Fitting-based Cutting Force Estimation for Machine Tool with Encoder Resolution Analysis

被引：0
|
作者：
Hayashi, Takumi [1 ]
Fujimoto, Hiroshi [1 ]
Isaoka, Yoshihiro [2 ]
Terada, Yuki [2 ]
机构：
[1] Univ Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778561, Japan
[2] DMG MORI CO LTD, 1 Sanjohonmachi, Nara 6308122, Japan
来源：
2023 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS, ICM | 2023年
关键词：
Machine tool; cutting force estimation; twoinertia system; disturbance observer; ROBUST;
D O I：
10.1109/ICM54990.2023.10101950
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The cutting process with machine tools plays an important role in the industry. Cutting force is a crucial factor in monitoring the tool status, and thus its sensorless estimation is gaining attention. The aim of this study is to develop a practical cutting force estimation. In this study, the encoder resolution is focused on, and the effect of encoder resolution on cutting force estimation is analyzed. Then, a cutting force estimation method robust to the quantization of the encoder signal is proposed. The experiments with an actual machine tool are performed, and the effectiveness of the proposed approach is demonstrated.
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页数：6
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