Quenching Process

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Li Huiping - One of the best experts on this subject based on the ideXlab platform.

  • fem simulation of Quenching Process and experimental verification of simulation results
    Materials Science and Engineering A-structural Materials Properties Microstructure and Processing, 2007
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Huang Chuanzhen
    Abstract:

    This Quenching Process is a high non-linear Process showing the effect on temperature, phase-transformation and stress/strain as they relate to each other. In order to carry out this coupling simulation between temperature, stress and phase-transformation, a method of solving the coupling relationship is presented in this paper, and an FEM software for Quenching is developed. Three different cases are simulated using this software by establishing suitable FEM models. Analytical values of 2-D transient heat transfer problems without latent heat are attained by a separation variable method and Newman multiplication theorem, which are compared with FEM simulation results of temperature. Experimental results of P20 end-Quenching are obtained by metallographic techniques and Rockwell hardness testing, and the results are compared with FEM simulation results of phase-transformation volumes and hardness distribution. Experimental results of stress are attained by X-ray diffraction techniques, and the results are compared with FEM simulation values of stress. The comparisons show that the simulation results of FEM software are consistent with experimental results or analytical values.

  • technologic parameter optimization of gas Quenching Process using response surface method
    Computational Materials Science, 2007
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    Abstract A step function model with time is presented in the paper, and an axisymmetric component is regarded as the study objective in this model. The heat transfer coefficient during the gas Quenching Process is described as a function of time in this model, and five design variables are selected to do the design of Box–Behnken experiment with five factors and three levels. The levels of design variables that attain from the result of Box–Behnken experiment design are regard as the technical parameters of gas Quenching to simulate the gas Quenching Process using the FEM software developed in the paper. Some mathematical models of response surface are gained by the mixed regression method and response surface method. These mathematical models show the dependencies of distortion, surface average equivalent residual stress, standard deviation of equivalent residual stress, average surface hardness and standard deviation of surface hardness with respect to the design variables. The optimization model is presented with the distortion as the optimization objective, and the model is optimized with an upper limit, a lower limit and the constraint function by the non-linear method and the Lagrange multiplier method.

  • inverse heat conduction analysis of Quenching Process using finite element and optimization method
    Finite Elements in Analysis and Design, 2006
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    The calculation of surface heat transfer coefficient during Quenching Process is one of the inverse heat conduction problems, and it is a nonlinear and ill-posed problem. A new method to calculate the temperature-dependent surface heat transfer coefficient during Quenching Process is presented, which applies finite-element method (FEM), advance-retreat method and golden section method to the inverse heat conduction problem, and can calculate the surface heat transfer coefficient according to the temperature curve gained by experiment. In order to apply the advance-retreat method to the inverse heat conduction problem during Quenching Process, the arithmetic is improved, so that the searching interval of optimization can be gained by the improved advance-retreat method. The optimum values of surface heat transfer coefficient can be easily obtained in the searching interval by golden section method. During the calculation Process, the phase-transformation volume and phase-transformation latent heat of every element in every time interval can be calculated easily by FEM. The temperature and phase-transformation volume of every element are calculated with the coupling calculation of phase-transformation latent heat.

Luan Yiguo - One of the best experts on this subject based on the ideXlab platform.

  • technologic parameter optimization of gas Quenching Process using response surface method
    Computational Materials Science, 2007
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    Abstract A step function model with time is presented in the paper, and an axisymmetric component is regarded as the study objective in this model. The heat transfer coefficient during the gas Quenching Process is described as a function of time in this model, and five design variables are selected to do the design of Box–Behnken experiment with five factors and three levels. The levels of design variables that attain from the result of Box–Behnken experiment design are regard as the technical parameters of gas Quenching to simulate the gas Quenching Process using the FEM software developed in the paper. Some mathematical models of response surface are gained by the mixed regression method and response surface method. These mathematical models show the dependencies of distortion, surface average equivalent residual stress, standard deviation of equivalent residual stress, average surface hardness and standard deviation of surface hardness with respect to the design variables. The optimization model is presented with the distortion as the optimization objective, and the model is optimized with an upper limit, a lower limit and the constraint function by the non-linear method and the Lagrange multiplier method.

  • inverse heat conduction analysis of Quenching Process using finite element and optimization method
    Finite Elements in Analysis and Design, 2006
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    The calculation of surface heat transfer coefficient during Quenching Process is one of the inverse heat conduction problems, and it is a nonlinear and ill-posed problem. A new method to calculate the temperature-dependent surface heat transfer coefficient during Quenching Process is presented, which applies finite-element method (FEM), advance-retreat method and golden section method to the inverse heat conduction problem, and can calculate the surface heat transfer coefficient according to the temperature curve gained by experiment. In order to apply the advance-retreat method to the inverse heat conduction problem during Quenching Process, the arithmetic is improved, so that the searching interval of optimization can be gained by the improved advance-retreat method. The optimum values of surface heat transfer coefficient can be easily obtained in the searching interval by golden section method. During the calculation Process, the phase-transformation volume and phase-transformation latent heat of every element in every time interval can be calculated easily by FEM. The temperature and phase-transformation volume of every element are calculated with the coupling calculation of phase-transformation latent heat.

