Numerical Simulation on Induction Heating Process for Crankshaft Shrink Fitting

2012 ◽  
Vol 215-216 ◽  
pp. 1111-1117
Author(s):  
Qing Lei Zhang ◽  
Bai Yu Zhao ◽  
Jing Kuan Guo
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Induction Heating ◽  
Heating Process ◽  
Technological Parameters ◽  
Effect Factors ◽  
Large Size ◽  
Heating Device ◽  
Shrink Fitting ◽  
Frequency Current

Based on induction heating theory, a finite elementmodel for electromagnetic-temperature field has been developed. The simulation of induction heating process in large size crankshaft shrink fitting is carried out by using FEA software ANSYS. With temperature and deformation distribution being calculated, the characteristics and effect factors in the induction heating process are also analyzed. In conclusion, the optimized crankshaft heating techonology could be estabished by adjusting technological parameters of the heating device. Specifically, frequency, current, heating position, etc.

The Numerical Analysis of Temperature Field During Moveable Induction Heating of Steel Plate

2012 ◽  
Vol 28 (02) ◽  
pp. 73-81
Author(s):  
Xue-biao Zhang ◽  
Yu-long Yang ◽  
Yu-jun Liu
Keyword(s):  
Temperature Field ◽  
Steady State ◽  
Numerical Model ◽  
Induction Heating ◽  
Temperature Difference ◽  
Steel Plate ◽  
Heating Process ◽  
Quasi Steady State ◽  
Initial State ◽  
Plate Temperature

In shipyards, hull curved plate formation is an important stage with respect to productivity and accuracy control of curved plates. Because the power and its distribution of induction heat source are easier to control and reproduce, induction heating is expected to be applied in the line heating process. This paper studies the moveable induction heating process of steel plate and develops a numerical model of electromagneticthermal coupling analysis and the numerical results consistent with the experimental results. The numerical model is used to analyze the temperature changing rules and the influences on plate temperature field of heating speed of moveable induction heating of steel plate, and the following conclusions are drawn. First, the process of moveable induction heating of steel plate can be divided into three phases of initial state, quasi-steady state, and end state. The temperature difference between the top and bottom surfaces of the steel plate at the initial state is the biggest; it remains unchanged at the quasi-steady state and it is the smallest at the end state. Second, obvious end effect occurs when the edges of the steel plate are heated by the inductor, which causes a decrease in temperature difference between the top and bottom surfaces of the steel plate that is unfavorable for formation of pillow shape plates. Third, with the increase of heating speed, the temperature difference between the top and bottom surfaces of the steel plate increases gradually.

scholarly journals Parameter Optimization and Prediction Model of Induction Heating for Large-Diameter Pipe

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Xiurong Fang ◽  
Jia Lu ◽  
Junfeng Wang ◽  
Jinhui Yang
Keyword(s):  
Prediction Model ◽  
Induction Heating ◽  
Process Parameters ◽  
Pipeline Steel ◽  
Large Diameter ◽  
Outer Wall ◽  
Design Parameters ◽  
Heating Process ◽  
Influence Of Process Parameters ◽  
Heating Device

The parameters of induction heating of large-diameter pipes have a direct effect on the final processing quality of the elbow, and the complexity of multifield coupling of magnetothermal force in induction heating can make it impossible to quantitatively optimize the design parameters of the induction heating device. In this paper, X80 pipeline steel induction heating is taken as the research object, and a corresponding numerical model is established. The influence of induction heating process parameters on the heating temperature of pipeline steel under the skin effect is determined. First, the influence of process parameters on the heating effect of pipeline steel is quantified by orthogonal test. Then, taking the optimum temperature difference between the inner and outer wall of X80 pipeline steel during the induction heating process as a target, the optimal process parameter set of the pipe induction heating is determined by using neural network genetic algorithm. Finally, comparing the relevant test criteria of the regression equation, the optimum mathematical prediction model of the outer wall temperature of the pipe induction heating process is obtained, which provides a theoretical basis for optimization of the process parameters of the pipe-based induction heating device.

scholarly journals Simulation study on modified coil configuration used for shrink fitting of semi-built-up crankshaft and parameters influencing the thermal distribution

2020 ◽  
Vol 103 (4) ◽  
pp. 003685042096785
Author(s):  
Jianguo Duan ◽  
Qinglei Zhang ◽  
Xintao Long ◽  
Kebin Zhang
Keyword(s):  
Temperature Distribution ◽  
Induction Heating ◽  
Three Dimensional ◽  
Element Model ◽  
Heating Process ◽  
Current Frequency ◽  
Dimensional Finite Element ◽  
Shrink Fitting ◽  
Three Dimensional Finite Element

