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Propagation of uncertainties across electromagnetic models

电磁模型中不确定性的传播

基本信息

批准号：
323896285
负责人：
Professor Dr.-Ing. Kay Hameyer
金额：
--
依托单位：
Institut für Elektrische Maschinen (IEM)
依托单位国家：
德国
项目类别：
Research Grants (Transfer Project)
财政年份：
2017
资助国家：
德国
起止时间：
2016-12-31 至 2021-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/323896285?language=en
关键词：
Propagation uncertainties across electromagnetic models

项目摘要

During the production of electrical machines, the used materials and their properties deviate as a result of the production process. The consideration of these effects is usually performed by worst-case estimates and Monte-Carlo simulations. In order to increase the accuracy and reduce the computational effort of said estimates, the hereby proposed project targets at the transfer of results of the preciding project "Propagation of uncertainties across electromagnetic models". Starting with a finite element analysis of a numerical model of the electrical machine, a meta-model will be designed. This meta-model will be used for the investigation of the influence of material property deviations on the characteristics of the machine. A Failure Mode and Effects Analysis (FMEA) will be performed to estimate the degree of the deviations. With the knowledge of these deviations, the mechanical transfer function and the acoustical characteristics will be transformed into a time domain machine model. Subsequently, a sensitivity analysis of the input parameters allows the design of the meta-model. The meta-model transforms the time domain model with high costs with respect to computation time into a polynomial surface area response with lower costs. Based on the results of the meta-model, suggestions for an optimized machine design will be derived. This includes suggestions regarding the optimization for constant boundary conditions, for robust design, for the increase of reliability as well as suggestions for tolerance allocation. The project partner WILO SE supports the project with their experience in the development of electrical machines in small and big quantities. The design and development of the electrical machines to be investigated in this project will also be part of WILO SE contribution. The machines provided by the partner will be analyzed by measurements in order to investigate their characteristics. The suggestions for optimized machine designs will refer to those reference machine designs.

在电机的生产过程中，所使用的材料及其特性会因生产过程而发生偏差。通常通过最坏情况估计和蒙特-卡罗模拟来考虑这些影响。为了提高准确性并减少所述估计的计算工作量，特此提出的项目旨在转移先前项目“电磁模型中不确定性的传播”的结果。从电机的数值模型的有限元分析开始，将设计元模型。该元模型将用于调查材料特性偏差对机器特性的影响。将进行失效模式和效应分析（FMEA），以估计偏离程度。在了解这些偏差的情况下，机械传递函数和声学特性将被转换为时域机器模型。随后，对输入参数的敏感性分析允许设计元模型。元模型将相对于计算时间具有高成本的时域模型转换成具有较低成本的多项式表面积响应。基于元模型的结果，将得出优化机器设计的建议。这包括关于恒定边界条件的优化、稳健设计、可靠性的增加以及公差分配的建议。项目合作伙伴WILO SE凭借其在小批量和大批量电机开发方面的经验为该项目提供支持。该项目中所研究的电机的设计和开发也将是WILO SE贡献的一部分。合作伙伴提供的机器将通过测量进行分析，以研究其特性。优化机器设计的建议将参考这些参考机器设计。