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3 articles for “functionally graded coatings”
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Development of Multilayer Metallic Coatings with Graded Interfaces for Enhanced Wear and Fatigue Resistance in Aerospace Components
Abstract: This study presents a comprehensive investigation into the development and characterization of multilayer metallic coating systems with compositionally graded interfaces, specifically engineered to enhance wear and fatigue resistance in aerospace structural and rotating components. Four coating architectures were systematically designed: (i) CrN/TiAlN bilayer, (ii) TiN/TiAlN/TiAlSiN gradient trilayer, (iii) CrAlN/AlCrN nanolaminate, and (iv) a novel five-layer CrN–TiN–TiAlN–AlCrN–TiAlSiN functionally graded system (FGS). Coatings were deposited via high-power impulse magnetron sputtering (HiPIMS) and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 50–67 Read article
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A Mini Review of Synthesis and Applications of Functionally Graded Materials
Abstract: Material composition or microstructure varies gradually along the thickness over a specific volume in functionally graded material (FGM) that results in spatial change in properties like thermal conductivity, strength, stiffness, electrical, magnetic, and light properties, etc. Application of the concept of FGM leads to a single product that has multiple properties in it as demanded by the operational or functional requirements of the product under service conditions. It also allows …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 54–65 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article