Custom post-processor based on the PSO algorithm for 5 axis machine tool compensation

IF 6.1 1区工程技术 Q1 ENGINEERING, MANUFACTURING

Journal of Manufacturing Processes Pub Date : 2024-11-21 DOI:10.1016/j.jmapro.2024.10.058

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.

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基于 PSO 算法的定制后处理器，用于 5 轴机床补偿

本研究介绍了一种利用元启发式 PSO 算法对五轴数控机床进行几何误差补偿的创新方法。该方法侧重于利用机床的逆运动学模型对轨迹路径进行后处理，同时考虑到机床的几何误差以及设计阶段 CAD/CAM 软件的影响。这就产生了一个多目标优化问题，既要避免刀具和工件之间的碰撞和干涉，又要补偿机床的非线性误差，以使实际刀具路径尽可能接近 CAM 设计。此外，这种对不同误差源的综合分析有助于更好地理解误差源对加工精度的影响，并探索可改善五轴机床运动曲线的替代刀具路径。最后，该框架还具有未来扩展的潜力，可通过增强的三维接触检测算法甚至是表面形貌估算来适应更复杂的工件几何形状。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Manufacturing Processes ENGINEERING, MANUFACTURING-

CiteScore

10.20

自引率

11.30%

发文量

833

审稿时长

50 days

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.