@inproceedings{012de07baf19496986b0bcf27c17ad5e,
title = "Design of High Power Density Spindle Motor Based on Multi-objective Optimization Considering Moment of Inertia",
abstract = "Reducing energy consumption in spindle system has received attention from many researchers because of rising awareness of environment impact in manufacturing process. Moment of inertia is linked closely to energy consumption with motor efficiency and power density. In this paper, we present optimal design of spindle motor based on reducing moment of inertia for saving energy consumption. IPMSM is applied to the spindle motor instead of IM. Multi-objective optimization of IPMSM is conducted. Moment of inertia, power density and cost of energy consumption are objective functions of optimization. PM area is selected as optimization boundary because of high PM cost.",
keywords = "Energy consumption, IPMSM, moment of inertia, multi - objective optimization, spindle motor",
author = "Jang, \{Do Hyun\} and Kang, \{Seung Gu\} and Hwang, \{Young Ho\} and Jung, \{Seok Won\} and Kim, \{Yong Jae\} and Jung, \{Sang Yong\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 20th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2022 ; Conference date: 24-10-2022 Through 26-10-2022",
year = "2022",
doi = "10.1109/CEFC55061.2022.9940738",
language = "English",
series = "CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings",
}