Semi-built-up crankshafts are universally manufactured by shrink-fitting process with induction heating device. The configurations of induction coil have a great impact on the distributions of eddy current and temperature of crankthrows. Most induction devices are apt to cause some undesirable phenomena such as uneven temperature distribution and irregular deformation after induction heating. This article proposes a modified configuration of induction heating coil according to the crankthrow geometry. By combining the heat conduction equation and the heat boundary conditions, a three-dimensional finite element model, which takes into account the nonlinearity of the material’s electromagnetic and thermal physical properties in the heating process, was developed. The influence of several parameters, such as position and curvature of the arc coil, the current frequency and density, coaxiality of crankweb hole and coil, influencing the temperature distribution inside the crankthrow was also analyzed. The comparison with the numerical simulation results of the original configuration indicates that the modified configuration has better adaptability to the crankthrow. Also, it can help to improve the temperature distribution, and reduce the deformation of the shrink-fitting hole. This exploration provide an effective way for the enterprise to further enhance the shrink-fitting quality of crankshaft.

scholarly journals Two-channel time-optimal control of induction heating process with maximum temperature constraint

2020 ◽  
Vol 28 (2) ◽  
pp. 41-58
Author(s):  
Natalya A. Il`ina
Keyword(s):  
Optimal Control ◽  
Temperature Field ◽  
Temperature Distribution ◽  
Induction Heating ◽  
Time Optimal Control ◽  
Maximum Temperature ◽  
Heating Process ◽  
Problem Of Time ◽  
Control Actions ◽  
Time Optimal

The formulation and method of solution of the problem of time-optimal control of induction heating process of an unlimited plate with two control actions on the value of internal heat sources with technological constraint in relation to a one-dimensional model of the temperature field are proposed. The problem is solved under the conditions of a given accuracy of uniform approximation of the final temperature distribution over the thickness of the plate to the required. The method of finite integral transformations is used to search for the input-output characteristics of an object with distributed parameters with two control actions. The preliminary parameterization of control actions based on analytical optimality conditions in the form of the Pontryagin maximum principle is used. At the next stage reduction is performed to the problem of semi-infinite optimization, the solution of which is found using the alternance method. The alternance properties of the final resulting temperature state at the end of the optimal process lead to a basic system of relations, which, if there is additional information about the shape of the temperature distribution curve, is reduced to a system of equations that can be solved. An example of solving the problem of time-optimal control of temperature field of an unlimited plate with two offices is carried out in two stages. At first stage the case of induction heating without maximum temperature constraints is considered, at the second stage is carried out on the basis of the results of the first stage to obtain the solution subject to the limitation on the maximum temperature of the heated billet.

Study on Three Dimensional Direct Coupling Simulation of Induction Heating for Hot Stamping

2014 ◽  
Vol 1063 ◽  
pp. 280-289
Author(s):  
Yong Li ◽  
Xiong Liang ◽  
Zhao Dong Wang ◽  
Jia Dong Li ◽  
Tian Liang Fu
Keyword(s):  
Induction Heating ◽  
Hot Stamping ◽  
Three Dimensional ◽  
Sheet Thickness ◽  
High Energy ◽  
Heating Time ◽  
Direct Coupling ◽  
Heating Process ◽  
High Energy Consumption ◽  
Frequency Current

As to the conventional hot stamping furnance’s shortcomings of long heating time, easy oxidized, high energy consumption, the application of induction heating for hot stamping were studied. By using COMSOL Multiphysics software, we calculated the electromagnetic induction field and temperature field by use of the direct coupling (Direct Coupling Method) in the heating process of hot forming sheet and studied the influence of inductor device parameters (such as induction length, distance between inductor and sheet etc.) and various process parameters (such as the power supply frequency, current density, sheet thickness etc.) on heating rate and temperature distribution. That will have a good guidance on the application of induction heating to hot stamping field.

Numerical Simulation of Temperature Field in Barrel of Injection Molding Machine during Induction Heating Process Based on ANSYS Software

2009 ◽  
Vol 87-88 ◽  
pp. 16-21 ◽  
Author(s):  
Shi Jia Chang ◽  
Peng Cheng Xie ◽  
Xue Tao He ◽  
Wei Min Yang
Keyword(s):  
Electromagnetic Field ◽  
Temperature Field ◽  
Injection Molding ◽  
Induction Heating ◽  
Heating Process ◽  
Magnetic Vector Potential ◽  
Ansys Software ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Field Problem

A finite element model of temperature field coupled with electromagnetic field has been established based on induction heating theory including Maxwell’s equations, thermal conductivity differential equation and magnetic vector potential to simulate the induction heating process of barrel of injection molding machine by universal ANSYS software, and to obtain temperature field of the barrel related to time variation. The coupled thermal and electromagnetic field problem taking account of nonlinear materials characteristics related to temperature was discussed. The induction heating process of barrel was analyzed, and the temperature distribution and its variation with time were obtained.

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