Thermal Material Property Evaluation Using through Transmission Thermography: A Systematic Review of the Current State-of-the-Art
Abstract
:Featured Application
Abstract
1. Introduction
1.1. One-Dimensional Heat Diffusion
1.2. Motivation for the Review
Method of Excitation | Source of Heat | Active IRT Terminology | Types of Defects Detected (Maximum Defect Depth Detected) | Advantages | Limitations | |
---|---|---|---|---|---|---|
Optical | Photographic flashes, lasers, and lamps | Optically Stimulated Thermography (OST) | Lock-in Thermography (LIT) [24,25,26,27,28] | Disbonding in coatings Delaminations Corrosion (3 mm) Defects in weld roots Cracks (surface/subsurface) | Allows for uniform heating. Less sensitive to local variations of surface emissivity | Long heating time Determining optimum modulation frequencies based on material properties Difficult to detect defects in planes perpendicular to the surface |
Pulsed Thermography (PT) [20,24,29,30,31] | Pitting Corrosion Delaminations Cracks (Surface/near surface) (6 mm) Defects in weld roots | Fast inspection time (few ms) Has numerous advanced post-processing algorithms | Heating is non-uniform Cannot detect defects deeper than 6 mm Difficult to detect defects in planes perpendicular to the surface | |||
Frequency Modulated Thermography (FMT) [32] | Pitting Corrosion Delaminations Cracks (Surface/subsurface) (4.5 mm) Defects in weld roots Flat bottom holes | Combines the advantages of PT and LIT for defect detection Uses multiple frequencies to detect defects at various depths | Cannot detect defects deeper than 6 mm below the surface Difficult to detect defects in planes perpendicular to the surface | |||
Pulsed Phase Thermography (PPT) [33] | ||||||
Step-Heating Thermography (SHT) [34] | Pitting Corrosion Delaminations Cracks (Surface/near surface) (3.5 mm) Defects in weld roots Flat bottom holes | Data captured during the heating and cooling phase Can detect damage deeper into the surface than PT | Longer inspection time compared to flash heating Difficult to detect defects in planes perpendicular to the surface | |||
Long Pulse Thermography (LPT) [35] | Pitting Corrosion Delaminations Cracks (Surface/near surface (4.25 mm) Defects in weld roots Flat bottom holes | Useful for materials with low thermal conductivity | ||||
Laser-Line Thermography (LLT) [36,37,38] | Cracks (Surface/near surface) (5 mm) | Can detect defects in planes perpendicular to the surface | Longer inspection time compared to flash thermography Temperature sensitivity reduces for crack lengths below ~2 mm depth below ~1 mm and crack opening below ~5 µm | |||
Laser-Spot Thermography (LST) [38,39,40] | Cracks (Surface/near surface) (10 mm) Defects in weld roots | |||||
Ultrasonic | Ultrasonic horn/acoustic, air-coupled transducers, piezo-ceramic sensors | Nonlinear Ultrasonic Stimulated Thermography (NUST) [41,42] | Cracks (surface/subsurface) (8 mm) | Reduced excitation energy compared to UST Uses a narrower frequency bandwidth for thermal excitation | Requires multiple frequencies to cover a large inspection area | |
Thermosonics, Sonic IR Thermography, and Vibro-thermography (Ultrasonic Stimulated Thermography) (UST) [43,44] | Cracks (surface/near surface) Delaminations (5 mm) | Suitable for in-depth damage Can detect closed cracks | Requires contact with the sample | |||
Electromagnetic | Microwaves | Microwave Thermography (MWT) [45,46] | Cracks (surface/subsurface) Voids Delaminations (38 mm) Material debonding | Fast inspection for large parts Volumetric heating Uniform heating | Microwave leakage is hazardous to human health High frequency required (890 MHz to 2.45 GHz) to minimize interference with communication services | |
Eddy current induction | Pulsed Eddy Current thermography (PEC) [47,48,49,50] | Delaminations Cracks (surface/near surface) (4 mm) | Heating is not limited to specimen surface Lower SNR ratio compared to optical methods | Will not work with nonconductive materials Limited penetration depth compared to other techniques Cannot detect cracks that are very close to each other Dependent on crack geometry to estimate crack depth | ||
Thermo-resistive radiation (for composites) | Embedded shape memory alloy wires with electric current | Indirect Material-based Thermography (IMT) | Shape Memory Alloy-based Thermography (SMArT) [51] | Cracks (surface/subsurface) (1.25 mm) | Does not require external heaters or complex signal-processing techniques Consumes less energy compared to other active IRT methods Can detect deep-lying defects Useful for in situ assessment | Inspection time is longer than optical excitation methods such as PT Does not cover wider range of materials than other excitation methods |
Embedded steel wires with electric current | Metal-based Thermography (MT) [52] | Delaminations Cracks (surface/subsurface) (8.25 mm) Material deformations | Removes the requirement for external heaters Removes the drawbacks of optical excitation caused by material anisotropy | |||
Embedded carbon nanotubes with electric current | Carbon Nanotube-based Thermography (CNTT) [53] | Cracks (surface/near surface) Holes (1 mm) | Useful for in situ assessment Requires low power Does not require external heaters | |||
Electrical current running through carbon fibres | Direct Material-based Thermography | Electrical Resistance Change Method (ERCM) coupled with thermography [54] | Cracks (surface/near surface) Indentation damage (6.5 mm) | Can detect defects at multiple angles | Detectability reduces at higher thermal conductivity values Applications are limited to materials with good electro-thermal properties |
2. Materials and Methods
2.1. Search
2.2. Research Aim and Objectives
- Identify the capabilities of through-transmission thermography for thermal material property evaluation.
