Generative Software for Automated Mechanical Simulations
DOI:
https://doi.org/10.47363/JMSMR/2026(7)227Keywords:
Mechanical Simulations, machine tools, manufatruing process, designing spindle, finite elementAbstract
Nowadays, process of automation is becoming increasingly prominent in nearly all areas of life. Its goal is to streamline routine processes that are time consuming and can also lead to errors. This article presents an innovative approach to the design of spindle heads that combines the principles of generative programming and adaptive design. It introduces a method for replacing the traditional iterative design process with an automated process in which, using a custom-built software tool, it will be possible to autonomously generate, analyze, and optimize proposed design variants based on precisely defined input parameters and target requirements. The aim of this paper was to create a software tool for the design of spindles and their subsequent verification through automated simulations. The article presents sequence diagrams that the proposed software executes in the background during specific procedures. The main output of the practical part is the verification of the analytical calculation integrated into a separate module in the proposed software and the analysis of simulations performed in ANSYS software. The entire component testing process will also be demonstrated using a sample example of a machine tool spindle. The process will be described in full, covering the analytical method used to determine total deflection, the incorporation of the effect of changes in the stiffness of the bearing nodes, as well as the selection of the tool, the material being machined, and the associated machining conditions. The results for total deflection will be divided into two groups. The first group will consist of total deflection calculations using the presented analytical formulas for deflection calculation. The second group of results will consist of deflection values obtained through automated simulations using ANSYS simulation software, while maintaining the same input parameters as in the analytical calculation. At the end of the article, both sets of results are compared and evaluated, and further research objectives in this area are proposed.