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Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing
Engelsk Paperback
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Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing

Engelsk Paperback

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Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
255
ISBN-13:
9783658402365
Indbinding:
Paperback
Udgave:
ISBN-10:
3658402369
Kategori:
Udg. Dato:
2 jan 2023
Længde:
0mm
Bredde:
148mm
Højde:
210mm
Forlag:
Springer Fachmedien Wiesbaden
Oplagsdato:
2 jan 2023
Oversætter:
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