al. investigated silane pretreatment of AA6111 aluminum alloy produced using the Hot Form Quench process and observed an increase of ~100% in SLS strength compared to the pristine aluminum [25]. In the present work, the SLS strength reaches a plateau beginning at 3 min of GPTMS passivation, with a value of 13.5 MPa, corresponding to an improvement of approximately ~200% compared to the as-received substrate. This value lies within the upper range of reported enhancements and is consistent with the formation of an effective silane layer, as supported by FTIR and fracture observations. The steady-state SLS strength observed at longer passivation times further indicates that a stable adhesion response is achieved within a limited processing window. Therefore, a passivation time of 3 min is identified as the shortest treatment time required to reach the strength plateau under the present experimental conditions.
As discussed above, the silane treatment consistently enhances adhesion performance across a wide range of aluminum systems, with reported improvements typically ranging from ~60% to 150%, depending on the surface preparation, silane chemistry, and adhesive compatibility.
In the present work, an improvement of approximately ~200% is achieved, which lies at the upper end of the reported range. This enhancement is attributed to the combined effect of alkaline etching and controlled GPTMS passivation, as well as the compatibility between the epoxy adhesive system and the epoxy-functional silane, which promotes the formation of an effective interfacial layer at the aluminum–adhesive interface.
Furthermore, the observed plateau in SLS strength at subsequent durations is consistent with literature findings, where optimal adhesion is achieved within a limited processing window [25,39]. Beyond this point, additional silane exposure does not lead to further improvement, as sufficient surface coverage and siloxane network formation have already been established. These literature trends provide a useful framework for interpreting the present results and support the semi-quantitative relationship observed between silane coverage and adhesion performance.
Figure 6 presents a schematic illustration of the proposed interfacial mechanism for GPTMS passivation on the aluminum substrate. The model is consistent with the experimental observations, including the formation of siloxane structures (Figure 3), the presence of silicon on the surface (Figure 2), and the improved adhesion performance and failure mode transition (Figure 4).
The hydrolysis of GPTMS and subsequent condensation reactions lead to the formation of Si–O–Al and Si–O–Si linkages at the aluminum surface. The resulting silane layer provides a chemically active interphase that can interact with the epoxy adhesive, facilitating improved load transfer across the aluminum–adhesive interface.
While direct chemical bonding is not explicitly indicated, the observed trends are consistent with the formation of a silane-mediated interphase involving both surface anchoring and network formation.