- Explore the current state-of-the-art in through-transmission thermography.
- Identify the limitations of through-transmission thermography in terms of material characterisation.
- How effectively can through-transmission thermography evaluate thermal material properties?
- What are the fundamentals (definition, working principle, application) and the current state-of-the-art in through-transmission thermography for material and defect characterisation?
- What advantages and/or limitations does the transmission mode have in terms of defect and material characterisation compared to the reflection mode?
2.3. Appraisal
2.4. Synthesis
2.5. Analysis
2.6. Quantitative Elements
- Authors;
- Keywords;
- The type of paper, whether it is a journal or conference paper and which journal or conference the paper has been published in;
- Year of Publication.
2.7. Qualitative Elements
- Definition of the said technique and the materials used to apply the mentioned technique;
- Working principle of the techniques used;
- Data processing algorithms;
- Data analysis;
- Conclusion and future work.
2.7.1. Definition and Materials Used
2.7.2. Working Principle
2.7.3. Data Processing Algorithms
2.7.4. Data Analysis
2.7.5. Conclusions and Future Work
3. Results
3.1. Quantitative Analysis
3.2. Qualitative Analysis
3.2.1. Definition and Materials
3.2.2. Working Principle
3.2.3. Data Processing Algorithms
Pulsed Phase Thermography (PPT)
Principle Component Thermography (PCT)
Thermal Wave Radar Analysis (TWR)
Diffusion-Compensated Correlation Analysis (DCCA)
3.2.4. Data Analysis
3.2.5. Conclusions and Future Work
4. Research Outcomes
- The first research question was, “How effectively can through-transmission thermography evaluate thermal material properties?” Through-transmission thermography has demonstrated that it can effectively determine thermal diffusivity. Commercial instruments such as the Netzsch LFA measure thermal diffusivity using pulsed thermography in the transmission configuration. Thermal diffusivity measurements have been taken using other active methods, such as lock-in thermography. Moreover, the technique has also been used to detect the thermal properties of different materials, such as cellulose fibres [90], spider silk [102], and other various microfibers [92].
