KIT | KIT-Bibliothek | Impressum | Datenschutz

Softsensors: key component of property control in forming technology

Homberg, Werner; Arian, Bahman; Arne, Viktor; Borgert, Thomas; Brosius, Alexander; Groche, Peter; Hartmann, Christoph; Kersting, Lukas; Laue, Robert; Martschin, Juri; Meurer, Thomas ORCID iD icon 1; Spies, Daniel; Tekkaya, A. Erman; Trächtler, Ansgar; Volk, Wolfram; Wendler, Frank; Wrobel, Malte 1
1 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000163788
Veröffentlicht am 08.11.2023
Originalveröffentlichung
DOI: 10.1007/s11740-023-01227-1
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 0944-6524, 1863-7353
KITopen-ID: 1000163788
Erschienen in Production Engineering
Verlag Wissenschaftliche Gesellschaft für Produktionstechnik e.V. (WGP)
Vorab online veröffentlicht am 13.10.2023
Schlagwörter Forming, Process control, Softsensor, Observer
Nachgewiesen in Dimensions
Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page