4. Conclusions

This study investigates the effect of GPTMS passivation time on the evolution of the silane-modified surface layer and its influence on the adhesive bonding performance of aluminum substrates. The single-lap shear (SLS) strength increased from 4.3 ± 1.0 MPa for the as-received substrate to 5.5 ± 1.2 MPa after etching. After GPTMS passivation, the SLS strength reached a plateau beginning at 3 min, with a value of 13.5 ± 1.8 MPa.
This corresponds to increases of 28% after etching and 223% after GPTMS passivation, relative to the as-received substrate, demonstrating the significant effect of silane treatment. GPTMS passivation of alkaline-etched aluminum surfaces results in the formation of a silane-modified surface layer that governs adhesion performance. The development of this layer is strongly dependent on passivation time. At short durations, partial surface coverage and limited siloxane formation lead to lower mechanical performance. With increasing passivation time, the extent of siloxane formation within the silane layer increases, contributing to improved adhesion. Beyond 3 min, the SLS strength reaches a plateau, indicating a self-limiting process associated with stabilization of the GPTMS-modified interfacial layer. Direct molecular-scale quantification of GPTMS surface coverage was not performed in the present study. However, water contact angle measurements provide a direct wettability-based indication of the evolution of the GPTMS-modified surface. Because the passivation process does not significantly alter the surface morphology and the substrates remain comparatively smooth, the change in wettability can be mainly attributed to surface-chemistry modification. The near-complete wetting observed from 3 min onward, together with the plateau in SLS strength, suggests that an effective surface saturation condition is reached under the present experimental conditions.
The enhanced adhesion is attributed to the combined effects of siloxane formation within the silane layer and the chemical compatibility between the epoxy-functional GPTMS and the epoxy adhesive, which together facilitate efficient load transfer across the interface. These results indicate that adhesion is governed not only by surface coverage but also by the development of the silane layer structure. The semi-quantitative framework provides a first-order interpretation suggesting that increasing effective silane coverage and siloxane network development contribute to the observed increase in SLS strength. It should be acknowledged that the present study focuses exclusively on initial, short-term bond strength. No aging, water immersion, humidity exposure, salt-water immersion, or thermal cycling tests were performed. Therefore, conclusions regarding long-term durability or environmental stability of the bonded joints cannot be drawn from the present work. Future studies will be required to evaluate the durability of GPTMS-passivated aluminium/epoxy joints under relevant environmental aging conditions. Overall, this study highlights the critical role of controlled passivation time in optimizing silane-mediated adhesion and provides insight into the structure–property relationships governing interfacial bonding in aluminum systems. These findings offer a practical framework for optimizing silane-based surface treatments and can be extended to other metal–adhesive systems.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/surfaces9020057/s1: Figure S1: Scanning electron microscopy (SEM) images with corresponding energy-dispersive X-ray spectroscopy (EDS) spectra and silicon (Si) elemental maps of aluminum substrates: (a,b) as-received condition and (c,d) after alkaline etching followed by GPTMS passivation for 1 min; (e,f) 2 min; (g,h) 3 min; (i,j) 4 min. Insets in (a,c,e,g,i) show the corresponding EDS spectra. The Si elemental map reveals the spatial distribution of silicon on the GPTMS-passivated etched aluminum substrate.; Figure S2: Representative post-fracture surfaces of aluminum joints showing the transition from adhesive failure (as-received, etched conditions, SAM 1 min, SAM 2 min) to cohesive failure after GPTMS passivation (SAM 3 min, SAM 4 min, SAM 5 min); Figure S3: Static water contact angles on the surfaces of substrates of aluminum in the as-received, etched, and GPTMS-passivated conditions as a function of immersion time; Figure S4: Images of the SLS specimens of SAM 3 (3 min) surfaces of substrate-1 and substrate-2 after failure (where, Sm, Pn; S = substrate and P = point of observation, n= 1, 2, 3 and m=1, 2); Figure S5: ATR-FTIR spectra collected from both opposing fracture surfaces after lap-shear testing for specimens treated for silane passivation of 3 min. The spectra are vertically offset by 0.05 a.u. for clarity; Table S1: Static water contact angles and representative water droplet profiles on aluminum substrates in the as- received, etched, and GPTMS-passivated conditions as a function of immersion time; Table S2: Properties and recommended curing conditions of adhesive; Table S3: Integrated peak areas of CH2 and CH3 stretching region (3124–2693 cm−1) obtained from the ATR-FTIR spectra of the two fracture surfaces after lap-shear testing.

Author Contributions

M.M.T.: Conceptualization, Investigation, Formal Analysis, Writing—Original Draft. D.K.S.: Conceptualization, Validation, Writing—Review & Editing, Supervision, Funding Acquisition. X.-G.C.: Validation, Writing—Review & Editing, Supervision, Funding Acquisition. S.N.: Conceptualization, Validation, Technical Review & Editing. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) under Grant Nos. CRDPJ 514651-17 and RGPIN-2022-04333.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated or analyzed during this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors gratefully acknowledge Marc-André Hudon (Henkel Inc.) for providing the adhesive samples used in this study. The authors also gratefully acknowledge the students of the course Ingénierie des surfaces (6MIG851) during the 2022–2024 academic sessions for their valuable assistance in the preparation of the experimental samples used in this work.