- Regarding the second question, “What are the fundamentals (definition, working principle, application) and the current state-of-the-art in through-transmission thermography for material and defect characterisation?” Through-transmission thermography is defined by the positioning of the infrared radiometer and the heat source relative to the specimen. In through-transmission thermography, the heat source and the IR radiometer are placed on opposite sides of the specimen. Therefore, through-transmission thermography is also sometimes referred to as “two-sided testing” [139]. It is also important to note that the definition of through transmission can have various heat sources, as shown in Section 3.2.2, where the working principles of different heat sources are explained. From the literature search, it can also be concluded that heat sources which have longer heating times, such as in frequency-modulated thermography, are the preferred choice when depth information for the defect is required. This could be attributed to the frequency-dependent nature of the thermal wave. The frequency value could be changed to determine the depth of the defect. The working principle of through transmission is based on the heat diffusion theory. When a specimen is excited from one end, heat will diffuse through the material, causing a temperature rise on the back wall. While heat can travel in all three directions, through-transmission thermography focuses on one-dimensional heat transfer, which is the direction of the samples through thickness. The amount of temperature rise on the back wall is dependent on the thermal diffusivity of the material, which itself is dependent on a material’s thermal conductivity, density, and specific heat capacity. The greater the value of thermal diffusivity, the greater the rate at which temperature increases at the back wall. However, as mentioned before, heat travels in all three directions; hence, the heat intensity is reduced in the through-thickness direction as it goes through. For materials that contain defects, the literature has shown that these are in the form of an airgap, such as when a material goes through corrosion, which results in sample thinning. This means that the heat has less distance to travel in the direction of thickness, resulting in less heat dissipation in the other two directions, resulting in a localised hotspot. If the air gap is a subsurface between the front and the back wall of the sample, that will result in a cold spot at the location of the defect, as the heat will take longer to diffuse through the material since the thermal conductivity of air is less than metals and composites. In terms of theoretical models for through transmission, almost all of the papers using pulsed thermography adopt Parker’s model to calculate the thermal properties of the material. The current state-of-the-art in through-transmission thermography is tilted more towards the signal reconstruction algorithms rather than the physics behind the technique. To enhance the image obtained from raw thermographs, various signal reconstruction algorithms such as pulsed phased thermography, principal component and independent component analysis, wavelet transform, and thermal wave radar analysis are used. Thermal diffusivity measurements are also conducted using the same equation, although one study developed a novel method for computing thermal diffusivity by accounting for the heat losses in the front and rear surfaces [87]. In terms of technique development, work has been conducted on the positioning of temperature probes to calculate thermal diffusivity more accurately [83].
- Lastly, the third and final research question was, “What advantages and/or limitations does the transmission mode have in terms of defect and material characterisation compared to the reflection mode?” Limited studies have answered this question, but it has been observed that the transmission mode is able to detect subsurface defects with better spatial resolution, as shown in [63]; however, no reason is provided as to why this happens. Based on the author’s knowledge, there are several reasons why the reflection mode is able to detect shallow defects only. One of the reasons is the physical limitation of the reflection mode. This can be explained by assuming a sample with no defects. While the temperature decay curve will flatten out after some time, as shown in [103], this characteristic time can be used to compute the length of the sample. However, for components with a greater thickness value, by the time the heat reaches the back wall, the signal-to-noise ratio is reduced to the point where detecting temporal anomalies is no longer possible. This reduction in the signal can be attributed to the heat capacitance of the material, where the heat is stored within the material rather than diffusing through its thickness. Moreover, one-dimensional heat transfer is considered, but in reality, heat is flowing in three directions, further reducing the heat propagation through the sample’s thickness. For the transmission mode, this limitation does not exist, as the temperature increase is observed from the back wall. Other limitations could be the camera itself, its sensor integration time, and the frame rate for data acquisition, in which case it misses the event at which the temperature change due to a defect occurs. Finally, there are limitations with the signal reconstruction algorithms themselves, whether they are powerful enough to enhance the raw thermograms for defect detection. The last two limitations could be attributed to both reflection and transmission modes; however, existing literature has indicated the potential for through-transmission thermography to be a better choice for subsurface defect detection and characterisation.
5. Conclusions and Outlook
