IJAT Vol.13 No.5 pp. 583-592
doi: 10.20965/ijat.2019.p0583


Improvement of Simultaneous 5-Axis Controlled Machining Accuracy by CL-Data Modification

Ryuta Sato*,†, Kiichi Morishita*, Isamu Nishida*, Keiichi Shirase*, Masanobu Hasegawa**, Akira Saito**, and Takayuki Iwasaki**

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

Corresponding author

**Production Engineering Center, IHI Corporation, Yokohama, Japan

February 26, 2019
June 29, 2019
September 5, 2019
5-axis machine tool, 5-axis controlled motion, CL-data, motion accuracy, compensation

As the motion accuracy of 5-axis machining centers directly influences the geometrical shape accuracy of the machined workpieces, accuracy enhancement of the 5-axis machining centers is strongly needed. To improve the shape accuracy during the machining by a 5-axis machine tool, a method that modifies the CL-data based on the motion trajectory errors normal to the machined surface at each command point has been proposed. In this study, the proposed method is applied to simultaneous 5-axis controlled machining to improve motion accuracy. A normal vector calculation method for the simultaneous 5-axis controlled motion is newly proposed, and the compensation method is applied to turbine blade machining by 5-axis controlled motion. Measurement tests of the cutting motion for blade shape machining by a ball-end mill were carried out with a different control mode of NC. The CL-data for the machining tool path was also modified based on the calculated trajectory of the tool center point. Experimental results reveal that the feed speed and machining accuracy significantly depend on the control mode of NC, and that the shape accuracy can be improved by applying the proposed compensation method without any decrease in motion speed.

Cite this article as:
R. Sato, K. Morishita, I. Nishida, K. Shirase, M. Hasegawa, A. Saito, and T. Iwasaki, “Improvement of Simultaneous 5-Axis Controlled Machining Accuracy by CL-Data Modification,” Int. J. Automation Technol., Vol.13, No.5, pp. 583-592, 2019.
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Last updated on Sep. 19, 2019