Modeling and prediction of fatigue life of brass and EN24 steel using soft computing tool
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference21 articles.
1. Fatigue strength analysis of S34MnV steel by accelerated staircase Test;Ekaputra;Open Eng.,2020
2. Strain-based fatigue date for Ti-6Al -4V ELI under fully-reversed and mean strain loads;Carrion;Date Brief,2016
3. A Review on fatigue life prediction methods for metals;Santecchia;Adv. Mater. Sci. Eng.,2016
4. An understanding of very high cycle fatigue of metals;Marines;Int. J. Fatigue,2003
5. Study of fatigue in metals using ultrasonic techniques;Bratina;Canadian J. Metall. Mater. Sci.,2013
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1. Study on the Fatigue Crack Initiation and Growth Behavior in Bismuth- and Lead-Based Free-Cutting Brasses;Materials;2022-10-25
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