Search Results (296)

Background/Objectives: Enhancing excipient functionality through environmentally friendly and scalable processing methods is essential for improving the manufacturability and performance of orally disintegrating tablets (ODTs). Microwave-assisted wet granulation enables controlled microstructural modification without chemical alteration of excipient components. This study aimed to develop and evaluate a rice starch (RS)–mannitol co-processed excipient using microwave-assisted wet granulation for direct compression of ODTs. Methods: RS and mannitol were co-processed by wet granulation followed by microwave treatment under varying power levels and irradiation times. The effects of processing conditions on granule morphology, solid-state properties, porosity, powder flow, compressibility, wettability, and disintegration behavior were systematically investigated. The optimized excipient was further evaluated in ODT formulations containing chlorpheniramine maleate and piroxicam and benchmarked against a commercial co-processed excipient (Starlac^®). Results: Microwave treatment generated internal vapor pressure that promoted pore formation and particle agglomeration, resulting in enhanced powder flowability (compressibility index 8.4–10.8%). Partial crystallinity reduction and microstructural modification improved compressibility and surface wettability compared with non-microwave-treated materials. The optimized formulation (MW-RM-H-30) exhibited rapid wetting (25 s), high water absorption (90.5%), low contact angle (42°), and fast tablet disintegration (31 s). ODTs prepared with MW-RM-H-30 showed rapid disintegration (42 s for chlorpheniramine maleate and 32 s for piroxicam) and dissolution behavior comparable to Starlac^®. Conclusions: Microwave-assisted wet granulation provides an efficient, scalable, and environmentally friendly strategy for engineering starch-based co-processed excipients with enhanced functionality for direct compression ODT applications. The developed excipient demonstrates strong potential for solid dosage form manufacturing. Full article

Against the escalating challenges of global climate change and intensifying resource-environment constraints, exploring the green effects of industrial spatial organization has become crucial. Utilizing panel data from the Yangtze River Delta cities spanning 2011–2023, this study empirically examines the nonlinear impact of manufacturing-producer services co-agglomeration on urban green efficiency. The results reveal a significant U-shaped relationship: co-agglomeration initially suppresses efficiency due to coordination costs and congestion effects, but after crossing a specific threshold, the resulting scale economies and knowledge spillovers dominate and begin to promote green enhancement. Mechanism tests indicate that industrial upgrading serves as a direct mediating channel, while the mediating effect of green technological innovation exhibits a time lag. Further heterogeneity analysis shows that this U-shaped pattern is particularly pronounced in cities with low agglomeration levels, those not designated as low-carbon pilots, and non-resource-based cities. This study uncovers the nonlinear dynamics and key boundary conditions of the green effects arising from industrial co-agglomeration, providing an empirical basis for implementing differentiated regional spatial coordination policies. Full article

Carbon nanotube (CNT) and graphene-reinforced nanocomposites have become exceptional multifunctional materials because of their exceptional mechanical, thermal, and electrical properties. Recent developments in synthesis methods, dispersion strategies, and interfacial engineering have effectively overcome agglomeration-related limitations by significantly improving filler distribution, matrix compatibility, and load-transfer efficiency. These nanocomposites have better wear durability, corrosion resistance, and surface properties like super-hydrophobicity. A comparative analysis of polymer, metal, and ceramic matrices finds benefits for applications in biomedical, construction, energy, defense, and aeronautics. Functionally graded architecture, energy-harvesting nanogenerators, and additive manufacturing are some of the new fabrication processes that enhance design flexibility and functional integration. In recent years, scalability, life-cycle evaluation, and environmentally friendly processing have all gained increased attention. The development of next-generation, high-performance graphene and carbon nanotube (CNT)-based nanocomposites is critically reviewed in this work, along with significant obstacles and potential next steps. Full article

This work investigated the comparative performance of two fluidized bed agglomeration systems for producing instant coconut milk powder: a commercially manufactured unit and a hybrid dryer previously modified into a fluidized bed agglomerator. Three binder solutions, distilled water, xanthan gum, and xyloglucan polysaccharide, were employed to examine how equipment configuration and binder type influence key powder properties. The aim was to evaluate the effects of fluidized bed agglomerator design and binder selection on coconut milk powder characteristics, including moisture content, bulk density, solubility, and glass transition temperature. All samples, including the non-agglomerated control, exhibited moisture contents ranging from 2.1% and 2.6% (w.b.), meeting the criterion for safe long-term storage. Powders produced with hydrocolloid binders (xanthan gum and xyloglucan) possessed lower bulk densities than those agglomerated with water, reflecting the formation of more open particle structures. When identical binders were applied, the two agglomerators produced comparable solubility outcomes, although water-based agglomerates consistently dissolved the fastest. Differential scanning calorimetry indicated a substantial increase in glass transition temperature after agglomeration, confirming improved structural stability. Overall, the results demonstrate that both agglomeration systems effectively enhanced the physicochemical and functional characteristics of coconut milk powder, with only minor variations that were attributable to equipment design. Full article

