This paper presents an approach for transferring surface finishing behaviors to new surfaces while preserving the quality of the process. The idea is to let a human demonstrate the desired grinding behavior on a planar surface and subsequently generate an equivalent grinding behavior on new surface geometry. The transfer of the process quality is accomplished by imitating the material removal rate of a human. This is achieved with an adaptive control that relies on the online estimation of the material removal rate, which depends on the contact area, normal force, tool speed, and tool wear. The proposed approach is verified in simulation and experimentally validated on the grinding of planar and curved surfaces.
|Titel||2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)|
|Status||Udgivet - 2022|
|Begivenhed||18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexico|
Varighed: 20. aug. 2022 → 24. aug. 2022
|Konference||18th IEEE International Conference on Automation Science and Engineering, CASE 2022|
|Periode||20/08/2022 → 24/08/2022|
|Navn||IEEE International Conference on Automation Science and Engineering|
Bibliografisk noteFunding Information:
*This work was supported by MADE FAST. Yitaek Kim, Christoffer Sloth, Aljaz Kramberger are with The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Denmark
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