Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 14, 2021 - November 18, 2021
This paper presents an identification method for milling simulation parameters by utilizing spindle speed variation (SSV) method. In order to realize highly-efficient and highly-accurate cutting, optimization of processing conditions is inevitable. Cutting simulation is utilized to predict cutting force and process stability. As the prediction accuracy depends on accuracy of the parameters used for the simulation, the identification is significantly important. The fast identification method developed by the authors in the previous study has a problem of low identification accuracy that should be improved. To improve the identification accuracy, SSV method is applied in the present study. Analytical investigations verified that the parameters identification accuracy is significantly improved by applying SSV.