The reuse of industrial residues has gained importance due to environmental and public health concerns associated with improper waste disposal. Steel scale (CDA), a by-product of machining and rolling operations, represents a residue with technological potential for incorporation into polymer composites. This study developed a low-cost and sustainable material by reinforcing an orthophthalic polyester matrix with CDA and systematically evaluated its mechanical, thermal, and structural properties. Four formulations were prepared based on the maximum feasible filler loading: R (pure resin), C1 (50% CDA), C2 (100% CDA), and C3 (150% CDA). Composites were manufactured by cold-press molding under a two-ton compressive load. Characterization included tensile, flexural, and impact testing, thermogravimetric analysis (TGA), thermal conductivity, apparent density, liquid absorption, and morphological assessment by scanning electron microscopy (SEM). CDA incorporation reduced tensile and flexural strength but increased elastic modulus, impact toughness, and thermal conductivity. The C3 composite exhibited the highest thermal stability, retaining more than 50% of its initial mass at 500 °C. Density and liquid absorption increased proportionally with filler loading, and SEM revealed heterogeneous microstructures with particle agglomeration, sedimentation, and interfacial gaps, explaining the mechanical and thermal trends. The findings demonstrate the feasibility of producing dense and low-cost polyester composites reinforced with steel scale. The structure–property relationships identified in this study establish a foundation for subsequent investigations focusing on additional functional behaviors of this waste-derived material system. Full article

New quality productive forces (NQPFs) provide vital impetus for the development of advanced manufacturing clusters (AMCs). Using 30 provincial panel data in China from 2013 to 2023, this study employs two-way fixed effects, mediation, and threshold effect models to analyze the impact of NQPFs on AMCs. The results reveal that (1) NQPFs significantly promote the development of AMCs, and this conclusion remains robust after rigorous endogeneity tests and robustness tests. (2) NQPFs exert a stronger driving effect on AMCs in coastal regions than in inland regions (both significant), and they are significant in non-resource-based regions and highly industrialized regions. (3) NQPFs indirectly foster the development of AMCs by prompting technological innovation (encompassing imitative and independent innovation), facilitating talent agglomeration, and driving industrial structure advancement. (4) The driving effect of NQPFs exhibits a significant nonlinear upward trend. This study provides new theoretical insights and empirical evidence for the sustainable development of the manufacturing industry. Full article

The Chinese government has promoted intelligent, green, and integrated transformation to advance sustainable manufacturing. Central to this strategy is the Service-Oriented Manufacturing Demonstration (SOMD) policy, which aims to deepen manufacturing-service integration. However, its regional spillovers and transmission mechanisms remain unclear. Using China’s county-level panel data from 2015 to 2023, we exploit the staggered national rollout of the SOMD policy as a quasi-natural experiment, employing a staggered difference-in-differences (DID) design. We find that the policy significantly increases both the number and share of new manufacturing firms among total business entries by fostering diversified agglomeration of producer services and reducing manufacturers’ operational costs. This effect is highly context-dependent and occurs only when new producer service firms constitute 60% to 98% of all new service entrants. Moreover, we identify a sustainability trade-off, as it stimulates regional economic activity through manufacturing entry but suppresses overall business formation. These findings suggest that achieving balanced sustainable manufacturing requires moving beyond narrow sectoral growth targets toward fostering an integrated industrial ecosystem that strengthens both manufacturing resilience and service-sector dynamism. Full article

Green innovation holds significant importance for achieving sustainable development goals. Artificial intelligence has emerged as the primary force behind a new wave of technological and industrial transformation. Using data on Chinese A-share listed manufacturing firms from 2012 to 2023, this study examines the influence of AI policy on corporate green innovation. A chain mediation model is used to identify and test the specific pathway through which this influence operates. The results reveal three findings: First, AI policy has a significantly positive influence on corporate green innovation. Second, industrial agglomeration and knowledge diversity serve as chain mediators, playing the role of transmitting the effect of AI policy to corporate green innovation. Third, AI policy more effectively stimulates green innovation in specific contexts, particularly among SMEs, non-SOEs, high-tech industries, and competitive sectors. This study deepens our understanding of how AI policy can promote corporate green innovation, providing important insights for advancing the coordinated development of green and intelligent manufacturing. Full article

