Open AccessAn approach for rapid prediction of textile draping results for variable composite component geometries using deep neural networks
Author(s) -
Clemens Zimmerling,
Daniel Trippe,
Benedikt Fengler,
Luise Kärger
Publication year - 2019
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5112512
Subject(s) - formability , convolutional neural network , computer science , artificial neural network , component (thermodynamics) , design for manufacturability , computation , process (computing) , deep drawing , forming processes , artificial intelligence , algorithm , mechanical engineering , engineering , materials science , physics , composite material , thermodynamics , operating system
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