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IJAT Vol.15 No.6 pp. 860-867
doi: 10.20965/ijat.2021.p0860
(2021)

Paper:

On-Machine Estimation of Workholding State for Thin-Walled Parts

Jingkai Zeng, Koji Teramoto, and Hiroki Matsumoto

Division of Engineering, Muroran Institute of Technology
27-1 Mizumoto, Muroran, Hokkaido 050-8585, Japan

Corresponding author

Received:
March 31, 2021
Accepted:
June 30, 2021
Published:
November 5, 2021
Keywords:
machining accuracy, on-machine shape estimation, FEM analysis, workholding state, thin-walled parts
Abstract

The objective of this research is to investigate an on-machine estimation method to achieve efficient and fast estimation of the fixturing force and workpiece deformation. The estimation enables us to visualize workholding states and improves machining accuracies of thin-walled parts. In this research, a systematic estimation method of workholding states which combines fixturing simulation and locally measured strain is proposed and evaluated. The proposed on-machine estimation method is evaluated in different workholding conditions (clamping sequences and fixturing forces). Estimated fixturing force and workpiece deformation for a clamped thin-walled workpiece were compared to the results from the engineering experiments. From the comparison, it becomes clear that the proposed method has the feasibility to detect improper workholding states such as insufficient fixturing force or excessive deformation.

Cite this article as:
Jingkai Zeng, Koji Teramoto, and Hiroki Matsumoto, “On-Machine Estimation of Workholding State for Thin-Walled Parts,” Int. J. Automation Technol., Vol.15, No.6, pp. 860-867, 2021.
Data files:
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Last updated on Nov. 30, 2021