薄膜传感器用于数据驱动的杯后挤压同心度预测

IF 3.2 3区工程技术 Q2 ENGINEERING, INDUSTRIAL

Cirp Annals-Manufacturing Technology Pub Date : 2024-01-01 DOI:10.1016/j.cirp.2024.04.035

M. Rekowski , K.C. Grötzinger , A. Schott , M. Liewald (2)

{"title":"薄膜传感器用于数据驱动的杯后挤压同心度预测","authors":"M. Rekowski , K.C. Grötzinger , A. Schott , M. Liewald (2)","doi":"10.1016/j.cirp.2024.04.035","DOIUrl":null,"url":null,"abstract":"<div><p>The manufacture of precise metal components by cold forging poses serious challenges to the process reliability under unstable process conditions. The detection of geometrical imperfections, such as concentricity deviations, is necessary for the operator to adjust the forging tool rack properly. In this paper, a novel piezoelectric thin-film sensor disc is introduced to detect such concentricity deviations based on the measurement of eccentric load, that is arising from elastic punch deformation. Experimental results showed, that the concentricity deviation of the produced parts efficiently can be predicted by processing measured force data using a support vector regression algorithm.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 205-208"},"PeriodicalIF":3.2000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0007850624000490/pdfft?md5=24ed88063a5f4160a02aa81a7a3e9ccd&pid=1-s2.0-S0007850624000490-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Thin-film sensors for data-driven concentricity prediction in cup backward extrusion\",\"authors\":\"M. Rekowski , K.C. Grötzinger , A. Schott , M. Liewald (2)\",\"doi\":\"10.1016/j.cirp.2024.04.035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The manufacture of precise metal components by cold forging poses serious challenges to the process reliability under unstable process conditions. The detection of geometrical imperfections, such as concentricity deviations, is necessary for the operator to adjust the forging tool rack properly. In this paper, a novel piezoelectric thin-film sensor disc is introduced to detect such concentricity deviations based on the measurement of eccentric load, that is arising from elastic punch deformation. Experimental results showed, that the concentricity deviation of the produced parts efficiently can be predicted by processing measured force data using a support vector regression algorithm.</p></div>\",\"PeriodicalId\":55256,\"journal\":{\"name\":\"Cirp Annals-Manufacturing Technology\",\"volume\":\"73 1\",\"pages\":\"Pages 205-208\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0007850624000490/pdfft?md5=24ed88063a5f4160a02aa81a7a3e9ccd&pid=1-s2.0-S0007850624000490-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cirp Annals-Manufacturing Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0007850624000490\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cirp Annals-Manufacturing Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007850624000490","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 0

摘要

在不稳定的工艺条件下，通过冷锻制造精密金属部件对工艺可靠性提出了严峻的挑战。对同心度偏差等几何缺陷的检测是操作员正确调整锻造工具架的必要条件。本文介绍了一种新型压电薄膜传感器盘，它可根据偏心载荷（由弹性冲头变形产生）的测量来检测此类同心度偏差。实验结果表明，通过使用支持向量回归算法处理测得的力数据，可以有效地预测所生产零件的同心度偏差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Thin-film sensors for data-driven concentricity prediction in cup backward extrusion

The manufacture of precise metal components by cold forging poses serious challenges to the process reliability under unstable process conditions. The detection of geometrical imperfections, such as concentricity deviations, is necessary for the operator to adjust the forging tool rack properly. In this paper, a novel piezoelectric thin-film sensor disc is introduced to detect such concentricity deviations based on the measurement of eccentric load, that is arising from elastic punch deformation. Experimental results showed, that the concentricity deviation of the produced parts efficiently can be predicted by processing measured force data using a support vector regression algorithm.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Cirp Annals-Manufacturing Technology 工程技术-工程：工业

CiteScore

7.50

自引率

9.80%

发文量

137

审稿时长

13.5 months

期刊介绍： CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems. This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include: Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.