Development and Application of Cast Steel Numerical Simulation System for Heat Treatment

Wang, Wen; Luo, Guoping; Chongxun, Wang; Zhang, Jie; Zhou, Jianxin; Yin, Yajun; Shen, Xu; Ji, Xiaoyuan

doi:10.1007/s40962-019-00305-4

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…However, when there are new materials or new technical requirements, it still needs a lot of time and cost to adjust the process.With the rapid development of numerical simulation technology, researchers try to use computer simulation technology to solve the problem of final heat treatment process parameter design [9].However, because the heat treatment simulation analysis process is based on mathematical models, it is necessary to continuously expand the material library and update the transfer model to maintain high simulation accuracy. However, in commercial simulation software, there are no corresponding parameters for heavy gears, so it is difficult to obtain the best process parameters through simulation [10]. Therefore, it is of great significance to excavate and extract the experience knowledge formed in the existing process design scheme and apply it effectively to the process design of new products.…”

Section: Introductionmentioning

confidence: 99%

Research on CBR-based intelligent decision-making method for final heat treatment process of new energy heavy truck gear

Zhao

Zhuang

et al. 2023

International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023)

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In order to ensure that the center and surface of the new energy heavy truck gear can meet different performance requirements, the final heat treatment process is carburization and low temperature tempering after quenching, which involves the determination of many process parameters. At present, these parameters are mainly determined manually, but the trial and error period is too long to ensure the effect. In order to solve this problem, this study proposes an intelligent decision-making method. On the basis of accurately describing the local similarity of process characteristic parameters, information entropy is introduced to express the impact of process characteristic parameters on decision-making, and entropy weight method is used to objectively weight process characteristic parameters. Then, the global similarity of process characteristic parameters is determined according to their local similarity and weight. The practical application shows that this method can realize the intelligent decision-making of the final heat treatment process parameters of new energy heavy truck gears.

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Section: Introductionmentioning

confidence: 99%

Research on CBR-based intelligent decision-making method for final heat treatment process of new energy heavy truck gear

Zhao

Zhuang

et al. 2023

International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023)

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“…In the process of rail manufacturing, the thermal stress caused by internal heating increases the loss of rail. Heat treatment technology ensures rail quality by eliminating thermal stress [ 7 , 8 , 9 ]. Eddy current heating technology, which has the advantages of high performance and environmental protection, has been widely applied [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Eddy Current Welding of Rail: Three-Dimensional Simulation

Sun

Liu

Song

et al. 2020

Entropy

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In this paper is given a three-dimensional numerical simulation of the eddy current welding of rails where the longitudinal two directions are not ignored. In fact, usually it is considered a model where, in the two-dimensional numerical simulation of rail heat treatment, the longitudinal directions are ignored for the magnetic induction strength and temperature, and only the axial calculation is performed. Therefore, we propose the electromagnetic-thermal coupled three-dimensional model of eddy current welding. The induced eddy current heat is obtained by adding the z-axis spatial angle to the two-dimensional electromagnetic-thermal, thus obtaining some new results by coupling the numerical simulation and computations of the electric field and magnetic induction intensity of the three-dimensional model. Moreover, we have considered the objective function into a weak formulation. The three-dimensional model is then meshed by the finite element method. The electromagnetic-thermal coupling has been numerically computed, and the parametric dependence to the eddy current heating process has been fully studied. Through the numerical simulation with different current densities, frequencies, and distances, the most suitable heat treatment process of U75V rail is obtained.

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Effect of Heat Treatments on the Microstructure, Mechanical, Wear and Corrosion Resistance of Casted Hadfield Steel

et al. 2022

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Development and Application of Cast Steel Numerical Simulation System for Heat Treatment

Cited by 4 publications

References 20 publications

Research on CBR-based intelligent decision-making method for final heat treatment process of new energy heavy truck gear

Research on CBR-based intelligent decision-making method for final heat treatment process of new energy heavy truck gear

Modeling of Eddy Current Welding of Rail: Three-Dimensional Simulation

Effect of Heat Treatments on the Microstructure, Mechanical, Wear and Corrosion Resistance of Casted Hadfield Steel

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