Yasser Zekalmi, María José Oliveros, José Antonio Albajez, Sergio Aguado
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引用次数: 0
Abstract
This study presents an innovative geometric error compensation methodology for 5-axis CNC machines utilizing a meta-heuristic PSO algorithm. This approach focuses on post-processing trajectory paths utilizing the machine's inverse kinematic model, taking into account both machine geometric errors and the influence of CAD/CAM software during the design phase. This results in a multi-objective optimization problem that integrates collision and interference avoidance between the tool and the workpiece while compensating for the non-linear machine errors in order to make the actual tool path to be as close as possible to the CAM-designed. Moreover, this comprehensive analysis of different error sources contributes to a better understanding of their implications on machining precision and allows exploring alternative tool paths that improve the motion profile for 5-axis machines. Finally, this framework has potential for future expansion to accommodate more complex work-piece geometries through enhanced 3D contact detection algorithms or even estimating surface topography.
期刊介绍：
The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.
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