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基于砂带抛光的轴类零件高精度确定性加工研究

Research on High Precision and Deterministic Figuring for Shaft Parts Based on Abrasive Belt Polishing.

作者信息

Chen Xuelei, Dai Yifan, Hu Hao, Tie Guipeng, Guan Chaoliang

机构信息

College of Artificial Intelligence and Automation, National University of Defense Technology, 109 Deya Road, Changsha 410073, Hunan, China.

出版信息

Materials (Basel). 2019 Apr 29;12(9):1389. doi: 10.3390/ma12091389.

DOI:10.3390/ma12091389
PMID:31035641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6539466/
Abstract

A deterministic figuring method for cylindrical surface based on abrasive belt polishing is proposed in this study in order to improve the geometric accuracy of metal shaft parts. The principal motion of material removal is performed through the axial oscillation of the abrasive belt, and the different material removal at different positions can be obtained through servo control of the machine tool spindle by removing high error spots on the cylindrical surface and finally deterministically corrects the roundness error. An abrasive belt-based deterministic figuring device was built, and the figuring experiments were performed on the surface of steel workpieces 100 mm in diameter and 130 mm in effective length. The roundness errors of the entire workpiece after twice figuring iterations decreased nearly from the initial 3 μm to 1 μm, which preliminary verified the feasibility of this method. This deterministic figuring method is expected to break the machining accuracy limit and improve the rotation precision of the precision shaft parts such as the aerostatic spindle.

摘要

为提高金属轴类零件的几何精度,本研究提出一种基于砂带抛光的圆柱面确定性修形方法。材料去除的主运动通过砂带的轴向摆动来实现,通过对机床主轴的伺服控制,去除圆柱面上的高误差点,从而在不同位置获得不同的材料去除量,最终确定性地修正圆度误差。搭建了基于砂带的确定性修形装置,并在直径100mm、有效长度130mm的钢制工件表面进行了修形实验。经过两次修形迭代后,整个工件的圆度误差从初始的3μm降至1μm左右,初步验证了该方法的可行性。这种确定性修形方法有望突破加工精度极限,提高诸如空气静压主轴等精密轴类零件的旋转精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50a9/6539466/f5661a883131/materials-12-01389-g017.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50a9/6539466/b0f387c6b877/materials-12-01389-g011.jpg
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