Mechanical Characterization and Performance Evaluation of Functionally Graded Metallic Components for Advanced Engineering Applications
Abstract
Functionally graded metallic components offer a practical route for combining structural reliability with spatially tailored mechanical performance in advanced engineering applications. Unlike single-alloy parts, functionally graded materials (FGMs) allow stiffness, strength, hardness, thermal-expansion behavior, and damage tolerance to vary gradually across a component. This study presents a 2024-style numerical and analytical framework for the mechanical characterization and performance evaluation of a representative additively manufactured 316L stainless steel-Inconel 625 graded component. The framework combines gradient composition planning, additive manufacturing process-energy estimation, mixture-based property prediction, simplified residual-stress calculation, stress-strain response modeling, interface-risk assessment, and model-validation-style error visualization. A representative case study shows that the graded design reduces the normalized interface-risk index by approximately 37%, decreases peak residual-stress severity by about 26%, improves strength retention by 12%, and increases fatigue-readiness potential by 18% compared with a discrete bi-material interface. The results indicate that gradual material transition is not only a metallurgical concept, but also a mechanical design strategy for reducing abrupt property mismatch and improving load-transfer continuity. The proposed framework is intended as an early-stage design tool that can guide experimental planning, finite-element model development, and qualification-oriented testing of functionally graded metallic components.
How to Cite This Article
Md Arman Hossain, Sundar Dangol, Keerthivaasan Matheswaran, Neeraj Singh Gowdhans Venkat (2024). Mechanical Characterization and Performance Evaluation of Functionally Graded Metallic Components for Advanced Engineering Applications . International Journal of Future Engineering Innovations (IJFEI), 1(3), 59-68. DOI: https://doi.org/10.54660/IJFEI.2024.1.3.59-68