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高纵横比直薄壁微铣削的在线补偿

On-Line Compensation for Micromilling of High-Aspect-Ratio Straight Thin Walls.

作者信息

Li Yang, Cheng Xiang, Ling Siying, Zheng Guangming

机构信息

School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.

School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

出版信息

Micromachines (Basel). 2021 May 23;12(6):603. doi: 10.3390/mi12060603.

DOI:10.3390/mi12060603
PMID:34071067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8224812/
Abstract

In order to improve the machining quality and reduce the dimensional errors of micro high-aspect-ratio straight thin walls, the on-line cutting parameter compensation device has been introduced and corresponding micromilling processes have been investigated. Layered milling strategies for the micromilling of thin walls have been modeled and simulated for thin walls with different thicknesses based on the finite element method. The radial cutting parameters compensation method is adopted to compensate the thin wall deformation by raising the radial cutting parameters since the thin wall deformation make the actual radial cutting parameters smaller than nominal ones. The experimental results show that the dimensional errors of the thin wall have been significantly reduced after the radial cutting parameter compensation. The average relative dimensional error is reduced from 6.9% to 2.0%. Moreover, the fabricated thin walls keep good shape formation. The reduction of the thin wall dimensional error shows that the simulation results are reliable, which has important guiding significance for the improvement of thin wall machining quality, especially the improvement of dimensional accuracy. The experimental results show that the developed device and the machining strategy can effectively improve the micromilling quality of thin walls.

摘要

为了提高加工质量并减少微高纵横比直薄壁件的尺寸误差,引入了在线切削参数补偿装置并研究了相应的微铣削工艺。基于有限元方法,对不同厚度薄壁件的微铣削分层铣削策略进行了建模和仿真。由于薄壁变形会使实际径向切削参数小于名义值,因此采用径向切削参数补偿方法,通过提高径向切削参数来补偿薄壁变形。实验结果表明,径向切削参数补偿后薄壁件的尺寸误差显著降低。平均相对尺寸误差从6.9%降至2.0%。此外,加工出的薄壁件保持了良好的形状。薄壁件尺寸误差的减小表明仿真结果可靠,这对提高薄壁件加工质量,特别是尺寸精度的提高具有重要的指导意义。实验结果表明,所开发的装置和加工策略能够有效提高薄壁件的微铣削质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/463f1201ca0f/micromachines-12-00603-g015a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/3a9c357756e6/micromachines-12-00603-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/14a346b760b7/micromachines-12-00603-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/8405974ecc4f/micromachines-12-00603-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/0df83a5a109d/micromachines-12-00603-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/e4f9c682dd56/micromachines-12-00603-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/a77b7011c4fc/micromachines-12-00603-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/62730d9803a1/micromachines-12-00603-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/5df5780f6230/micromachines-12-00603-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/bf7ce16ff288/micromachines-12-00603-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/8403f38c88b0/micromachines-12-00603-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/cd5509747375/micromachines-12-00603-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/fb066b906260/micromachines-12-00603-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/d58c29803e66/micromachines-12-00603-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/89886df173b3/micromachines-12-00603-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/463f1201ca0f/micromachines-12-00603-g015a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/3a9c357756e6/micromachines-12-00603-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/14a346b760b7/micromachines-12-00603-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/8405974ecc4f/micromachines-12-00603-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/0df83a5a109d/micromachines-12-00603-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/e4f9c682dd56/micromachines-12-00603-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/a77b7011c4fc/micromachines-12-00603-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/62730d9803a1/micromachines-12-00603-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/5df5780f6230/micromachines-12-00603-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/bf7ce16ff288/micromachines-12-00603-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/8403f38c88b0/micromachines-12-00603-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/cd5509747375/micromachines-12-00603-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/fb066b906260/micromachines-12-00603-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/d58c29803e66/micromachines-12-00603-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/89886df173b3/micromachines-12-00603-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f94/8224812/463f1201ca0f/micromachines-12-00603-g015a.jpg

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