Abstract
This article presents a Python-based parametric Computer-Aided Design (CAD) system coupled with the AutoCAD API for the automation of compound die design. The system seeks to minimize the duration allocated to repeated operations, therefore promoting innovation. The graphical user interface facilitates the straightforward entry of design parameters and the automated production of precise manufacturing drawings. Advanced approaches, including Finite Element Analysis (FEA), topology optimization, and machine learning, are utilized to improve product design, reduce material consumption, and forecast component lifespan under operational stressors. The technology markedly decreases design time relative to conventional methods, rendering it optimal for sectors emphasizing bulk customization and batch production. Moreover, it enhances Time-To-Market (TTM) by providing an efficient process from design to manufacturing, while reducing errors and material waste. This tool has the potential for extensive utilization in mechanical design, especially within small and mediumsized enterprises.
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