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001-es BibID:	BIBFORM114998
Első szerző:	Deák Krisztián (gépészmérnök)
Cím:	Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering / Deák Krisztián, Menyhárt József
Dátum:	2023
ISSN:	2498-700X
Megjegyzések:	The optimization of manufacturing and production processes with various computer software is essential these days. Solutions on the market allow us to optimize and improve our manufacturing and production processes; one of the most popular software is called Tecnomatrix, which is described in this paper. Tool condition monitoring is a vital part of the manufacturing process in the industry. It requires continuous measurement of the wear of the cutting tool edges to improve the surface quality of the work piece and maintain productivity. Multiple methods are available for the determination of the actual condition of the cutting tool. Vibration diagnostics and acoustic methods are included in this paper. These methods are simple, it requires only high sensitive sensors, microphones, and data acquisition unit to gather the vibration signal and make signal improvement. Extended Taylor equation is applied for tool edge wear ratio. Labview and Matlab software are applied for the measurement and the digital signal proce ssing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.
Tárgyszavak:	Műszaki tudományok Gépészeti tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Tecnomatix plant simulation tool wear diagnosis machine learning
Megjelenés:	International Journal of Engineering and Management Sciences. - 8 : 3 (2023), p. 72-89. -
További szerzők:	Menyhárt József (1988-) (gépészmérnök, létesítménymérnök, lean szakmérnök)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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