{"title":"氮化电工钢焊接环形芯层的损耗参数识别","authors":"David Ukwungwu, Kay Hameyer","doi":"10.1002/jnm.3234","DOIUrl":null,"url":null,"abstract":"<p>Lamination packaging processes such as welding lead to a significant material degradation of non-oriented (NO) electrical steel sheets. Increase in iron loss and decrease in permeability are the results of the deterioration. For an efficient modeling of a drive train, the accurate parameterization of the iron loss is of upmost importance. For this reason, the iron loss model is expanded to include the influences of welding procedure. Its influence can be classified into changes in the grain size diameter <span></span><math>\n <semantics>\n <mrow>\n <mfenced>\n <msub>\n <mi>d</mi>\n <mi>G</mi>\n </msub>\n </mfenced>\n </mrow>\n <annotation>$$ \\left({d}_{\\mathrm{G}}\\right) $$</annotation>\n </semantics></math> and residual stresses <span></span><math>\n <semantics>\n <mrow>\n <mfenced>\n <mi>σ</mi>\n </mfenced>\n </mrow>\n <annotation>$$ \\left(\\sigma \\right) $$</annotation>\n </semantics></math>. In this study, a locally varying iron loss model for the simulation of effects of weld-packaging on the electromagnetic properties of non-oriented (NO) electrical steel sheets is presented. Packaging technologies such as interlocking, welding, clinching and gluing are typically utilized for the manufacturing of electric steel stacks of electric machines. Understanding the micro-structural changes due to the macro-structural degradation accruing to weld-packaging helps in the accurate understanding of its influence on the performance and achievable range of the electric vehicle. Five (5) electric steel probes are annealed for the modeling of the local varying iron loss model at five different temperatures and electromagnetically measured to determine its magnetization and loss values. This will help in determining the grain size dependency of the different loss parameters. The annealed probes are measured under mechanical stresses showing also the residual stress dependency.</p>","PeriodicalId":50300,"journal":{"name":"International Journal of Numerical Modelling-Electronic Networks Devices and Fields","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jnm.3234","citationCount":"0","resultStr":"{\"title\":\"Loss parameter identification of a welded ring core lamination of NO-electrical steel\",\"authors\":\"David Ukwungwu, Kay Hameyer\",\"doi\":\"10.1002/jnm.3234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Lamination packaging processes such as welding lead to a significant material degradation of non-oriented (NO) electrical steel sheets. Increase in iron loss and decrease in permeability are the results of the deterioration. For an efficient modeling of a drive train, the accurate parameterization of the iron loss is of upmost importance. For this reason, the iron loss model is expanded to include the influences of welding procedure. Its influence can be classified into changes in the grain size diameter <span></span><math>\\n <semantics>\\n <mrow>\\n <mfenced>\\n <msub>\\n <mi>d</mi>\\n <mi>G</mi>\\n </msub>\\n </mfenced>\\n </mrow>\\n <annotation>$$ \\\\left({d}_{\\\\mathrm{G}}\\\\right) $$</annotation>\\n </semantics></math> and residual stresses <span></span><math>\\n <semantics>\\n <mrow>\\n <mfenced>\\n <mi>σ</mi>\\n </mfenced>\\n </mrow>\\n <annotation>$$ \\\\left(\\\\sigma \\\\right) $$</annotation>\\n </semantics></math>. In this study, a locally varying iron loss model for the simulation of effects of weld-packaging on the electromagnetic properties of non-oriented (NO) electrical steel sheets is presented. Packaging technologies such as interlocking, welding, clinching and gluing are typically utilized for the manufacturing of electric steel stacks of electric machines. Understanding the micro-structural changes due to the macro-structural degradation accruing to weld-packaging helps in the accurate understanding of its influence on the performance and achievable range of the electric vehicle. Five (5) electric steel probes are annealed for the modeling of the local varying iron loss model at five different temperatures and electromagnetically measured to determine its magnetization and loss values. This will help in determining the grain size dependency of the different loss parameters. The annealed probes are measured under mechanical stresses showing also the residual stress dependency.</p>\",\"PeriodicalId\":50300,\"journal\":{\"name\":\"International Journal of Numerical Modelling-Electronic Networks Devices and Fields\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jnm.3234\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Numerical Modelling-Electronic Networks Devices and Fields\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jnm.3234\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Numerical Modelling-Electronic Networks Devices and Fields","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jnm.3234","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
焊接等层压包装工艺会导致无取向(NO)电工钢板的材料严重退化。劣化的结果是铁损增加和磁导率降低。为了对传动系统进行有效建模,最重要的是对铁损进行精确参数化。因此,铁损模型扩展到包括焊接程序的影响。其影响可分为晶粒尺寸直径 d G $ \left({d}_\{mathrm{G}}\right) $$ 和残余应力 σ $ \left(\sigma \right) $$ 的变化。本研究提出了一个局部变化的铁损模型,用于模拟焊接封装对无取向(NO)电工钢板电磁特性的影响。在制造电机的电工钢叠片时,通常会使用联锁、焊接、紧固和胶合等封装技术。了解焊接封装所产生的宏观结构退化所导致的微观结构变化,有助于准确理解其对电动汽车性能和可实现续航里程的影响。在五种不同温度下,对五(5)个电工钢探头进行退火,以建立局部变化铁损耗模型,并通过电磁测量确定其磁化和损耗值。这将有助于确定不同损耗参数的晶粒尺寸相关性。退火探针是在机械应力下测量的,这也显示了残余应力的相关性。
Loss parameter identification of a welded ring core lamination of NO-electrical steel
Lamination packaging processes such as welding lead to a significant material degradation of non-oriented (NO) electrical steel sheets. Increase in iron loss and decrease in permeability are the results of the deterioration. For an efficient modeling of a drive train, the accurate parameterization of the iron loss is of upmost importance. For this reason, the iron loss model is expanded to include the influences of welding procedure. Its influence can be classified into changes in the grain size diameter and residual stresses . In this study, a locally varying iron loss model for the simulation of effects of weld-packaging on the electromagnetic properties of non-oriented (NO) electrical steel sheets is presented. Packaging technologies such as interlocking, welding, clinching and gluing are typically utilized for the manufacturing of electric steel stacks of electric machines. Understanding the micro-structural changes due to the macro-structural degradation accruing to weld-packaging helps in the accurate understanding of its influence on the performance and achievable range of the electric vehicle. Five (5) electric steel probes are annealed for the modeling of the local varying iron loss model at five different temperatures and electromagnetically measured to determine its magnetization and loss values. This will help in determining the grain size dependency of the different loss parameters. The annealed probes are measured under mechanical stresses showing also the residual stress dependency.
期刊介绍:
Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models.
The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics.
Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.