Prediction of residual stress distribution induced by ultrasonic nanocrystalline surface modification using machine learning-Reference-Cited by-同舟云学术

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Prediction of residual stress distribution induced by ultrasonic nanocrystalline surface modification using machine learning

Published:2024-02 Issue: Volume:188 Page:103570
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Li Chao,Amanov Auezhan,Li Yifei,Wang Can,Wang Dagang,Abdel Wahab Magd

Funder

Ministry of Trade, Industry and Energy

Korea Institute for Advancement of Technology

National Research Foundation of Korea

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference46 articles.

1. Mechanical properties of nanocrystalline materials;Meyers;Prog Mater Sci,2006

2. Nanomechanics of Hall-Petch relationship in nanocrystalline materials;Pande;Prog Mater Sci,2009

3. Grain size effect on wear resistance of a nanostructured AISI52100 steel;Zhou;Scr Mater,2008

4. Effect of defects on the fatigue limit of Ni-based superalloy 718 with different grain sizes;Kevinsanny;Fatigue Fract Eng Mater Struct,2019

5. Effect of grain size on the fatigue crack growth behavior of 2524-T3 aluminum alloy;Shou;Arch Civ Mech Eng,2016

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