Analysis and Optimal Design Method for Electric Machine and Devices
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: closed (10 October 2020) | Viewed by 15775
Special Issue Editor
Interests: electric energy application; next-generation electric machine using smart materials (electromagnetism, piezoelectricity, etc.); optimization algorithm; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to seek high-quality articles on the following topics:
- An effective analysis and design method is useful to reduce the development time and cost of electric machine and device. Hence, we call for excellent manuscripts on research toward an effective analysis and optimal design method for electric machines and devices using a numerical method or an analytic method to significantly reduce time and cost for the development of diverse kinds of machines.
- The optimal design for the reduction of the development time and cost of a machine includes finding the optimal point of the objective function. However, the objective function is an unknown black box problem, and it is important to find the reliable optimal point efficiently. Hence, we invite you to submit high-quality manuscripts on the development of a novel optimization algorithm or an optimal design method using the optimization algorithm to enhance the efficiency and reliability of optimization of electric machines and devices.
Prof. Dr. Jong-Suk Ro
Guest Editor
Manuscript Submission Information
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Keywords
- Analysis and design method
- Electric machine and device (actuator, motor, generator, transformer, others)
- Material modeling (composite materials, hysteresis and anisotropy, magnetostrictive materials, permanent magnets, piezoelectric materials, shape memory alloy, superconducting materials, thermoelectric materials, others)
- Mathematical modeling and formulations
- Multiphysics and coupled problems (electromagnetic field problems, fluid problems, mechanical problems, thermal problems, others)
- Numerical techniques
- Optimization algorithm (deterministic algorithm, hybrid algorithm, special optimization algorithm, stochastic algorithm, others)
- Optimization and design
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