样条刀具轨迹的两阶段LP/NLP进给速度优化

IF 5.4 2区工程技术 Q2 ENGINEERING, MANUFACTURING

CIRP Journal of Manufacturing Science and Technology Pub Date : 2025-05-01 DOI:10.1016/j.cirpj.2025.04.005

Katharine Nancy DiCola , Christina Qing-Ge Chen , Serafettin Engin (3) , Kaan Erkorkmaz (1)

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引用次数: 0

摘要

进给速度优化是一个复杂的非线性问题，对提高多轴加工的生产率至关重要。本文提出了一种利用线性规划（LP）和非线性规划（NLP）在双窗口配置中的新方法，用于优化长样条刀具路径的进给轮廓。LP能够处理限制轴速度、加速度和抖动的运动学约束。随后，NLP解决了在保守性较低（尽管是非线性的）电机转矩和伺服误差约束下的最小时间问题。虽然NLP增加了近一个数量级的计算时间，但在进行的模拟案例研究中，它通常可以将运动时间提高30%。并在三轴路由器上对优化后的轨迹进行了测试。

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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Two-stage LP/NLP feedrate optimization for spline toolpaths

Feedrate optimization is an inherently nonlinear and complex problem, but also critical to enhancing the productivity of multi-axis machining operations. This paper presents a new approach to utilize linear programming (LP) alongside nonlinear programming (NLP) in a dual windowing configuration, for optimizing the feed profile for long spline toolpaths. LP is able to handle kinematic constraints of limiting axis velocity, acceleration, and jerk. NLP, afterwards, solves the minimum time problem subject to less conservative, albeit nonlinear, motor torque and servo error constraints. While NLP adds nearly an order of magnitude computation time, in the simulation case studies conducted, it was seen to improve motion time by typically 30 %. The optimized trajectory was also tested on a 3-axis router.

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来源期刊

CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering

CiteScore

9.10

自引率

6.20%

发文量

166

审稿时长

63 days

期刊介绍： The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.