Data Synchronization for Model-Based Process Monitoring

被引:3
作者
Klocke, F. [1 ]
Doebbeler, B. [1 ]
Goetz, S. [1 ]
Chandra, D. [1 ]
机构
[1] Rhein Westfal TH Aachen, WZL, Steinbachstr 19, D-52072 Aachen, Germany
来源
17TH MACHINING INNOVATIONS CONFERENCE FOR AEROSPACE INDUSTRY (MIC 2017) | 2017年 / 14卷
关键词
Process monitoring; Industrie; 4.0; Smart Manufacturing; WEAR;
D O I
10.1016/j.promfg.2017.11.016
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Aerospace industry requires high quality parts that often have to fulfill highest safety standards. Hence, process monitoring plays an important role in keeping these goals. In the scope of Industrie 4.0 new approaches to enhance process monitoring technology have emerged, one of which being the merging of simulation with measurement data to increase the quality and reduce the necessity to teach the system first. Due to discrepancies between simulation data and the measured data, new ways of synchronizing the two data sources are required. This paper shows a way to merge simulated torque signals of a hobbing process with the measured effective power signals of the respective spindle motor. (C) 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 17th Machining Innovations Conference for Aerospace Industry.
引用
收藏
页码:136 / 142
页数:7
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