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Process monitoring and impulse detection in face milling using capacitive acceleration sensors based on MEMS

 
: Clauß, B.; Meinecke, C.; Günther, W.; Akthari, S.; Albers, J.; Forke, R.; Streit, P.; Reuter, D.; Schubert, A.

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Volltext ()

Procedia CIRP 93 (2020), S.1454-1459
ISSN: 2212-8271
Conference on Manufacturing Systems (CMS) <53, 2020, Online>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer ENAS ()

Abstract
High-performance acceleration sensors acquire increasing relevance for process monitoring and crash detection. In this regard, a newly developed sensor system is realised comprising an 8 kHz and a 20 kHz high-acceleration MEMS-based sensor. This research presents proof of functionality of the sensor system conducting cutting experiments and impulse detection tests. For cutting tests, a 42CrMo4 steel grade is machined with cemented carbide milling tools. The process data indicate that distinct cutting processes stages and crash related impulses can be recognised reliably. As general functionality is proven, the sensor system can be evolved for industrial process monitoring and crash detection applications.

: http://publica.fraunhofer.de/dokumente/N-614402.html