Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing is popular PDF and ePub book, written by Mustafa Mamduh Mustafa Awd in 2023-01-01, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing can be Read Online from any device for your convenience.

Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing Book PDF Summary

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.

Detail Book of Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing PDF

Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing
  • Author : Mustafa Mamduh Mustafa Awd
  • Release : 01 January 2023
  • Publisher : Springer Nature
  • ISBN : 9783658402372
  • Genre : Computers
  • Total Page : 289 pages
  • Language : English
  • PDF File Size : 16,6 Mb

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