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Concept | Definition | SLR Application |
---|---|---|
Population | The research area that will be targeted | Current methods using through-transmission thermography are not able to accurately characterise certain material characteristics |
Intervention | Existing methodologies to address the defined problem | The various thermal excitation methods used to heat the specimen and the various signal reconstruction techniques to enhance the defect features such as defect shape, size, and depth |
Comparison | Comparison between the proposed and existing techniques | The capabilities of the reflection mode in defect characterisation |
Outcome(s) | Measurement criteria for testing effectiveness | The ability to successfully characterise the defects, measurement uncertainty, inspection time, etc. |
Inclusion criteria (IC) | Publications related to active thermography Publications dealing with material characterisation Publications related to through-transmission thermography |
Exclusion criteria (EC) | Does not meet inclusion criteria Full paper not available Papers using thermography in the medical industry Publications not in English Publications before the year 2008 |
Database | Scopus |
Search strings | TITLE-ABS-KEY (thermal AND diffusivity AND measurement AND thermography) TITLE-ABS-KEY (“thermography” “transmission mode”) TITLE-ABS-KEY (“thermography” AND “through transmission” AND NOT “electron microscope” AND NOT “transmission line” AND NOT “ultrasonic” AND NOT” electron microscopy” AND NOT “electron microscopies” AND NOT “transmission welding” AND NOT “electron” AND NOT “transmission weld” AND NOT “laser weld” AND NOT “laser welding”) |
Type of article | Journal or conference |
Quantitative Elements | Authors |
Keywords | |
Type of Paper (Journal/Conference) | |
Year of Publication | |
Qualitative Elements | Definition and Materials |
Working principle of the technique | |
Data processing algorithms | |
Data analysis | |
Conclusion and future work |
Journal Name | Ref. |
---|---|
Acta Material | [59] |
Advances in Optical Technologies | [60] |
Ceramics | [61] |
Composite Structures | [62] |
Composites Part B: Engineering | [63] |
Composites Science and Technology | [64,65] |
IEEE Transactions on Industrial Informatics | [66] |
Infrared Physics and Technology | [67] |
Int J Thermophys | [68,69,70,71,72] |
International Journal of Thermal Sciences | [73,74] |
International Journal of Thermophysics | [75,76,77,78,79] |
J. Phys. Chem. C | [80] |
Journal of Applied Physics | [81] |
Journal of Heat Transfer | [82,83] |
Journal of Materials Engineering and Performance | [84] |
Journal of Non-destructive Evaluation | [85,86,87,88] |
Journal of Power Sources | [89] |
Journal of the American Chemical Society | [90] |
Materials | [91,92] |
Materials Letters | [93] |
Measurement | [94,95] |
Measurement Science and Technology | [96,97,98] |
Measurement: Journal of the International Measurement Confederation | [99] |
Mechanical Systems and Signal Processing | [100] |
Mechanics and Industry | [101] |
Metals | [102] |
Metrologia | [103] |
MRS Advances | [104] |
NDT and E International | [47,58,105,106,107,108] |
Non-destructive Testing and Evaluation | [109] |
Polymer Composites | [110] |
Quantitative InfraRed Thermography Journal | [111,112,113,114,115] |
Science and Technology of Advanced Materials | [116] |
Conference Name | Ref. |
---|---|
17th International Workshop on Advanced Infrared Technology and Applications | [117] |
2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging, SIITME 2014 | [118] |
2016 6th Electronic System-Integration Technology Conference, ESTC 2016 | [119] |
2019 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019 | [120] |
Procedia CIRP | [121] |
Procedia Structural Integrity | [122] |
Proceedings—Electronic Components and Technology Conference | [123] |
Sixteenth International Conference on Quality Control by Artificial Vision | [124] |
Smart Materials and Non-destructive Evaluation for Energy Systems IV | [125,126] |
SPIE/COS Photonics Asia | [127] |
Thermosense: Thermal Infrared Applications XLV | [128,129,130,131,132] |
Thermosense: Thermal Infrared Applications XL | [133] |
Thermosense: Thermal Infrared Applications XLIII | [134] |
Thermosense: Thermal Infrared Applications XXXIV | [135] |
Thermosense: Thermal Infrared Applications XXXIX | [136] |
Thermosense: Thermal Infrared Applications XXXVII | [137,138] |
Algorithm | Author and Reference | Equations |
---|---|---|
Pulsed Phase Thermography | Maldague and Marrinetti [33] | (35), (36) |
Principle Component Thermography (PCT) | Rajic [142] | (38) |
Thermal Wave Radar Analysis (TWR) | Tabatabaei and Mandelis [143] | (39)–(42) |
Diffusion-Compensated Correlation Analysis (DCCA) | Hedayatrasa et al. [100] | (43)–(47) |
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Ali, Z.; Addepalli, S.; Zhao, Y. Thermal Material Property Evaluation Using through Transmission Thermography: A Systematic Review of the Current State-of-the-Art. Appl. Sci. 2024, 14, 6791. https://doi.org/10.3390/app14156791
Ali Z, Addepalli S, Zhao Y. Thermal Material Property Evaluation Using through Transmission Thermography: A Systematic Review of the Current State-of-the-Art. Applied Sciences. 2024; 14(15):6791. https://doi.org/10.3390/app14156791
Chicago/Turabian StyleAli, Zain, Sri Addepalli, and Yifan Zhao. 2024. "Thermal Material Property Evaluation Using through Transmission Thermography: A Systematic Review of the Current State-of-the-Art" Applied Sciences 14, no. 15: 6791. https://doi.org/10.3390/app14156791
APA StyleAli, Z., Addepalli, S., & Zhao, Y. (2024). Thermal Material Property Evaluation Using through Transmission Thermography: A Systematic Review of the Current State-of-the-Art. Applied Sciences, 14(15), 6791. https://doi.org/10.3390/app14156791