Details
| Original language | English |
|---|---|
| Pages (from-to) | 73-80 |
| Number of pages | 8 |
| Journal | COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering |
| Volume | 39 |
| Issue number | 1 |
| Publication status | Published - 29 Nov 2019 |
Abstract
Purpose: The transverse flux heating (TFH) concept offers very high electrical efficiency in combination with unique technological flexibility. Numerous advantages make this method beyond competition to be applied in e.g. processing lines. However, all potential advantages of TFH can be realized in practice only by optimal design of the inductor shape using numerical modelling and optimization techniques. This paper aims to describe a hierarchical approach to the optimal design of a one-sided induction coil, which will be used for one-sided TFH of continuous moving thin metal strip to achieve a homogeneous temperature distribution along the strip width. Design/methodology/approach: Depending on the design step, 2D or 3D FEM simulations using ANSYS® Mechanical including the electromagnetics package are used. The harmonic electromagnetic solution is coupled to a transient thermal model which takes the strip movement into account. All models use the symmetries of the inductor workpiece arrangement to keep the calculation times as low as possible. Findings: Due to the geometry of a TFH coil, the models can image a quarter or half of the arrangement. Preliminary investigations of different inductor head shapes can be carried out quickly and then further improved on more complex models in combination with the use of optimization algorithms. Practical implications: Using hierarchical structure for designing a one-sided TFH coil, offers an efficient and quick way to create a coil which is adapted to the application. Originality/value: The one-sided inductor design is considered, and the results are generally valid.
Keywords
- Finite element method, Genetic algorithm, Induction heating, Numerical simulation, Optimal design, Shape optimization, Successive optimization approach, Thin metal strip, Transverse flux heating
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computational Theory and Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
- Mathematics(all)
- Applied Mathematics
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In: COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 39, No. 1, 29.11.2019, p. 73-80.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Hierarchical shape optimization of one-sided transverse flux heating induction coil
AU - Schulze, Martin
AU - Nikanorov, Alexander
AU - Nacke, Bernard
N1 - Publisher Copyright: © 2019, Emerald Publishing Limited.
PY - 2019/11/29
Y1 - 2019/11/29
N2 - Purpose: The transverse flux heating (TFH) concept offers very high electrical efficiency in combination with unique technological flexibility. Numerous advantages make this method beyond competition to be applied in e.g. processing lines. However, all potential advantages of TFH can be realized in practice only by optimal design of the inductor shape using numerical modelling and optimization techniques. This paper aims to describe a hierarchical approach to the optimal design of a one-sided induction coil, which will be used for one-sided TFH of continuous moving thin metal strip to achieve a homogeneous temperature distribution along the strip width. Design/methodology/approach: Depending on the design step, 2D or 3D FEM simulations using ANSYS® Mechanical including the electromagnetics package are used. The harmonic electromagnetic solution is coupled to a transient thermal model which takes the strip movement into account. All models use the symmetries of the inductor workpiece arrangement to keep the calculation times as low as possible. Findings: Due to the geometry of a TFH coil, the models can image a quarter or half of the arrangement. Preliminary investigations of different inductor head shapes can be carried out quickly and then further improved on more complex models in combination with the use of optimization algorithms. Practical implications: Using hierarchical structure for designing a one-sided TFH coil, offers an efficient and quick way to create a coil which is adapted to the application. Originality/value: The one-sided inductor design is considered, and the results are generally valid.
AB - Purpose: The transverse flux heating (TFH) concept offers very high electrical efficiency in combination with unique technological flexibility. Numerous advantages make this method beyond competition to be applied in e.g. processing lines. However, all potential advantages of TFH can be realized in practice only by optimal design of the inductor shape using numerical modelling and optimization techniques. This paper aims to describe a hierarchical approach to the optimal design of a one-sided induction coil, which will be used for one-sided TFH of continuous moving thin metal strip to achieve a homogeneous temperature distribution along the strip width. Design/methodology/approach: Depending on the design step, 2D or 3D FEM simulations using ANSYS® Mechanical including the electromagnetics package are used. The harmonic electromagnetic solution is coupled to a transient thermal model which takes the strip movement into account. All models use the symmetries of the inductor workpiece arrangement to keep the calculation times as low as possible. Findings: Due to the geometry of a TFH coil, the models can image a quarter or half of the arrangement. Preliminary investigations of different inductor head shapes can be carried out quickly and then further improved on more complex models in combination with the use of optimization algorithms. Practical implications: Using hierarchical structure for designing a one-sided TFH coil, offers an efficient and quick way to create a coil which is adapted to the application. Originality/value: The one-sided inductor design is considered, and the results are generally valid.
KW - Finite element method
KW - Genetic algorithm
KW - Induction heating
KW - Numerical simulation
KW - Optimal design
KW - Shape optimization
KW - Successive optimization approach
KW - Thin metal strip
KW - Transverse flux heating
UR - http://www.scopus.com/inward/record.url?scp=85076174936&partnerID=8YFLogxK
U2 - 10.1108/COMPEL-05-2019-0214
DO - 10.1108/COMPEL-05-2019-0214
M3 - Article
AN - SCOPUS:85076174936
VL - 39
SP - 73
EP - 80
JO - COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
JF - COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
SN - 0332-1649
IS - 1
ER -