Role of MATLAB In Thermoelastic Models and Recent Advances In Thermoelectricity

Abstract

Thermoelasticity is an important field that merges ther- modynamics and elasticity. Its development has greatly benefited from the use of computational tools like MAT- LAB. MATLAB is a powerful platform for modeling, sim- ulating, and analyzing thermoelastic phenomena because it can manage complex numerical methods, symbolic calcula- tions, and visual representations. This paper discusses how MATLAB is crucial in addressing thermoelastic challenges, such as steady-state and transient thermal stresses, thermal shock, and coupled field issues. The software’s capacity to utilize finite element methods, boundary element methods, and analytical approaches makes it valuable for creating ad- vanced materials and structures subjected to thermal and mechanical stress. Current research in thermoelasticity emphasizes small- scale systems, smart materials, and functionally graded ma- terials. The integration of machine learning tools within MATLAB has broadened its application for creating pre- dictive models and designing materials with specific proper- ties. Additionally, advancements in parallel computing and hardware-in-the-loop systems have increased the efficiency of thermoelastic simulations for real-time use. This paper reviews recent innovations in thermoelastic modeling and underscores MATLAB’s importance in pro- gressing research in this area. Case studies illustrate how the software is effective in examining complex thermo- mechanical interactions relevant to aerospace, automotive, and biomedical engineering fields. Future research may in- volve quantum-level simulations and the use of AI-based techniques for multi-scale modeling.