Manufacturing agglomeration (MA) is an important driving force for both sustained economic expansion and structural upgrading. Understanding whether and how MA contributes to energy conservation and pollutant mitigation is essential for promoting China’s green transition and offers valuable insight for emerging economies pursuing sustainable growth. The paper first theoretically examines the mechanisms linking MA, energy intensity (EI), and pollutant emission (PE). To overcome the regression bias caused by the heterogeneity of pollutant types among cities, the comprehensive index of PE is constructed. The empirical analysis yields two principal findings. First, MA significantly reduces PE, and this relationship remains robust after a series of tests. Second, EI plays a significant mediating role between MA and PE, that is, MA can achieve the reduction targets of PE by reducing EI. Therefore, in addition to its established role in fostering economic growth, MA should be utilized for its environmental advantages. Policymakers should give greater weight to the capacity of MA to enhance energy conservation and emission reduction, so as to stimulate the positive interaction among MA, EI, and PE, and thereby formulate more differentiated policies. Full article

The chemical mechanical polishing (CMP) process in semiconductor fabrication faces challenges such as slurry agglomeration, scratches, and contamination, which degrade process reliability and device quality. To mitigate these challenges, this study investigated the application of hydrophobic surface coatings on CMP components. Polytetrafluorothylene (PTFE) was deposited onto stainless steel substrates, while diamond-like carbon (DLC) films were coated on PEEK-based retainer rings, with material selection guided by their surface energy characteristics and mechanical robustness. The hydrophobic performance of the coatings was systematically evaluated through contact angle measurements and surface roughness analysis (Ra, Rpk, Sa, Spk). Under oxide CMP conditions, 60 h reliability tests using non-patterned wafers demonstrated that PTFE-coated stainless-steel surfaces significantly reduced slurry-induced particle accumulation and suppressed scratches compared with uncoated substrates. In addition, PTFE provided stable hydrophobicity and effective scratch resistance, while DLC exhibited superhydrophobic behavior with contact angles exceeding 160°, offering potential for even greater protection against surface damage. The wettability of DLC coatings was further tunable via sp³/sp² carbon bonding ratios and surface roughness, consistent with the predictions of the Cassie–Baxter and Wenzel models. These findings establish a framework for surface modification of CMP hardware. The integration of PTFE and DLC coatings effectively enhances hydrophobicity, suppresses slurry contamination, and improves scratch reliability, thereby offering a practical route for designing hydrophobic CMP components that strengthen process stability and extend equipment lifetime in advanced semiconductor manufacturing. Full article

As an emerging economic phenomenon, deindustrialization has begun to be valued. Rapid economy and industrial upgrading have resulted in various deindustrialization across mainland China’s provinces, especially premature deindustrialization. In order to scientifically measure deindustrialization with the new criteria, we investigate the spatiotemporal heterogeneities of deindustrialization in mainland China during 2008–2050 using the fixed-effects regression model, Geodetector, and the ARIMA time trend model. Premature deindustrialization appeared in Beijing and Hainan, while it does not occur in China’s most eastern and central provinces, with a pronounced trend toward output-based deindustrialization. The scale of manufacturing employment is the primary determinant of deindustrialization, while the share of tertiary industry value added in GDP is the key driver of output-based deindustrialization. Interaction analysis reveals that employment-based deindustrialization is mainly affected by the industrial labor force, while output-based deindustrialization is intensified through interactive effects such as enterprise agglomeration. By 2050, deindustrialization will appear in 6 of China’s provinces, while premature deindustrialization will appear in 14 provinces. The Bohai Rim and Southwest provinces will be the core areas of China’s premature deindustrialization. To mitigate the adverse effects of premature deindustrialization, industrial upgrading by strengthening policy, increasing investment in R&D innovation, and optimizing the business environment should be carried out in some designated provinces. Full article

Bronze materials are indispensable across numerous industries for enhancing the durability and performance of components, primarily due to their excellent tribological properties, corrosion resistance, and machinability. This study investigates the impact of different atmospheric conditions on the properties of WAAM (wire arc additive manufacturing) cladded bronze coatings on 09G2S steel substrate. Specifically, the research examines how varying atmospheres—including ambient air (N₂/O₂, no shielding gas), pure argon (Ar), carbon dioxide (CO₂), and 82% Ar + 18% CO₂ (Ar/CO₂) mixture—influence coating defectiveness (porosity, cracks, non-uniformity), wettability (manifested as uniform layer formation and strong adhesion), and the extent of intergranular penetration (IGP), leading to the formation of characteristic infiltrated cracks or “bronze whiskers”. Modern investigative techniques such as optical microscopy (OM), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD) were employed for comprehensive material characterization. Microhardness testing was also carried out to evaluate and confirm the homogeneity of the coating structure. The findings revealed that the bronze coatings primarily consisted of a dominant, highly textured FCC α-Cu phase and a minor BCC α-Fe phase, with Rietveld refinement quantifying a α-Fe volume fraction of ~5%, lattice parameters of a = 0.3616 nm for α-Cu and a = 0.2869 nm for α-Fe, and a modest microstrain of 0.001. The bronze coating deposited under a pure Ar atmosphere exhibited superior performance, characterized by excellent wettability, a uniform, near-defect-free structure with minimal porosity and cracks, and significantly suppressed formation of bronze whiskers, both in quantity and size. Conversely, the coating deposited without a protective atmosphere demonstrated the highest degree of defectiveness, including agglomerated pores and cracks, leading to an uneven interface and extensive whisker growth of varied morphologies. Microhardness tests confirmed that while the Ar-atmosphere coating displayed the lowest hardness (~130 HV_0.1), it maintained consistent values across the entire analyzed area, indicating structural homogeneity. These results underscore the critical role of atmosphere selection in WAAM processing for achieving high-quality bronze coatings with enhanced interfacial integrity and functional performance. Full article

