Artificial Neural Networks-Based Material Parameter Identification for Numerical Simulations of Additively Manufactured Parts by Material Extrusion

Artificial Neural Networks-Based Material Parameter Identification for Numerical Simulations of Additively Manufactured Parts by Material Extrusion

To be able to use finite element (FE) simulations in structural component development, experimental investigations for the characterization of the material properties are required to subsequently calibrate suitable material cards. In contrast to the commonly used computational and time-consuming met...

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Bibliographic Details
Main Authors: Paul Meißner, Hagen Watschke, Jens Winter, Thomas Vietor
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Polymers
Subjects:
parameter identification
direct inverse model calibration
machine learning
hyperparameter optimization
feedforward artificial neural network
modeling strategy
Online Access:https://www.mdpi.com/2073-4360/12/12/2949

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