Optimization of Induction Heating Regarding Typical Quality Criteria: Problem Solution Based on 2D FEM Analysis

Author:

Pleshivtseva Yuliya1,Nacke Bernard2,Popov Anton1

Affiliation:

1. Samara State Technical University

2. Leibniz University of Hannover

Abstract

One of the most widespread methods of heating is induction mass heating because it offers certain advantages over similar technologies, including convectional and electrical heating. A significant economical effect can be achieved through optimization of heating modes and design parameters of induction heaters on the basis of modern optimal control theory for distributed parameters systems. The paper is devoted to the numerical simulation and optimal with respect to typical quality criteria control of thermal modes for metals induction heating before hot forming operations. Two-dimensional non-linear time-optimal control problem, problem of maximum heating accuracy and problem of minimum energy consumption are formulated and reduced to the mathematical programming problems. Optimization procedures are based on the developed at SamSTU alternance method of optimal control theory for distributed parameters systems. 2D FLUX code provides FEM analysis of interrelated electromagnetic and temperature fields during induction heating of a cylindrical billet before its hot forming. The model integrated into optimization procedures provides options for variation of the heating system parameters or billet geometry, and for evaluating the process optimization abilities. Computational results for optimal heating of aluminum cylindrical billets are shown and analyzed.

Publisher

Trans Tech Publications, Ltd.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Numerical simulation of the induction heating process of a disk profile;IOP Conference Series: Materials Science and Engineering;2019-11-01

2. Design concepts of induction mass heating technology based on multiple-criteria optimization;COMPEL - The international journal for computation and mathematics in electrical and electronic engineering;2017-03-06

3. MATLAB-FLUX Coupling for numerical modeling in education;SHS Web of Conferences;2016

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