Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing

Language: English

Published by Springer Gabler, 2023

3658402369 / 9783658402365

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - Fatigue failure of structures used in transportation, industry, medical equipment, and electronic components needs to build a link between cutting-edge experimental characterization and probabilistically grounded numerical and artificially intelligent tools. The physics involved in this process chain is computationally prohibitive to comprehend using traditional computation methods. Using machine learning and Bayesian statistics, a defect-correlated estimate of fatigue strength was developed. Fatigue, which is a random variable, is studied in a Bayesian-based machine learning algorithm. The stress-life model was used based on the compatibility condition of life and load distributions. The defect-correlated assessment of fatigue strength was established using the proposed machine learning and Bayesian statistics algorithms. It enabled the mapping of structural and process-induced fatigue characteristics into a geometry-independent load density chart across a wide range of fatigue regimes.

Seller Inventory # 9783658402365

Title
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing
Author
Mustafa Mamduh Mustafa Awd
Publisher
Springer Gabler
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3658402369
ISBN 13
9783658402365
Item weight
386 grams
Dimensions
210x148x17 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
First itemUS$ 71.75US$ 83.33
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