Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach

Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach

The shot peening process is a common procedure to enhance fatigue strength on load-bearing components in the metal processing environment. The determination of optimal process parameters is often carried out by costly practical experiments. An efficient method to predict the resulting residual stres...

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Bibliographic Details
Main Authors: Benjamin James Ralph, Karin Hartl, Marcel Sorger, Andreas Schwarz-Gsaxner, Martin Stockinger
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
python scripting
residual stresses
shot peening
finite element analysis
digitalization
machine learning
Online Access:https://www.mdpi.com/2504-4494/5/2/39

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