Graph-based tensile strength approximation of random nonwoven materials by interpretable regression

Graph-based tensile strength approximation of random nonwoven materials by interpretable regression

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 of the manufacturing parameters. Recent works deve...

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Bibliographic Details
Main Authors: Dario Antweiler, Marc Harmening, Nicole Marheineke, Andre Schmeißer, Raimund Wegener, Pascal Welke
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Machine Learning with Applications
Subjects:
Nonwoven fiber material
Manufacturing
Textile fabrics
Material property prediction
Graph representation
Interpretable machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000214

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http://www.sciencedirect.com/science/article/pii/S2666827022000214

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