The induction heating process modelling of the waveguide paths’ flanges

Abstract This study focuses on two major advantages of induction heating over flame heating in the treatment of coated boiler tubes. In both cases the induction heating process is simple, fast and effective. Firstly, we will show how the the use of induction heating results in exceptionally thick and hard coatings with low porosity. Having high corrosion and wear resistant properties, the products can satisfy industry's needs for reliable coatings with a long service life. Next, the study will detail how a pipe with the coating already applied can be simultaneously bent by induction heating while the coating is melted and fused to the pipe. The result is a thicker, more even and reliable coating than that accomplished by the flame sprayed method on a bent pipe. The process is not only less cumbersome, but again provides a superior product for the market.

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The induction heating process of semi-solid aluminium alloys for thixoforming and their microstructure evaluation

Journal of Materials Processing Technology ◽

10.1016/s0924-0136(00)00567-7 ◽

2000 ◽

Vol 105 (1-2) ◽

pp. 176-190 ◽

Cited By ~ 12

Author(s):

H.K Jung

Keyword(s):

Induction Heating ◽

Aluminium Alloys ◽

Heating Process ◽

Microstructure Evaluation ◽

Semi Solid

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

Journal of Ship Production and Design ◽

10.5957/jspd.2012.28.2.73 ◽

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.

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A New Single-Phase Direct Frequency Controller Having Reduced Switching Count without Zero-Crossing Detector for Induction Heating System

Electronics ◽

10.3390/electronics9030430 ◽

2020 ◽

Vol 9 (3) ◽

pp. 430

Author(s):

Naveed Ashraf ◽

Tahir Izhar ◽

Ghulam Abbas ◽

Ahmed Bilal Awan ◽

Ali S. Alghamdi ◽

...

Keyword(s):

Induction Heating ◽

Heating System ◽

Input Voltage ◽

Heating Process ◽

Zero Crossing ◽

Pulse Width Modulated ◽

Controlled Switching ◽

Compact Size ◽

Frequency Magnetic Field ◽

Frequency Controller

Induction heating (IH) is an environmentally friendly solution for heating and melting processes. The required high-frequency magnetic field is accomplished through frequency controllers. Direct frequency controllers (DFC) are preferred to dual converters as they have low conversion losses, compact size, and simple circuit arrangement due to low component count. Numerous frequency controllers with complex switching algorithms are employed in the induction heating process. They have a complicated circuit arrangement, and complex control as their switching sequences have to synchronize with source voltage that requires the zero-crossing detection of the input voltage. They also have a shoot-through problem and poor power quality. Therefore, this research proposes a novel frequency controller with a low count of six controlled switching devices without a zero-crossing detector (ZCD) having a simple control arrangement. The required switching signals are simply generated by using any pulse-width-modulated (PWM) generator. The performance of the proposed topology is verified through simulation results obtained using the MATLAB/Simulink environment and experimental setup.

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Coupled FEM Simulation of Induction Heating Process in the Austenitization of a SUJ2 Steel Ring

Tetsu-to-Hagane ◽

10.2355/tetsutohagane.tetsu-2018-065 ◽

2018 ◽

Vol 104 (11) ◽

pp. 699-707

Author(s):

Hiroshi Yuki

Keyword(s):

Induction Heating ◽

Fem Simulation ◽

Heating Process

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

Mathematical Problems in Engineering ◽

10.1155/2018/8430578 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 1

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.

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