Thermo-mechanical analysis of functionally graded materials using ANSYS and abaqus simulation tools

Abstract

Functionally Graded Materials (FGMs) have gained significant attention in engineering applications due to their superior thermal resistance, mechanical strength, and gradual compositional variations that reduce stress concentrations. This study aims to conduct a comprehensive thermo-mechanical analysis of FGMs using two widely used finite element analysis (FEA) tools, ANSYS and Abaqus, to compare their computational accuracy and effectiveness in predicting temperature distribution, stress, and deformation under varying material gradation indices. The primary objectives include evaluating the impact of material grading on thermal and mechanical responses, assessing the influence of meshing techniques and solver differences, and identifying optimal numerical modeling strategies for FGM simulations. The study employs a power-law material grading function for FGMs transitioning from a metallic base (e.g., titanium or stainless steel) to a ceramic layer (e.g., zirconia or alumina). Thermo-mechanical simulations are performed using ANSYS Mechanical APDL and Abaqus Standard solvers under steady-state thermal and mechanical loading conditions. The sequentially coupled thermo-mechanical analysis approach is used to evaluate temperature gradients, stress distribution, and deformation responses across different gradation indices. Statistical validation using paired t-tests is conducted to determine the significance of variations between ANSYS and Abaqus predictions. The results indicate that both ANSYS and Abaqus provide reliable FGM simulations, with minor variations in stress and deformation predictions, particularly at lower gradation indices. Temperature distribution trends remain consistent, confirming the thermal stability of FGMs. Statistical analysis reveals no significant differences between the two solvers, reinforcing their reliability. Practical recommendations include optimization of mesh refinement, adoption of adaptive meshing techniques, and integration of multi-scale modeling approaches for improved accuracy. This study enhances the understanding of FGM simulation methodologies, providing valuable insights for industries utilizing high-performance materials in aerospace, automotive, and energy sectors.