Multiscale Modeling and Hybrid Fuzzy Control of Decarburization in Grinding Hardening Processes

Decarburization significantly affects the surface properties of workpiece after grinding hardening.To effectively control the decarburization during grinding hardening, a comprehensive control model of carbon content on the surface of grinding-hardened workpiece is established based on molecular dynamics and a fuzzy logic algorithm.Based on the removal mechanism of grinding, a molecular dynamics model of grinding hardening is established, a mass of data of the decarburization of grinding hardening is obtained, and the data of surface roughness, hardness, and residual stress of workpiece are obtained through a grinding hardening experiment.Based on the model and experimental data, using the fuzzy logic control module of MATLAB, the forward and reverse fuzzy logic control models of decarburization are established.The forward model effectively estimated the integrity parameters of the machined surface.The reverse model can realize comprehensive control of decarburization, which ensures a reasonable range of decarburization under the condition that other machined surface integrity parameters are suitable for various working conditions

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Publication Details

Journal
Research Review
Published
2025-08-04
DOI
https://doi.org/10.52845/cs/2025-5-3-73
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
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article

Multiscale Modeling and Hybrid Fuzzy Control of Decarburization in Grinding Hardening Processes

Xiaoliang Shi
Research Review
Advanced machining processes and optimization
article

Multiscale Modeling and Hybrid Fuzzy Control of Decarburization in Grinding Hardening Processes

Xiaoliang Shi
article en

Abstract

Decarburization significantly affects the surface properties of workpiece after grinding hardening.To effectively control the decarburization during grinding hardening, a comprehensive control model of carbon content on the surface of grinding-hardened workpiece is established based on molecular dynamics and a fuzzy logic algorithm.Based on the removal mechanism of grinding, a molecular dynamics model of grinding hardening is established, a mass of data of the decarburization of grinding hardening is obtained, and the data of surface roughness, hardness, and residual stress of workpiece are obtained through a grinding hardening experiment.Based on the model and experimental data, using the fuzzy logic control module of MATLAB, the forward and reverse fuzzy logic control models of decarburization are established.The forward model effectively estimated the integrity parameters of the machined surface.The reverse model can realize comprehensive control of decarburization, which ensures a reasonable range of decarburization under the condition that other machined surface integrity parameters are suitable for various working conditions

Research Review
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Advanced machining processes and optimization
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Multiscale Modeling and Hybrid Fuzzy Control of Decarburization in Grinding Hardening Processes — Xiaoliang Shi · Research Review (2025) | TGRS Research Map | TGRS