Practical Method for Identifying Model Parameters for Machining Error Simulation in End Milling Through Sensor-Less Monitoring and On-Machine Measurement

被引:0
|
作者
Kaneko, Kazuki [1 ]
Kudo, Arisa [1 ]
Waizumi, Takanori [1 ]
Shimizu, Jun [1 ]
Zhou, Libo [1 ]
Ojima, Hirotaka [1 ]
Onuki, Teppei [1 ]
机构
[1] Ibaraki Univ, 4-12-1 Nakanarusawa Cho, Hitachi, Ibaraki 3168511, Japan
关键词
end milling; machining error simulation; pa- rameter identification; tool stiffness; on-machine measure- ment; TOOL ORIENTATION OPTIMIZATION; COMPENSATION;
D O I
10.20965/ijat.2024.p0342
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Depending on cutting conditions, unacceptable machining errors are caused by tool deflection in end milling operations. Many studies have proposed methods for predicting the machining error owing to the tool deflection to achieve the theoretical optimization of the cutting conditions. However, the conventional machining error simulation is not practically utilized to determine the optimal cutting conditions. Tool system stiffness parameters and cutting coefficients must be identified in advance to simulate machining errors. However, dynamometers and displacement sensors are required for parameter identification. Therefore, it is impossible to identify the required parameters in typical factories, which do not possess such special equipment. In this study, a practical method was developed to identify the stiffness parameters that can be determined in factories. The proposed method employs on-machine measurement and sensor-less cutting force monitoring to achieve practical parameter identification. In the proposed method, the profile milling is first conducted. During the milling operation, the cutting force and cuton the sensor-less monitoring technique. After the operation, the machining error distribution on the mations.
引用
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页码:342 / 351
页数:10
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