The thermal response of Carbon Fiber Reinforced Thermoplastic (CFRTP) tapes under short-term localized heating is critical for automated manufacturing processes. Conventional homogenized models often overlook microstructural heterogeneities that can promote non-uniform heating and affect the quality of the consolidated part. In this work, we combine insights from infrared thermography with finite element simulations at the fiber scale built on micrographs extracted from real tapes to quantify the effect of individual heterogeneities—including surface roughness, thickness variation, fiber agglomeration, and porosity—on thermal propagation. Three modeling configurations were compared under identical conditions: a full microstructure model; a simplified geometry-aware model (where the real geometry is taken into the account, including the surface roughness and thickness variability, but the properties of the domain are considered as a homogeneous-equivalent material); and a homogeneous-equivalent baseline with flat borders and uniform thickness. Results show that porosity effects depend strongly on location and orientation: large, horizontally aligned pores near the heated surface produce the highest gradients. Surface roughness, on the other hand, exerts dominant effects on surface temperature non-uniformity with respect to thickness variation and fiber distribution. These findings demonstrate that accounting for microscale heterogeneities is essential to achieve more accurate, optimized, and application-tailored analyses of CFRTP tapes in advanced manufacturing. Full article

Digital light processing (DLP) 3D printing is a powerful additive manufacturing technique but is limited by the relatively low mechanical strength of cured neat resin parts. In this study, a renewable bio-adhesive lignin was introduced as a reinforcing filler into a bisphenol A-type epoxy acrylate (EA) photocurable resin to enhance the mechanical performance of DLP-printed components. Lignin was incorporated at low concentrations (0–0.5 wt%), and three dispersion methods—magnetic stirring, planetary mixing, and ultrasonication—were compared to optimize the filler distribution. Cure depth tests and optical microscopy confirmed that ultrasonication (40 kHz, 5 h) achieved the most homogeneous dispersion, yielding a cure depth nearly matching that of the neat resin. DLP printing of tensile specimens demonstrated that as little as 0.025 wt% lignin increased tensile strength by ~39% (from 44.9 MPa to 62.2 MPa) compared to the neat resin, while maintaining similar elongation at break. Surface hardness also improved by over 40% at this optimal lignin content. However, higher lignin loadings (≥0.05 wt%) led to particle agglomeration, resulting in diminished mechanical gains and impaired printability (e.g., distortion and incomplete curing at 1 wt%). Fractographic analysis of broken specimens revealed that well-dispersed lignin particles act to deflect and hinder crack propagation, thereby enhancing fracture resistance. Overall, this work demonstrates a simple and sustainable approach to reinforce DLP 3D-printed polymers using biopolymer lignin, achieving significant improvements in mechanical properties while highlighting the value of bio-derived additives for advanced photopolymer 3D printing applications. Full article

Our study examines whether the inflow of rural-to-urban migration increases the productivity of manufacturing firms in China, using cross-sectional data from the 2005 China 1% Population Survey and the Annual Survey of Industrial Firms. The analysis accounts for firm heterogeneity—including ownership, export orientation, and industry type—and explores the moderating role of regional minimum wage policies. The results indicate that the inflow of rural-to-urban migration significantly enhances firm productivity through agglomeration effects, technological efficiency, and cost advantages, and the findings remain robust under alternative specifications. Productivity gains are most pronounced among private, non-exporting, and technology-intensive firms, while the effects are weaker or insignificant for state-owned and exporting firms due to higher skill requirements and labor mismatches. At the regional level, moderate minimum wage standards amplify the productivity benefits of migration, whereas higher wage levels reduce cost advantages. These results highlight that the productivity effects of rural-to-urban migration are context-dependent—shaped by firm characteristics and regional wage settings. The study contributes new empirical evidence to the international literature on labor mobility and sustainable industrial productivity and provides policy insights aligned with the United Nations Sustainable Development Goals, emphasizing differentiated regional and sectoral strategies for inclusive and sustainable growth. Full article