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pro vyhledávání: '"Marc Harmening"'
Autor:
Dario Antweiler, Marc Harmening, Nicole Marheineke, Andre Schmeißer, Raimund Wegener, Pascal Welke
Publikováno v:
Machine Learning with Applications, Vol 8, Iss , Pp 100288- (2022)
Nonwoven materials consist of random fiber structures. They are essential to diverse application areas such as clothing, insulation and filtering. A long term goal in industry is the simulation-based optimization of material properties in dependence
Externí odkaz:
https://doaj.org/article/bc7b090cbfa44dbd9139cbd3f1f28db2
Publikováno v:
Mathematics in Industry ISBN: 9783031118173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb181786f2ca2aefa410d4b14e902181
https://doi.org/10.1007/978-3-031-11818-0_17
https://doi.org/10.1007/978-3-031-11818-0_17
Autor:
Dario Antweiler, Marc Harmening, Nicole Marheineke, Andre Schmeißer, Raimund Wegener, Pascal Welke
Publikováno v:
Software Impacts. 14:100423
Nonwoven fiber materials are omnipresent in diverse applications including insulation, clothing and filtering. Simulation of material properties from production parameters is an industry goal but a challenging task. We developed a machine learning ba
Publikováno v:
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 101
In this paper, we propose a model-simulation framework for virtual tensile strength tests of random fiber structures, as they appear in nonwoven materials. The focus is on the efficient handling with respect to the problem-inherent multi-scales and r
Publikováno v:
PAMM. 20