Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing
Author:   Mustafa Mamduh Mustafa Awd
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2022
ISBN:  

9783658402365


Pages:   255
Publication Date:   02 January 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing


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Author:   Mustafa Mamduh Mustafa Awd
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1st ed. 2022
Weight:   0.391kg
ISBN:  

9783658402365


ISBN 10:   3658402369
Pages:   255
Publication Date:   02 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction and objectives.- Background on process-property relationship.- Training and testing data.- Estimation of lifetime trends based on FEM.- Bayesian inferences of fatigue-related influences.- Summary and outlook.- References.

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Author Information

Mustafa Mamduh Mustafa Awd heads the Workgroup Modeling and Simulation at the Chair of Materials Test Engineering (WPT). He deals with the problem of multiscale numerical analysis of the effect of microstructural heterogeneities on fatigue strength by adapting quantum mechanical methods and data-driven algorithms alongside numerical optimization. The developed general-purpose models help increase the structural stability and production efficiency of modern manufacturing processes.

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