About the authors
Volker Schulze has been a full professor for Manufacturing and Materials Technology at the Institute for Production Science at Karlsruhe Institute of Technology (KIT) since April 2010. Parallelly, he is director at the Institute of Applied Materials at KIT. He is member of CIRP International Academy for Production Engineering and Spokesperson of the Research Priority Program 2086 of DFG. Research Interests include machining, additive manufacturing, heat treatment and mechanical surface treatments.
Frederik Zanger holds the position as chief engineer of the research group ‘manufacturing and materials technology’ at wbk Institute of Production Science since 2012 and is currently heading the joint research group ‘Additive Manufacturing’ within the framework of an KIT-Industry Fellowship in cooperation with Rosswag Engineering. Furthermore he is responsible for the area of Mechanical Finishing at Edelstahl Rosswag. His research areas include machining, additive manufacturing and surface engineering.
Benedict Stampfer has been a research associate of the research group ‘manufacturing and materials technology’ at wbk Institute of Production Science since 2017. His research areas include cooling strategies and control concepts of machining processes as well as surface engineering.
Prof. Dr.-Ing. Jörg Seewig studied electrical engineering at the Leibniz Universität Hannover. He gained his PhD in 2000 with a thesis on signal processing for surface roughness. Since 2008, he is chair of the institute for measurement and sensor technology at the Technische Universität Kaiserslautern. He is one of the German experts in Working Group 15 (Filtration) and Working Group 15 (Surface Texture) of ISO/TC213 Geometric Product Specification. He is project leader of various ISO documents e. g. ISO 16610-28, ISO 16610-31, ISO 16610-71 and ISO 21920-2.
Julian Uebel completed his mechanical engineering studies at the University of Kaiserslautern in 2017 and has been Research Assistant at the Institute for Measurement and Sensor Technology since then. Since 2018 he is working on a subproject of the Research Priority Program 2086 of DFG. The research focus is on optical and pneumatic in-process measurement technology.
Andreas Zabel is working as the chief engineer at the Institute of Machining Technology since 2002. His PhD thesis (2003) dealt with simulation based tool wear prediction in milling processes and his habilitation thesis (2011) covered process simulations for turning and milling. Today, he is focusing his research work on the numerical modelling and simulation of cutting processes and the corresponding material characterization methods.
Bernd Wolter studied Material Science at University of Saarland. He made his PhD in Applications of One-Sided Nuclear Magnetic Resonance for Material Characterization. In 2001 he was awarded with the Berthold Prize of the DGZfP (German Society for Non-Destructive Testing). Since 2002 he is head of department for Production Integrated NDT at the Fraunhofer-Institute for Nondestructive Testing. His research is focussed to sensor-based quality monitoring and control in production.
David Böttger studied Mechatronics with focus on sensor technology at University of Applied Sciences in Saarbrücken and is working since 2017 as research associate at Fraunhofer Institute for Nondestructive Testing IZFP. His research activities focuses on production integrated process monitoring improvement based on micromagnetic and high frequency acoustic nondestructive testing techniques.