Conflicts of Interest

Author Saleema Noormohammed was employed by the company Réseau Transal, Chicoutimi. The authors gratefully acknowledge Marc-André Hudon (Henkel Inc.) for providing the adhesive samples used in this study. The company had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
GPTMS(3-glycidyloxypropyl)trimethoxysilane
SLSSingle-lap shear
MPaMegapascal
SAMself-assembled monolayer

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Figure 1. Three-dimensional surface topography of aluminum substrates: (a) as-received substrate, (b) after alkaline etching, (c) after GPTMS passivation for 1 min, and (d) after GPTMS passivation for 4 min.
Figure 1. Three-dimensional surface topography of aluminum substrates: (a) as-received substrate, (b) after alkaline etching, (c) after GPTMS passivation for 1 min, and (d) after GPTMS passivation for 4 min.
Surfaces 09 00057 g001
Figure 2. Scanning electron microscopy (SEM) images with corresponding energy-dispersive X-ray spectroscopy (EDS) spectra and silicon (Si) elemental maps of aluminum substrates: (a,b) as-received substrate and (c,d) after alkaline etching followed by GPTMS passivation for 4 min. Insets in (a,c) show the corresponding EDS spectra. The Si elemental map reveals the spatial distribution of silicon on the GPTMS-passivated etched aluminum substrate.
Figure 2. Scanning electron microscopy (SEM) images with corresponding energy-dispersive X-ray spectroscopy (EDS) spectra and silicon (Si) elemental maps of aluminum substrates: (a,b) as-received substrate and (c,d) after alkaline etching followed by GPTMS passivation for 4 min. Insets in (a,c) show the corresponding EDS spectra. The Si elemental map reveals the spatial distribution of silicon on the GPTMS-passivated etched aluminum substrate.
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Figure 3. (a) ATR-FTIR spectra of GPTMS-passivated aluminum substrates for different immersion times, showing the characteristic vibrational bands of Si–O–CH3, C–O–C, and Si–O–Si. (b) Integrated area of the Si–O–Si stretching band as a function of passivation time, indicating the gradual increase in the extent of the siloxane network on the aluminum substrate surface with increasing immersion time.
Figure 3. (a) ATR-FTIR spectra of GPTMS-passivated aluminum substrates for different immersion times, showing the characteristic vibrational bands of Si–O–CH3, C–O–C, and Si–O–Si. (b) Integrated area of the Si–O–Si stretching band as a function of passivation time, indicating the gradual increase in the extent of the siloxane network on the aluminum substrate surface with increasing immersion time.
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Figure 4. (a) Single-lap shear (SLS) strength of aluminum joints in the as-received, etched, and GPTMS-passivated substrates as a function of immersion time. Error bars represent the standard deviation of three specimens. (b) Representative post-fracture surfaces of aluminum joints showing the transition from adhesive failure (as-received and etched substrates) to cohesive failure after GPTMS passivation (3 min).
Figure 4. (a) Single-lap shear (SLS) strength of aluminum joints in the as-received, etched, and GPTMS-passivated substrates as a function of immersion time. Error bars represent the standard deviation of three specimens. (b) Representative post-fracture surfaces of aluminum joints showing the transition from adhesive failure (as-received and etched substrates) to cohesive failure after GPTMS passivation (3 min).
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Figure 5. Relationship between fractional coverage of silane layer, f SAM , and normalized single-lap shear strength (σ), showing the evolution of adhesion performance with GPTMS passivation. The point at f SAM   =   1 represents the effective saturation condition first reached at 3 min under the present experimental assumptions; the 4 min and 5 min passivation conditions exhibit comparable strength values and are therefore considered to correspond to the same effective coverage.
Figure 5. Relationship between fractional coverage of silane layer, f SAM , and normalized single-lap shear strength (σ), showing the evolution of adhesion performance with GPTMS passivation. The point at f SAM   =   1 represents the effective saturation condition first reached at 3 min under the present experimental assumptions; the 4 min and 5 min passivation conditions exhibit comparable strength values and are therefore considered to correspond to the same effective coverage.
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Figure 6. (a) Schematic illustration of GPTMS passivation on the etched aluminum surface, showing hydrolysis of methoxy groups and formation of Si–O–Al and Si–O–Si linkages. (b) Interaction between the epoxy adhesive and the GPTMS-passivated surfaces, showing interfacial bonding (–Rn represents a general methyl group).
Figure 6. (a) Schematic illustration of GPTMS passivation on the etched aluminum surface, showing hydrolysis of methoxy groups and formation of Si–O–Al and Si–O–Si linkages. (b) Interaction between the epoxy adhesive and the GPTMS-passivated surfaces, showing interfacial bonding (–Rn represents a general methyl group).
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Table 1. Single-lap shear strength of aluminum joints for different surface conditions: as-received, etched, and GPTMS-passivated. The time indicated in parentheses corresponds to the immersion duration of the substrate in the GPTMS solution. The data include individual specimen values, mean value ( x ̄ ) standard deviation (SD), standard error (SE), and margin of error (MoE) at a 95% confidence interval.
Table 1. Single-lap shear strength of aluminum joints for different surface conditions: as-received, etched, and GPTMS-passivated. The time indicated in parentheses corresponds to the immersion duration of the substrate in the GPTMS solution. The data include individual specimen values, mean value ( x ̄ ) standard deviation (SD), standard error (SE), and margin of error (MoE) at a 95% confidence interval.
SampleSpecimen 1 (MPa)Specimen 2 (MPa)Specimen 3 (MPa) x ̄
(MPa)
SD
(MPa)
SE
(MPa)
MoE
(95% CI)
As-received3.34.35.34.310.52.4
Etched4.25.46.65.41.20.62.9
SAM 1 (1 min)5.37.39.37.321.14.9
SAM 2 (2 min)6.58.09.58.01.50.83.7
SAM 3 (3 min)11.713.515.313.51.81.04.4
SAM 4 (4 min)11.513.214.913.21.70.94.2
SAM 5 (5 min)11.613.515.413.51.91.04.7
Table 2. Single-lap shear (SLS) strength and corresponding fractional coverage of the GPTMS-derived silane layer for different surface treatments. The fractional coverage values were estimated using the proposed semi-quantitative model, where f S A M   =   1   is assigned to the 3 min passivation time based on the experimentally observed near-complete wetting and the onset of the SLS strength plateau. The 4 and 5 min passivation times exhibit comparable strength values and are therefore assigned the same effective coverage under the present experimental assumptions.
Table 2. Single-lap shear (SLS) strength and corresponding fractional coverage of the GPTMS-derived silane layer for different surface treatments. The fractional coverage values were estimated using the proposed semi-quantitative model, where f S A M   =   1   is assigned to the 3 min passivation time based on the experimentally observed near-complete wetting and the onset of the SLS strength plateau. The 4 and 5 min passivation times exhibit comparable strength values and are therefore assigned the same effective coverage under the present experimental assumptions.
ConditionSingle-Lap-Shear Strength (MPa)Fractional Coverage of Silane Layer of GPTMS
Etched5.5 ± 1.20
SAM 1 (1 min)7.3 ± 2.00.2
SAM 2 (2 min)8.0 ± 1.50.3
SAM 3 (3 min)13.5 ± 1.81
SAM 4 (4 min)13.2 ± 1.71
SAM 5 (5 min)13.3 ± 1.91
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MDPI and ACS Style

