Modeling and simulation of residual stress in metal cutting process: A review

Due to the complexity of analyzing residual stress, which involves numerous cutting parameters encompassing both mechanical and thermal stresses, various modeling and simulation methods, including analytical, numerical, and machine learning approaches have been summarized. An analytical model for pr...

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Main Author: Ruihu Zhou
Format: Article
Language:English
Published: SAGE Publishing 2024-12-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/16878132241307714
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author Ruihu Zhou
author_facet Ruihu Zhou
author_sort Ruihu Zhou
collection DOAJ
description Due to the complexity of analyzing residual stress, which involves numerous cutting parameters encompassing both mechanical and thermal stresses, various modeling and simulation methods, including analytical, numerical, and machine learning approaches have been summarized. An analytical model for predicting 2D orthogonal cutting and 3D milling residual stress is presented based on the cutting mechanism as well as the loading and unloading history of the stress field. The advancement in computational methods has prompted a review of finite element methods and mesh-free methods along with their principles, advantages, disadvantages, and application fields. Furthermore, machine learning models are employed to predict and control cutting residual stress based on data-driven approaches. These include support vector regression machines, artificial neural networks, and gradient boosted trees. A significant challenge for future work lies in addressing multi-scale size cutting residual stresses through hybrid methodologies.
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institution Kabale University
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series Advances in Mechanical Engineering
spelling doaj-art-2e56c16ed41f4e4d9f6cd37ef5d03e2f2024-12-18T14:07:17ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402024-12-011610.1177/16878132241307714Modeling and simulation of residual stress in metal cutting process: A reviewRuihu ZhouDue to the complexity of analyzing residual stress, which involves numerous cutting parameters encompassing both mechanical and thermal stresses, various modeling and simulation methods, including analytical, numerical, and machine learning approaches have been summarized. An analytical model for predicting 2D orthogonal cutting and 3D milling residual stress is presented based on the cutting mechanism as well as the loading and unloading history of the stress field. The advancement in computational methods has prompted a review of finite element methods and mesh-free methods along with their principles, advantages, disadvantages, and application fields. Furthermore, machine learning models are employed to predict and control cutting residual stress based on data-driven approaches. These include support vector regression machines, artificial neural networks, and gradient boosted trees. A significant challenge for future work lies in addressing multi-scale size cutting residual stresses through hybrid methodologies.https://doi.org/10.1177/16878132241307714
spellingShingle Ruihu Zhou
Modeling and simulation of residual stress in metal cutting process: A review
Advances in Mechanical Engineering
title Modeling and simulation of residual stress in metal cutting process: A review
title_full Modeling and simulation of residual stress in metal cutting process: A review
title_fullStr Modeling and simulation of residual stress in metal cutting process: A review
title_full_unstemmed Modeling and simulation of residual stress in metal cutting process: A review
title_short Modeling and simulation of residual stress in metal cutting process: A review
title_sort modeling and simulation of residual stress in metal cutting process a review
url https://doi.org/10.1177/16878132241307714
work_keys_str_mv AT ruihuzhou modelingandsimulationofresidualstressinmetalcuttingprocessareview