References
1. International vocabulary of metrology – Basic and general concepts and associated terms (VIM), 3rd edition, 2008.Search in Google Scholar
2. DIN IEC 60050-351:2014-09: International electrotechnical vocabulary – Part 351: Control technology (IEC 60050-351:2013).Search in Google Scholar
3. VDI 3633 Blatt 1:2014-12: Simulation of systems in materials handling, logistics and production – Fundamentals.Search in Google Scholar
4. DIN 1319-1:1995-01: Fundamentals of metrology – Part 1: Basic terminology.Search in Google Scholar
5. Lanza, G., Haefner, B., Schild, L., Berger, D., Eschner, N., Wagner, R., Zaiß, M.: In-line measurement technology and quality control. In: Gao, W. (Hrsg.) Metrology (Precision Manufacturing), pp. 1–35, 2019.Search in Google Scholar
6. Schmitt, R., Damm, B.: Prüfen und Messen im Takt. Wie sie mit Inline-Messtechnik ihre Wertschöpfung maximieren. In: QZ 53, pp. 57–59 (2008).Search in Google Scholar
7. Géron, Aurélien: Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems. O’Reilly Media, Inc., 2017.Search in Google Scholar
8. Ripley, Brian D., and Hjort, N. L.: Pattern recognition and neural networks. Cambridge University Press, 1996.10.1017/CBO9780511812651Search in Google Scholar
9. VDI 4465 Blatt 1, 2016-05: Modelling and simulation – building the model.Search in Google Scholar
10. DIN ISO 3534-1:2009-10: Statistics – Vocabulary and symbols – Part 1: General statistical terms and terms used in probability (ISO 3534-1:2006); Text in German and English.Search in Google Scholar
11. Lin, B., Recke, B., Knudsen, J. K., and Jørgensen, S. B.: A systematic approach for soft sensor development, Computers & Chemical Engineering, vol. 31, no. 5-6, pp. 419–425, 2007.10.1016/S1570-7946(05)80033-1Search in Google Scholar
12. DIN EN 1330-4:2010: Non-destructive testing – Terminology – Part 4: Terms used in ultrasonic testing; Trilingual version EN 1330-4:2010.Search in Google Scholar
13. VDI/VDE 2616 Blatt 1:2012-08: Hardness testing of metallic materials.Search in Google Scholar
14. DIN EN 1330-9:2017-10: Non-destructive testing – Terminology – Part 9: Terms used in acoustic emission testing; German version EN 1330-9:2017.Search in Google Scholar
15. Cremer, Heckl: Körperschall – Physikalische Grundlagen und technische Anwendungen, 3. Auflagen, 2009, ISBN 978-3-540-40336-4.Search in Google Scholar
16. Karpuschewski, B., Bleicher, O., and Beutner, M.: Surface integrity inspection on gears using Barkhausen noise analysis, Procedia Engineering 19, 162–171, 2011.10.1016/j.proeng.2011.11.096Search in Google Scholar
17. Gentzen, J., Hochmuth, C., Fritzsch, E., Dobrenko, R., and Dapprich, D.: Verfahren und Vorrichtung zur Bewertung der thermischen Randzoneneigenschaften während der Bearbeitung an einer Oberfläche eines mittels Schleifen bearbeiteten Werkstücks, Patent DE102016224683, Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V., 80636 München, 2018.Search in Google Scholar
18. DIN EN ISO 15549:2019-10: Non-destructive testing – Eddy current testing – General principles (ISO 15549:2019); German version EN ISO 15549:2019.Search in Google Scholar
19. DIN EN ISO 2178:2016-11: Non-magnetic coatings on magnetic substrates – Measurement of coating thickness – Magnetic method (ISO 2178:2016); German version EN ISO 2178:2016.Search in Google Scholar
20. Wolter, Bernd, Gabi, Yasmine, and Conrad, Christian: Nondestructive testing with 3MA – an overview of principles and applications, Applied Sciences, vol. 9, Nr. 6, Art. 1068, 2019, 29 S., ISSN: 2076-3417.10.3390/app9061068Search in Google Scholar
21. DIN EN 60584-1:2014-07 (IEC_60584-1:2013): Thermocouples – Part 1: EMF specifications and tolerances (IEC 60584-1:2013); German version EN 60584-1:2013.Search in Google Scholar
22. DIN EN 60751:2009-05 (IEC_60751:2008): Industrial platinum resistance thermometers and platinum temperature sensors (IEC 60751:2008); German version EN 60751:2008.Search in Google Scholar
23. Bonfig, K.: Sensoren und Sensorsysteme: Wegweisende, serienreife neue Produkte und Verfahren. Expert-Verl, 1991.Search in Google Scholar
© 2020 Walter de Gruyter GmbH, Berlin/Boston