  • inverse heat conduction analysis of Quenching Process based on finite element and optimization method
    Acta Metallurgica Sinica, 2005
    Co-Authors: Luan Yiguo
    Abstract:

    The calculation of surface heat transfer coefficient during Quenching Process is one of the inverse heat conduction problem, and it is a nonlinear and bad-posed problem. A new method to calculate the temperature-dependent surface heat transfer coefficient during Quenching Process is presented, which applies finite element method (FEM), advance-retreat method and golden section method to the inverse heat conduction problem, and can calculate the surface heat transfer coefficient according to the temperature curve gained by experiments. In order to apply the advance-retreat method to inverse heat conduction problem during Quenching Process, the arithmetic is improved, so that the searching interval of optimization can be gained by the improved advance-retreat method. The optimum values of surface heat transfer coefficient can be easily obtained in the searching interval by golden section method. During the calculation Process, the phase-transform volume and phase-transform latent heat of every element in every time interval can be calculated easily by FEM, the temperature and phase-transform volume of every element are calculated with the coupling calculation of phase-transform latent heat.

Zhao Guoqun - One of the best experts on this subject based on the ideXlab platform.

  • fem simulation of Quenching Process and experimental verification of simulation results
    Materials Science and Engineering A-structural Materials Properties Microstructure and Processing, 2007
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Huang Chuanzhen
    Abstract:

    This Quenching Process is a high non-linear Process showing the effect on temperature, phase-transformation and stress/strain as they relate to each other. In order to carry out this coupling simulation between temperature, stress and phase-transformation, a method of solving the coupling relationship is presented in this paper, and an FEM software for Quenching is developed. Three different cases are simulated using this software by establishing suitable FEM models. Analytical values of 2-D transient heat transfer problems without latent heat are attained by a separation variable method and Newman multiplication theorem, which are compared with FEM simulation results of temperature. Experimental results of P20 end-Quenching are obtained by metallographic techniques and Rockwell hardness testing, and the results are compared with FEM simulation results of phase-transformation volumes and hardness distribution. Experimental results of stress are attained by X-ray diffraction techniques, and the results are compared with FEM simulation values of stress. The comparisons show that the simulation results of FEM software are consistent with experimental results or analytical values.

  • technologic parameter optimization of gas Quenching Process using response surface method
    Computational Materials Science, 2007
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    Abstract A step function model with time is presented in the paper, and an axisymmetric component is regarded as the study objective in this model. The heat transfer coefficient during the gas Quenching Process is described as a function of time in this model, and five design variables are selected to do the design of Box–Behnken experiment with five factors and three levels. The levels of design variables that attain from the result of Box–Behnken experiment design are regard as the technical parameters of gas Quenching to simulate the gas Quenching Process using the FEM software developed in the paper. Some mathematical models of response surface are gained by the mixed regression method and response surface method. These mathematical models show the dependencies of distortion, surface average equivalent residual stress, standard deviation of equivalent residual stress, average surface hardness and standard deviation of surface hardness with respect to the design variables. The optimization model is presented with the distortion as the optimization objective, and the model is optimized with an upper limit, a lower limit and the constraint function by the non-linear method and the Lagrange multiplier method.

  • inverse heat conduction analysis of Quenching Process using finite element and optimization method
    Finite Elements in Analysis and Design, 2006
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    The calculation of surface heat transfer coefficient during Quenching Process is one of the inverse heat conduction problems, and it is a nonlinear and ill-posed problem. A new method to calculate the temperature-dependent surface heat transfer coefficient during Quenching Process is presented, which applies finite-element method (FEM), advance-retreat method and golden section method to the inverse heat conduction problem, and can calculate the surface heat transfer coefficient according to the temperature curve gained by experiment. In order to apply the advance-retreat method to the inverse heat conduction problem during Quenching Process, the arithmetic is improved, so that the searching interval of optimization can be gained by the improved advance-retreat method. The optimum values of surface heat transfer coefficient can be easily obtained in the searching interval by golden section method. During the calculation Process, the phase-transformation volume and phase-transformation latent heat of every element in every time interval can be calculated easily by FEM. The temperature and phase-transformation volume of every element are calculated with the coupling calculation of phase-transformation latent heat.

Niu Shanting - One of the best experts on this subject based on the ideXlab platform.

