Integration of Computational Coding in Mechanical Design

Abstract

In the evolving landscape of mechanical engineering, the integration of computational coding tools into mechanical design processes is transforming traditional approaches. This paper explores the applications, advantages, and challenges of using coding languages such as Python, MATLAB, and CAD-specific scripting (e.g., AutoLISP, OpenSCAD) in mechanical design. By automating repetitive tasks, optimizing design parameters, and enabling rapid prototyping through parametric modeling, coding enhances both efficiency and accuracy. The study reviews current industry practices, presents case studies in gear design and thermal analysis, and discusses the potential of coding in simulation, optimization, and AI integration. A comparative analysis demonstrates significant reductions in design time and errors when using coding-aided methods versus manual approaches. The paper concludes with future directions emphasizing the role of coding literacy in the mechanical engineer's skillset for Industry 4.0 and beyond.

Cite as:

P. Rotiwale, & Gujar A. (2025). Integration of Computational Coding in Mechanical Design. Recent Trends in Production Engineering, 8(2), 33–39. 

https://doi.org/10.5281/zenodo.16142711