Werner Homberg, Bahman Arian, Viktor Arne, Thomas Borgert, Alexander Brosius, Peter Groche, Christoph Hartmann, Lukas Kersting, Robert Laue, Juri Martschin, Thomas Meurer, Daniel Spies, A. Erman Tekkaya, Ansgar Trächtler, Wolfram Volk, Frank Wendler, Malte Wrobel
{"title":"Softsensors: key component of property control in forming technology","authors":"Werner Homberg, Bahman Arian, Viktor Arne, Thomas Borgert, Alexander Brosius, Peter Groche, Christoph Hartmann, Lukas Kersting, Robert Laue, Juri Martschin, Thomas Meurer, Daniel Spies, A. Erman Tekkaya, Ansgar Trächtler, Wolfram Volk, Frank Wendler, Malte Wrobel","doi":"10.1007/s11740-023-01227-1","DOIUrl":null,"url":null,"abstract":"Abstract The constantly increasing challenges of production technology for the economic and resource-saving production of metallic workpieces require, among other things, the optimisation of existing processes. Forming technology, which is confronted with new challenges regarding the quality of the workpieces, must also organise the individual processes more efficiently and at the same time more reliably in order to be able to guarantee good workpiece quality and at the same time to be able to produce economically. One way to meet these challenges is to carry out the forming processes in closed-loop control systems using softsensors. Despite the many potential applications of softsensors in the field of forming technology, there is still no definition of the term softsensor. This publication therefore proposes a definition of the softsensor based on the definition of a sensor and the distinction from the observer, which on the one hand is intended to stimulate scientific discourse and on the other hand is also intended to form the basis for further scientific work. Based on this definition, a wide variety of highly topical application examples of various softsensors in the field of forming technology are given.","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11740-023-01227-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract The constantly increasing challenges of production technology for the economic and resource-saving production of metallic workpieces require, among other things, the optimisation of existing processes. Forming technology, which is confronted with new challenges regarding the quality of the workpieces, must also organise the individual processes more efficiently and at the same time more reliably in order to be able to guarantee good workpiece quality and at the same time to be able to produce economically. One way to meet these challenges is to carry out the forming processes in closed-loop control systems using softsensors. Despite the many potential applications of softsensors in the field of forming technology, there is still no definition of the term softsensor. This publication therefore proposes a definition of the softsensor based on the definition of a sensor and the distinction from the observer, which on the one hand is intended to stimulate scientific discourse and on the other hand is also intended to form the basis for further scientific work. Based on this definition, a wide variety of highly topical application examples of various softsensors in the field of forming technology are given.