  • fem simulation of Quenching Process and experimental verification of simulation results
    Materials Science and Engineering A-structural Materials Properties Microstructure and Processing, 2007
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Huang Chuanzhen
    Abstract:

    This Quenching Process is a high non-linear Process showing the effect on temperature, phase-transformation and stress/strain as they relate to each other. In order to carry out this coupling simulation between temperature, stress and phase-transformation, a method of solving the coupling relationship is presented in this paper, and an FEM software for Quenching is developed. Three different cases are simulated using this software by establishing suitable FEM models. Analytical values of 2-D transient heat transfer problems without latent heat are attained by a separation variable method and Newman multiplication theorem, which are compared with FEM simulation results of temperature. Experimental results of P20 end-Quenching are obtained by metallographic techniques and Rockwell hardness testing, and the results are compared with FEM simulation results of phase-transformation volumes and hardness distribution. Experimental results of stress are attained by X-ray diffraction techniques, and the results are compared with FEM simulation values of stress. The comparisons show that the simulation results of FEM software are consistent with experimental results or analytical values.

  • technologic parameter optimization of gas Quenching Process using response surface method
    Computational Materials Science, 2007
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    Abstract A step function model with time is presented in the paper, and an axisymmetric component is regarded as the study objective in this model. The heat transfer coefficient during the gas Quenching Process is described as a function of time in this model, and five design variables are selected to do the design of Box–Behnken experiment with five factors and three levels. The levels of design variables that attain from the result of Box–Behnken experiment design are regard as the technical parameters of gas Quenching to simulate the gas Quenching Process using the FEM software developed in the paper. Some mathematical models of response surface are gained by the mixed regression method and response surface method. These mathematical models show the dependencies of distortion, surface average equivalent residual stress, standard deviation of equivalent residual stress, average surface hardness and standard deviation of surface hardness with respect to the design variables. The optimization model is presented with the distortion as the optimization objective, and the model is optimized with an upper limit, a lower limit and the constraint function by the non-linear method and the Lagrange multiplier method.

  • inverse heat conduction analysis of Quenching Process using finite element and optimization method
    Finite Elements in Analysis and Design, 2006
    Co-Authors: Li Huiping, Zhao Guoqun, Niu Shanting, Luan Yiguo
    Abstract:

    The calculation of surface heat transfer coefficient during Quenching Process is one of the inverse heat conduction problems, and it is a nonlinear and ill-posed problem. A new method to calculate the temperature-dependent surface heat transfer coefficient during Quenching Process is presented, which applies finite-element method (FEM), advance-retreat method and golden section method to the inverse heat conduction problem, and can calculate the surface heat transfer coefficient according to the temperature curve gained by experiment. In order to apply the advance-retreat method to the inverse heat conduction problem during Quenching Process, the arithmetic is improved, so that the searching interval of optimization can be gained by the improved advance-retreat method. The optimum values of surface heat transfer coefficient can be easily obtained in the searching interval by golden section method. During the calculation Process, the phase-transformation volume and phase-transformation latent heat of every element in every time interval can be calculated easily by FEM. The temperature and phase-transformation volume of every element are calculated with the coupling calculation of phase-transformation latent heat.

Haitao Long - One of the best experts on this subject based on the ideXlab platform.

  • Numerical simulation of detonation wave propagation and Quenching Process in in-line crimped-ribbon flame arrester
    Cogent engineering, 2018
    Co-Authors: Shaochen Sun, Yuan Shu, Yu Feng, Dachao Sun, Haitao Long
    Abstract:

    A new numerical model for simulating the propagation and Quenching of a detonation wave in in-line flame arrester was developed by using FORTRAN language. Accordingly, this study analysed the initi...

  • Numerical simulation of detonation wave propagation and Quenching Process in in-line crimped-ribbon flame arrester
    'Informa UK Limited', 2018
    Co-Authors: Shaochen Sun, Yuan Shu, Yu Feng, Dachao Sun, Haitao Long
    Abstract:

    A new numerical model for simulating the propagation and Quenching of a detonation wave in in-line flame arrester was developed by using FORTRAN language. Accordingly, this study analysed the initiating Process, Quenching rule of a detonation wave in an arrester element and effect of arrester structural parameters on the propagation Process of a detonation wave. Results showed that the Quenching length of detonation wave increases with porosity, and the two parameters present a quadratic function relationship. Quenching length minimally varied with the increase in arrester thickness. The detonation wave collided with the element wall whilst porosity decreased when detonation wave propagated in the arrester element. Consequently, a pressure peak drop of the detonation wave was observed. As arrester thickness increased, the pressure peak of the detonation wave in the arrester element and the value of temperature on the position where the transmitted shock wave lies decreased, thereby cause a strong inhibition to the detonation wave. Simulation result showed that detonation pressure decreased progressively as porosity increased, and the two parameters exhibited a quadratic function relationship. By contrast, detonation pressure increased progressively as arrester thickness grew, and the two parameters presented a quadratic function relationship

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