Intelligent Design of Six-Speed Gearbox: An AI Approach Using Python

Shubhangi Chougule

Abstract: This paper presents an innovative AI-enhanced integrated approach to the design of a six-speed constant mesh gearbox, utilizing CATIA software for the engineering design process and a Python-based calculator to evaluate vehicle speed based on various performance parameters. The primary objective of the study is to optimize vehicle performance by thoroughly examining the intricate interplay between critical factors such as gearbox design, tire size, road gradient, and final gear ratio. To achieve this, we begin by establishing a comprehensive framework that captures the essential elements of gearbox design. By employing CATIA, we create detailed 3D models that adhere to mechanical standards while allowing for iterative testing of different design configurations. Concurrently, we develop a Python-based computational tool that integrates real-time data inputs and allows for the simulation of vehicle performance under various conditions. The findings of this research illustrate the potential of combining advanced design tools and AI methodologies in the field of automotive engineering. The results demonstrate significant improvements in design efficiency and vehicle performance compared to traditional approaches, underscoring the importance of integrating computational intelligence into the engineering design process. This work not only contributes to more effective gearbox design but also sets a foundation for future innovations in automotive technology, promoting the development of smarter, more efficient vehicles.

Keywords: AI in mechanical engineering; Gearbox design; CAD; Python programming; Automotive