Detection of workpiece hardness variation from controller signals in milling operations
by Nevzat Bircan Bugdayci; Martin Postel; Konrad Wegener
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 16, No. 2/3, 2023

Abstract: In this study, an approach to detect and counteract the workpiece material hardness variation in milling operations through the use of controller signals is developed. In order to control the workpiece material hardness variation, steel specimens are subjected to end-quenching, which introduces a controlled hardness gradient to the workpieces. This gradient is then detected from the controller signals without using an additional sensor. It is shown that the process parameters can be adjusted to avoid chatter arising from the increasing hardness, and the productivity can be increased by modifying the process parameters according to the local material hardness.

Online publication date: Thu, 14-Sep-2023

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