Research on polishing parameters optimization for free curved surface

Hongqiang Chen, Chin-Yin Chen, Junjie Li, Zaojun Fang, Huaming Li, Guiqin Li
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引用次数: 1

Abstract

Parameters controlling is a key task during the polishing process with automatic mechanical polishing system, as choosing and controlling the available technical parameter would improve surface quality and achieve smoothly remove surface material. It is necessary to optimize the process parameters for obtaining smooth and uniform polishing surface. In order to realize the control of controllable process parameters, this paper is to study the relationship between surface roughness and parameters of process, such as the normal pressure, circular velocity of the tool and feeding speed by regression analysis method. The polishing of curved surface is complicated and many factor have an effect on the final polishing results. On this basis, it established a surface roughness model for free curved surface. Combined genetic algorithm and surface roughness model, an optimized process parameters model was derived to adapt to the changeable surface of work pieces, and validation experiments are performed on curved surface. The experimental results show that the proposed parameter adjustment strategy is able of achieving a smooth surface and keep good uniformity. It provides a technical basis for removing the material of hub surface smoothly and evenly with robot.
自由曲面抛光参数优化研究
参数控制是自动机械抛光系统抛光过程中的关键环节,选择和控制可用的工艺参数可以提高表面质量,实现表面材料的顺利去除。为了获得光滑均匀的抛光表面,有必要对工艺参数进行优化。为了实现可控工艺参数的控制,本文采用回归分析方法研究了表面粗糙度与法向压力、刀具圆周速度、进给速度等工艺参数之间的关系。曲面抛光是一个复杂的过程,影响抛光效果的因素很多。在此基础上,建立了自由曲面的表面粗糙度模型。将遗传算法与表面粗糙度模型相结合,建立了适应工件表面变化的优化工艺参数模型,并在曲面上进行了验证实验。实验结果表明,所提出的参数调整策略能够获得光滑的表面并保持良好的均匀性。为机器人顺利、均匀地去除轮毂表面材料提供了技术依据。
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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