PM YASA BLDC Moto Design using ANSYS MAXWELL 3D (FEM/FEA)

所在平台: Udemy

课程主页: https://www.udemy.com/course/pm-yasa-bldc-moto-design-using-ansys-maxwell-3d-femfea/

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课程名称:PM YASA BLDC马达设计使用ANSYS MAXWELL 3D (FEM/FEA) 课程概述:本课程旨在为电机设计领域的工程师、研究人员和学生提供指导,重点关注有限元分析(FEA)在轴向气流无芯永磁发电机(AFPMG)和YASA电机中的应用。课程将全面介绍电磁仿真工作流程,涵盖诸如3D几何建模、材料和边界条件设置、网格划分技术、运动和激励配置以及动态性能分析等基本课题。 通过使用ANSYS Maxwell或类似的FEA软件,参与者将获得分析磁场分布、反电动势、扭矩特性、效率和损耗的实践经验。此外,课程还将探讨设计优化策略,以提高电机性能,确保在电动汽车推进、可再生能源系统和工业自动化中的实际应用。 本课程将理论基础与实际应用相结合,特别适合于电机设计、电气工程和可持续能源发展领域的专业人士。无论您是希望建立专业知识的学生,还是寻求先进仿真技术的工程师,本课程将为您提供执行准确FEA仿真和提高电机性能所需的技能。 课程结束时,学习者将掌握电磁仿真和优化技术,为在电动马达研究与创新领域作出有效贡献奠定基础。

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This course is designed for engineers, researchers, and students involved in electric machine design, focusing on the application of Finite Element Analysis (FEA) in Axial Flux Coreless Permanent Magnet Generators (AFPMG) and YASA motors. It provides a comprehensive understanding of the electromagnetic simulation workflow, covering essential topics such as 3D geometry modeling, material and boundary condition setup, meshing techniques, motion and excitation configuration, and dynamic performance analysis.Using ANSYS Maxwell or similar FEA software, participants will gain hands-on experience in analyzing magnetic field distribution, back EMF, torque characteristics, efficiency, and losses. Additionally, the course covers design optimization strategies to improve motor performance, ensuring practical applications in electric vehicle propulsion, renewable energy systems, and industrial automation.By integrating theoretical foundations with real-world applications, this course is ideal for professionals in motor design, electrical engineering, and sustainable energy development. Whether you are a student looking to build expertise or an engineer seeking advanced simulation techniques, this course will provide you with the necessary skills to perform accurate FEA simulations and enhance electric machine performance.By the end of the course, learners will have acquired proficiency in electromagnetic simulation and optimization techniques, empowering them to contribute effectively to cutting-edge electric motor research and innovation.

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