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IJAT Vol.12 No.2 pp. 230-237
doi: 10.20965/ijat.2018.p0230
(2018)

Paper:

Geometric Error Compensation of Five-Axis Machining Centers Based on On-Machine Workpiece Measurement

Ryuta Sato and Keiichi Shirase

Department of Mechanical Engineering, Kobe University
1-1 Rokko-dai, Nada, Kobe 657-8501, Japan

Corresponding author

Received:
August 24, 2017
Accepted:
December 26, 2017
Online released:
March 1, 2018
Published:
March 5, 2018
Keywords:
five-axis machining center, geometric error, observation equation, compensation, on-machine measurement
Abstract

This study proposes an identification and compensation method for the geometric errors of the rotary axes in five-axis machining centers, based on the on-machine measurement results of the machined workpiece. Geometric errors can be identified from the shape geometry of the workpiece machined by five-axis motions because the influence of the errors appears on the shape geometry. An observation equation can be obtained based on the geometric error model and machined shape. The actual geometric errors can be identified by the least square matching of the measured and simulated machined shapes. In order to confirm the effectiveness of the proposed method, an actual cutting test and a simulation are performed. Based on their results, it is confirmed that the proposed method can successfully identify the geometric errors in the simulation. However, these errors cannot be identified in the experiments because a few of them do not have sufficient influences onto the machined shape. On the other hand, although the geometric errors cannot be correctly identified, it is confirmed that the they can be adequately compensated for based on the identified errors in both the simulation and experiment.

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Cite this article as:
Ryuta Sato and Keiichi Shirase, “Geometric Error Compensation of Five-Axis Machining Centers Based on On-Machine Workpiece Measurement,” Int. J. Automation Technol., Vol.12, No.2, pp. 230-237, 2018
Ryuta Sato and Keiichi Shirase, Int. J. Automation Technol., Vol.12, No.2, pp. 230-237, 2018

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Last updated on Jun. 22, 2018