Sensory chuck jaw for enhancing accuracy in turning thin-walled parts

被引:0
|
作者
Moehring, Hans-Christian [1 ]
Gutsche, Daniel [1 ]
机构
[1] Univ Stuttgart, Inst Machine Tools IfW, Holzgartenstr 17, D-70174 Stuttgart, Germany
关键词
Machine tool; Turning; Monitoring; DEFORMATION; DEVIATIONS;
D O I
10.1016/j.cirp.2024.04.082
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In turning thin-walled parts, machining errors and deviations from the aspired workpiece shape occur due to influences of the workpiece clamping and elastic deformations of the workpiece caused by clamping forces. This paper introduces a newly designed sensor integrated chuck jaw for turning applications, which allows for an on-line monitoring of the actual clamping forces and an in-process prediction of shape deviations of the machined parts. The design and characteristics of the sensory jaw are described and its monitoring capability is validated in turning experiments. Correlations of sensor data with workpiece shape deviations and models for error prediction are analyzed. (c) 2024 The Author(s). Published by Elsevier Ltd on behalf of CIRP. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
引用
收藏
页码:285 / 288
页数:4
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