Optimal Control of Induction Heating Processes

Rapoport, É. Ya.; Pleshivtseva, Yu. E.

doi:10.1201/9781420019490

Cited by 94 publications

(47 citation statements)

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“…By imposing the alternative current to the coils, eddy current can be generated in the vicinity of the inductive asphalt mortar. It should be noted that the geometry of the induction coil has significant impact on the induction heating efficiency [29,30]. For this reason, the higher order tetrahedral elements were utilized to model the coil and the entire induction system, Fig.…”

Section: Finite Element Models and Parametersmentioning

confidence: 99%

Advanced evaluation of asphalt mortar for induction healing purposes

Apostolidis

Liu

Scarpas

et al. 2016

Construction and Building Materials

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h i g h l i g h t sApplication of advanced tools enables the implementation of induction technology for healing in asphalt mixes. Induction heating and healing potential of asphalt mortar using different inductive particles types is studied. An optimization framework for the design of induction healed asphalt mortars is proposed. The increase of inductive particles contributes to the electro-thermo-mechanical performance improvement and the healing potential of asphalt mixes. a b s t r a c tInduction heating technique is an innovative asphalt pavement maintenance method that is applied to inductive asphalt concrete mixes in order to prevent the formation of macro-cracks by increasing locally the temperature of asphalt. The development of asphalt mixes with improved electrical and thermal properties is crucial in terms of producing induction healed mixes. This paper studies the induction healing capacity of asphalt mixes without aggregates as the part of asphalt concrete where inductive particles are dispersed notably contributing to the final response of asphalt pavements. Special attention was given to the characterization of inductive asphalt mixes using experimental techniques and numerical methods. The research reported in this paper is divided into two parts. In the first part, the impact of iron powder as filler-sized inductive particle on the rheological performance of asphalt-filler systems was studied. The mechanical response, the induction heating and healing capacity of asphalt mortar by adding iron powder and steel fibers was evaluated as well. In the second part, the utilization of advanced finiteelement analyses for the assessment of the induction heating potential of inductive asphalt mortar with steel fibers are presented. The influential factors of induction mechanism in asphalt mixes are also described. The experimental and numerical findings of this research provided an optimization method for the design of induction healed asphalt concrete mixes and the development of necessary equipment that will enable the implementation of induction technology for healing of asphalt concrete mixes.

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Section: Finite Element Models and Parametersmentioning

confidence: 99%

Advanced evaluation of asphalt mortar for induction healing purposes

Apostolidis

Liu

Scarpas

et al. 2016

Construction and Building Materials

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“…It is to be noted that the surface temperature of 4 mm wire is lower than the 8 mm wire under the same operating condition. This is due to the fact that the space between the coils and workpiece plays a significant role and there has to be some optimum spacing between the coils and the furnace for proper heating [26]. Power is dissipated only on the skin depth (3 skin depths) so for wire of radius 8 mm the power is dissipated in the cross section area of 80 mm 2 , but for 4 mm radius in the area of 35 mm 2 .…”

Section: Temperature Profile For 4 MM and 8 Mm Wirementioning

confidence: 99%

Electromagnetic‐Thermal Modeling of Induction Heating of Moving Wire

Jain

2015

Heat Trans. Asian Res.

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The strength in a high carbon wire is attributed to the pearlitic microstructure, which is required for ease of wire drawing. During cold drawing of high carbon steel wires, residual stress develops which has to be relieved in order to obtain the desired mechanical properties. To achieve this, the wire is passed through a closed loop online an induction furnace at a particular speed in order to heat it to a uniform temperature range. This research work presents the electromagnetic‐thermal modeling of the induction heating of a moving wire based on the finite element method using the software package, COMSOL MultiphysicsTM. The furnace had a complicated geometry for the coils and this is, perhaps, for the first time an exhaustive study which is being reported. A unique grid generation technique was developed considering the skin effect. This work is aimed at enabling modeling of the process and will in turn be useful when defining individual parameters affecting the temperature distribution in a component, subjected to induction heating. The temperature distribution in the work piece depends primarily on parameters like coil position, line speed, frequency of the current, thermal and magnetic properties of the work piece, and so on. The impact of power supply frequency and line speed were studied during the heating of the moving wire (workpiece). An in‐situ customized furnace of lower capacity was developed to carry out the validation experiments. The present modeling results are validated with online plant trial data and found to be in good agreement. Finally, the desired mechanical property achieved during trials was confirmed through tensile testing.

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“…In the most typical and simplest case, the desired temperature distribution at the end of heating process can be accepted as uniform, i.e., * ( ) const T x = (Rapoport, 2007). In the most typical and simplest case, the desired temperature distribution at the end of heating process can be accepted as uniform, i.e., * ( ) const T x = (Rapoport, 2007).…”

Section: Figure 1 Process Of Induction Heating Of Cylindrical Billetsmentioning

confidence: 99%

“…The analytical solution of equations (11)-(13) is well known and can be found, e.g., in Rapoport and Pleshivtseva (2007) in the form that has been used in considered investigations.…”

Section: Benchmark Mathematical Model Of the Induction Heating Processmentioning

confidence: 99%

Multi-objective optimisation of induction heating processes: methods of the problem solution and examples based on benchmark model

Barba

Pleshivtseva

Rapoport

et al. 2013

IJMMP

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The main goal of the researches is the development of new approaches, algorithms and numerical techniques for multi-objective optimisation of design of industrial induction heating installations. A multi-objective optimisation problem is mathematically formulated in terms of the typical optimisation criteria, e.g., maximum heating accuracy and minimum energy consumption. Various mathematical methods and algorithms for multi-objective optimisation, such as Non-dominated Sorting Genetic Algorithm (NSGA-II) and optimal control alternance method, have been implemented and integrated in a user-friendly automated optimal design package. Several optimisation procedures have been tested and investigated for a problem-oriented mathematical model in a number of comparative case studies. A general comparison of the design solutions based on NSGA-II and alternance method leads to their good agreement in all investigated cases. The methodology developed is planned to be applied to more complex real-life problems of the optimal design and control of different induction heating systems

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Optimal Control of Induction Heating Processes

Cited by 94 publications

References 0 publications

Advanced evaluation of asphalt mortar for induction healing purposes

Advanced evaluation of asphalt mortar for induction healing purposes

Electromagnetic‐Thermal Modeling of Induction Heating of Moving Wire

Multi-objective optimisation of induction heating processes: methods of the problem solution and examples based on benchmark model

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