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Cemernek David Cemernek Sandra Gursch Heimo Pandeshwar Ashwini Leitner Thomas Berger Matthias Klösch Gerald Kern Roman 《Journal of Intelligent Manufacturing》2022,33(6):1561-1579
Journal of Intelligent Manufacturing - Continuous casting is the most important route for the production of steel today. Due to the physical, mechanical, and chemical components involved in the... 相似文献
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Darko Stanisavljevic David Cemernek Heimo Gursch Günter Urak Gernot Lechner 《国际生产研究杂志》2020,58(9):2862-2884
Additive manufacturing becomes a more and more important technology for production, mainly driven by the ability to realise extremely complex structures using multiple materials but without assembly or excessive waste. Nevertheless, like any high-precision technology additive manufacturing responds to interferences during the manufacturing process. These interferences – like vibrations – might lead to deviations in product quality, becoming manifest for instance in a reduced lifetime of a product or application issues. This study targets the issue of detecting such interferences during a manufacturing process in an exemplary experimental setup. Collection of data using current sensor technology directly on a 3D-printer enables a quantitative detection of interferences. The evaluation provides insights into the effectiveness of the realised application-oriented setup, the effort required for equipping a manufacturing system with sensors, and the effort for acquisition and processing the data. These insights are of practical utility for organisations dealing with additive manufacturing: the chosen approach for detecting interferences shows promising results, reaching interference detection rates of up to 100% depending on the applied data processing configuration. 相似文献
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