Tiwari, M.M.; Sarkar, D.K.; Noormohammed, S.; Chen, X.-G. Effect of GPTMS Passivation on Adhesive Bonding Performance of Aluminum Substrates Using an Epoxy Adhesive. Surfaces 2026, 9, 57. https://doi.org/10.3390/surfaces9020057

AMA Style

Tiwari MM, Sarkar DK, Noormohammed S, Chen X-G. Effect of GPTMS Passivation on Adhesive Bonding Performance of Aluminum Substrates Using an Epoxy Adhesive. Surfaces. 2026; 9(2):57. https://doi.org/10.3390/surfaces9020057

Chicago/Turabian Style

Tiwari, Mani Mohan, Dilip Kumar Sarkar, Saleema Noormohammed, and X.-Grant Chen. 2026. "Effect of GPTMS Passivation on Adhesive Bonding Performance of Aluminum Substrates Using an Epoxy Adhesive" Surfaces 9, no. 2: 57. https://doi.org/10.3390/surfaces9020057

APA Style

Tiwari, M. M., Sarkar, D. K., Noormohammed, S., & Chen, X.-G. (2026). Effect of GPTMS Passivation on Adhesive Bonding Performance of Aluminum Substrates Using an Epoxy Adhesive. Surfaces, 9(2), 57. https://doi.org/10.3390/surfaces9020057

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