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Open Access

Efficient prediction of machining errors caused by tool deflection in down milling

Dan-Yang WENMin WAN,( )
State IJR Center of Aerospace Design and Additive Manufacturing, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, China

Peer review under responsibility of Editorial Committee of JAMST

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Abstract

Tool deflection is severe in the micro milling process with flexible tools. Existing models usually predicted the machining errors caused by tool deflection through time-consuming iteration algorithms. This article presents an efficient method to predict the machining errors caused by tool deflection in the side-wall milling process. The concept of equivalent modulus is proposed to describe the tool deflection behavior under cutting loads. It is found that the radial cutting force at the immersion angle of π is the actual cause of the machining errors. To describe the influence of instantaneous actual cutting direction shifts in the down milling process with flexible tools, the cutter is regarded as pressing into the workpiece during the cutting process, and the total cutting load is regarded as the combination of cutting forces and the press force. The material piling up and strain hardening is included in this model. Verifications show that the proposed model can greatly save the computational time without losing prediction accuracy.

References

1

M. Wan, D.-Y. Wen, W.-H. Zhang, Y. Yang, Prediction of cutting forces in flexible micro milling processes by considering the change of instantaneous cutting direction, Journal of Manufacturing Processes 90 (2023) 180-195.

2

D. Biermann, P. Kahnis, Analysis and simulation of size effects in micromilling, Production Engineering 4 (2010) 25-34.

3

D. Cica, B. Sredanovic, G. Mijušković, Experimental investigation of tool deflection in micro-milling of fine-grained graphite, The International Journal of Advanced Manufacturing Technology 123 (2022) 161-168

4

P. Dépincé, J.-Y. Hascöet, Active integration of tool deflection effects in end milling. part 1. prediction of milled surfaces, International Journal of Machine Tools and Manufacture 46 (9) (2006) 937-944.

5

D. Wang, L. Penter, A. Hänel, Y. Yang, S. Ihlenfeldt, Investigation on dynamic tool deflection and runout-dependent analysis of the micromilling process, Mechanical Systems and Signal Processing 178 (2022)109282

6

S.-H. Suh, J.-H. Cho, J.-Y. Hascoet, Incorporation of tool deflection in tool path computation: Simulation and analysis, Journal of Manufacturing Systems 15 (3) (1996) 190-199.

7

G. Mijušković, P. Krajnik, J. Kopač, Analysis of tool deflection in micro milling of graphite electrodes, The International Journal of Advanced Manufacturing Technology 76 (2015) 209-217.

8

A. Mamedov, S. E. Layegh K., I. Lazoglu, Instantaneous tool deflection model for micro milling, The International Journal of Advanced Manufacturing Technology 79 (2015) 769-777.

9

P. Rodríguez, J. E. Labarga, Tool deflection model for micromilling processes, The International Journal of Advanced Manufacturing Technology 76 (2015) 199-207.

10

D. Qu, B. Wang, Y. Gao, H. Cao, A Comprehensive Micro-Milling Force Model for a Low-Stiffness Machining System, Journal of Manufacturing Science and Engineering 143 (11) (2021) 111004.

11

T. M. Moges, K. A. Desai, P. V. M. Rao, Modeling of cutting force, tool deflection, and surface error in micro-milling operation, The International Journal of Advanced Manufacturing Technology 98 (2018) 2865-2881

12

W. Li, L. Wang, G. Yu, Force-induced deformation prediction and flexible error compensation strategy in flank milling of thin-walled parts, Journal of Materials Processing Technology 297 (2021) 117258.

13

D.-Y. Wen, M. Wan, Y.-Y. Ren, W.-H. Zhang, Y. Yang, Material piling up and spreading effects in the cutting processes with small feed rates, Mechanical Systems and Signal Processing 171 (2022) 108839.

14

M. Wan, D.-Y. Wen, Y.-C. Ma, W.-H. Zhang, On material separation and cutting force prediction in micro milling through involving the effect of dead metal zone, International Journal of Machine Tools and Manufacture 146 (2019) 103452.

15
W. Johnson, R. Sowerby, R. D. Venter, Plane-strain slip-line fields for metal-deformation processes, Pergamon, 1982.
16

K. Liu, S. N. Melkote, Finite element analysis of the influence of tool edge radius on size effect in orthogonal micro-cutting process, International Journal of Mechanical Sciences 49 (5) (2007) 650-660.

Journal of Advanced Manufacturing Science and Technology
Cite this article:
WEN D-Y, WAN M. Efficient prediction of machining errors caused by tool deflection in down milling. Journal of Advanced Manufacturing Science and Technology, 2023, 3(2): 2023004. https://doi.org/10.51393/j.jamst.2023004

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Received: 27 February 2023
Revised: 30 March 2023
Accepted: 23 April 2023
Published: 15 April 2023
© 2023 JAMST

This is an Open Access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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