Zobrazeno 1 - 6
of 6
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d01f7336e769f11c7676cc8f07866cc1
https://doi.org/10.1016/j.simpa.2022.100423
https://doi.org/10.1016/j.simpa.2022.100423
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f96302465952006c2400de19876a3b5
https://doi.org/10.1002/zamm.202000287
https://doi.org/10.1002/zamm.202000287
Publikováno v:
PAMM. 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27ea163d17b3183cf1c192f506c8b808
https://doi.org/10.1002/pamm.202000111
https://doi.org/10.1002/pamm.202000111
Autor:
Matthias Ehrhardt, Michael Günther
This book gathers peer-reviewed contributions submitted to the 21st European Conference on Mathematics for Industry, ECMI 2021, which was virtually held online, hosted by the University of Wuppertal, Germany, from April 13th to April 15th, 2021. The