Future Electrical Machines Manufacturing Hub

未来电机制造中心

• 批准号: EP/S018034/1
• 负责人: Geraint Jewell
• 金额: $ 1367.98万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS018034%2F1
• 关键词: Future; Electrical; Machines; Manufacturing; Hub

We are witnessing huge global shifts towards cleaner growth and more resource efficient economies. The drive to lower carbon emissions is resulting in dramatic changes in how we travel and the ways we generate and use energy worldwide. Electrical machines are at the heart of the accelerating trends in the electrification of transport and the increased use of renewable energy such as offshore wind. To address the pressing drivers for clean growth and meet the increasing demands of new applications, new electrical machines with improved performance - higher power density, lower weight, improved reliability - are being designed by researchers and industry. However, there are significant manufacturing challenges to be overcome if UK industry is going to be able to manufacture these new machines with the appropriate cost, flexibility and quality. The Hub's vision is to put UK manufacturing at the forefront of the electrification revolution. The Hub will address key manufacturing challenges in the production of high integrity and high value electrical machines for the aerospace, energy, high value automotive and premium consumer sectors.The Hub will work in partnership with industry to address some common and fundamental barriers limiting manufacturing capability and capacity: the need for in-process support to manual operations in electrical machine manufacture - e.g. coil winding, insertions, electrical connections and wiring - to improve productivity and provide quality assurance; the sensitivity of high value and high integrity machines to small changes in tolerance and the requirement for high precision in manufacturing for safety critical applications; the increasing drive to low batch size, flexibility and customisation; and the need to train the next generation of manufacturing scientists and engineers.The Hub's research programme will explore new and emerging manufacturing processes, new materials for enhanced functionality and/or light-weighting, new approaches for process modelling and simulation, and the application of digital approaches with new sensors and Industrial Internet of Things (IoT) technologies.

我们正在目睹全球向更清洁的增长和更节约资源的经济的巨大转变。降低碳排放的努力正在使我们的旅行方式以及我们在全球范围内生产和使用能源的方式发生巨大变化。电机是运输电气化和增加使用海上风力等可再生能源的加速趋势的核心。为了解决清洁增长的紧迫驱动因素并满足新应用日益增长的需求，研究人员和行业正在设计具有更高性能的新型电机-更高的功率密度，更轻的重量，更高的可靠性。然而，如果英国工业能够以适当的成本，灵活性和质量制造这些新机器，那么制造业将面临重大挑战。该中心的愿景是让英国制造业处于电气化革命的最前沿。该中心将解决为航空航天、能源、高价值汽车和高端消费品行业生产高完整性和高价值电机的关键制造挑战。该中心将与行业合作，解决限制制造能力和产能的一些常见和根本性障碍：需要对电机制造中的手动操作提供过程中支持-例如线圈缠绕、插入、电气连接和布线-以提高生产率并提供质量保证;高价值和高完整性的机器对公差的微小变化的敏感性以及安全关键应用对制造精度的要求;越来越多的驱动器向小批量、灵活性和定制化发展;以及培养下一代制造科学家和工程师的需要。该中心的研究计划将探索新的和新兴的制造工艺，用于增强功能和/或轻量化的新材料，用于过程建模和仿真的新方法，以及具有新传感器和工业物联网（IoT）技术的数字方法的应用。

项目成果

Modelling interdependencies in an electric motor manufacturing process using discrete event simulation

• DOI: 10.1080/17477778.2023.2202338
• 发表时间: 2023-04
• 期刊: Journal of Simulation
• 影响因子: 2.5
• 作者: Izhar Oswaldo Escudero-Ornelas;D. Tiwari;Michael Farnsworth;Ashutosh Tiwari

Design, analysis, and comparison of IPM machines with concentrated and distributed winding for a highperformance traction application

用于高性能牵引应用的具有集中式和分布式绕组的 IPM 机器的设计、分析和比较

• DOI: 10.1049/icp.2022.1089
• 发表时间: 2022
• 作者: Ahmed N

Augmented classification for electrical coil winding defects

• DOI: 10.1007/s00170-022-08671-w
• 发表时间: 2022-01-23
• 期刊: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
• 影响因子: 3.4
• 作者: Farnsworth, Michael;Tiwari, Divya;Tiwari, Ashutosh
• 通讯作者: Tiwari, Ashutosh

A Review of Soft Magnetic Composite Materials and Applications

软磁复合材料及其应用综述

• DOI: 10.1109/icem51905.2022.9910712
• 发表时间: 2022
• 作者: Ahmed N

Implementation of a Flexible and Lightweight Depth-Based Visual Servoing Solution for Feature Detection and Tracing of Large, Spatially-Varying Manufacturing Workpieces

• DOI: 10.3390/robotics11010025
• 发表时间: 2022-02
• 期刊: Robotics
• 影响因子: 3.7
• 作者: Lee Clift;D. Tiwari;C. Scraggs;W. Hutabarat;L. Tinkler;Jonathan M. Aitken;Ashutosh Tiwari