Impact of hybrid workpieces on statistical process monitoring of machining operations
This paper examines the influence of material transition on a process monitoring approach based on confidence limits for friction-welded EN-AW6082/20MnCr5 shafts. Process error sensitivity was investigated for different control and acceleration signals as well as for the first principal component during slot milling. To that end, three material defects were applied by a hole, stainless steel rod, and high-speed steel drill. The signal changes caused by these defects were characterized by amplitude, duration, and shape. Based on the information, errors were simulated for each signal, which were used to evaluate the confidence limits and to compare the detection time for the entire machining process. A new methodology was developed to evaluate process monitoring systems with regard to error sensitivity. It was determined that errors were not detected during the entire process due to the material transition. By combining features with the first principal component analysis, the sensitivity of process monitoring had been improved by more than 50%.
KeywordsMonitoring Milling Hybrid parts Sensor data fusion
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The results presented in this paper were obtained within the Collaborative Research Centre 1153 “Process chain to produce hybrid high performance components by Tailored Forming” in the subproject B5. The authors would like to thank the German Research Foundation (DFG) for the financial and organizational support of this project.
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