Design and Production Process Optimization for High Performance and Energy Efficiency in Electrical Machines—2nd Edition

Dear Colleagues,

The optimization of the design and production process for electrical machines is essential for achieving their high performance and energy efficiency. In this context, the design process includes the selection of suitable materials, the optimal design of machine components, and a careful consideration of factors such as magnetic losses, thermal management, and electrical insulation. The production process includes the selection of appropriate manufacturing techniques, assembly procedures, and quality control measures. Optimizing these processes can lead to improved performance, reduced energy consumption, and lower production costs. Achieving these goals requires a multidisciplinary approach that includes expertise in electrical engineering, materials science, mechanical engineering, and manufacturing.

This Special Issue aims to present the most recent advances in electromagnetic, thermal, and mechanical design and production processes for the development of high-performance and energy-efficient electrical machines. The specific topics of interest include (but are not limited to) the following:

• Development of advanced materials for improved electrical machine performance and energy efficiency;
• Optimization of electromagnetic design for high-performance and energy-efficient electrical machines;
• Investigations of thermal management strategies for enhancing the efficiency of electrical machines;
• Development of advanced electrical insulation materials and techniques to improve machine performance and reliability;
• Investigations of manufacturing processes for the efficient and cost-effective production of electrical machines;
• Development of design optimization algorithms to improve machine performance and reduce energy consumption;
• Evaluations of the impact of design and production process variations on electrical machine performance and energy efficiency;
• Investigations of the impact of operating conditions on electrical machine performance and energy efficiency;
• Investigations of the impact of new technologies, such as artificial intelligence and machine learning, on the design and production process optimization of electrical machines.

Prof. Dr. Damir Žarko
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.