Research on Deformation and On-line Compensation of Straight Micro Thin Walls in Micro Milling Process

被引：0

作者：

Li Y. ^{[1
]}

Cheng X.

Ling S. ^{[2
]}

Zheng G. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Shandong University of Technology, Zibo

[2] School of Mechanical Engineering, Dalian University of Technology, Dalian

来源：

Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2023年 / 50卷 / 04期

关键词：

cantilever beam method; deformation; micro milling; on-line compensation; thin wall;

D O I：

10.16339/j.cnki.hdxbzkb.2022201

中图分类号：

学科分类号：

摘要：

Elastic deformation has always been a key factor restricting the machining quality in thin walled machining. In order to solve this problem，a method for the prediction and compensation of elastic deformation is investigated in this study. Firstly，based on the finite element method，a layered milling model is built for the straight micro-thin wall with different thicknesses. The deformation law of the thin wall along the direction of height and length is studied. A thin wall deformation model with the cantilever beam method is establishedby considering the effect of material removal on the stiffness of the thinwall. Secondly，a single degree of freedom cutting force measurement and real-time cutting parameter compensation device is developed. The thin wall deformation is estimated based on the cutting force and deformation model measured in real-time during the thin wall cutting process. The deformation prediction is used for the compensation value to compensate for the radial cutting parameters in real-time. At last，a comparative experiment is conducted. The results show that the average relative error of the thin wall decreases from 6.86% to 2.19% after the radial cutting parameter compensation，which verifies the model reliability and the effectiveness of the compensation device. © 2023 Hunan University. All rights reserved.

引用

页码：87 / 96

页数：9

共 23 条

[1]

CHEN W F, CHEN H., Active compensation methods of machining deformation of thin-walled parts［J］, Acta Aeronau⁃ tica et Astronautica Sinica, 30, 3, pp. 570-576, (2009)

[2]

HU Q W, QIAO L H, ZHANG H W., Optimization of thin-walled part milling parameters based on finite element and orthogonal dominance analysis ［J］, Journal of Mechanical Engineering, 49, 21, pp. 176-184, (2013)

[3]

NC milling deformation forecasting of aluminum alloy thin-walled workpiece based on orthogonal cut⁃ ting experiments and CAD/CAM/FEA integration paper title［J］, International Journal of Control and Automation, 7, 9, pp. 67-80, (2014)

[4]

JOSHI S N., 3D finite element modeling of thin-wall machining of aluminum 7075-T6 alloy［C］, 5th International & 26th All India Manufacturing Technology，Design and Research Conference（AIMTDR 2014）, pp. 135-1, (2014)

[5]

HUANG W W，, ZHANG Y，, ZHANG X Q, Et al., Wall thickness error prediction and compensation in end milling of thin-plate parts［J］, Precision Engineering, 66, pp. 550-563, (2020)

[6]

BUDAK E．, Prediction of workpiece dynamics and its effects on chatter stability in milling［J］, CIRP Annals, 61, 1, pp. 339-342, (2012)

[7]

SONG G., Research on surface error prediction in milling process of thin wall part based on accurate cutting force modeling［D］, (2012)

[8]

YUE C X, CHEN Z T，, LIANG S Y, Modeling machining er⁃ rors for thin-walled parts according to chip thickness［J］, The In⁃ ternational Journal of Advanced Manufacturing Technology, 103, 1/2/3/4, pp. 91-100, (2019)

[9]

KANT R, JOSHI S N，, DIXIT U S．, An integrated FEM-ANN model for laser bending process with inverse estimation of absorp⁃ tivity［J］, Mechanics of Advanced Materials and Modern Pro⁃ cesses, 1, (2015)

[10]

HOU Y H, ZHANG D H, ZHANG Y．, Error compensation model⁃ ing and learning control method for thin-walled part milling pro⁃ cess［J］, Journal of Mechanical Engineering, 54, 17, pp. 108-115, (2018)

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