Prediction model for surface layer microhardness of processed TC17 via high energy shot peening
Author:
Publisher
Elsevier BV
Subject
Materials Chemistry,Metals and Alloys,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics
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1. Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network;The International Journal of Advanced Manufacturing Technology;2023-06-14
2. Prediction of residual stress fields after shot-peening of TRIP780 steel with second-order and artificial neural network models based on multi-impact finite element simulations;Journal of Manufacturing Processes;2021-12
3. Grey-Fuzzy Approach to Support the Optimisation of the Shot Peening Process;Advances in Soft Computing;2019
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