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Sustainability through data-driven computational production and life cycle engineering

: Herrmann, C.; Leiden, A.; Cerdas, F.; Bandorf, Ralf; Vergöhl, M.

Volltext ()

McClure, Donald J. (technischeR RedakteurIn) ; Society of Vacuum Coaters -SVC-, Albuquerque/NM:
Society of Vacuum Coaters. 62nd Annual Technical Conference. Pt.1 : April 27 - May 2, 2019, Long Beach, California, USA
Albuquerque: SVC, 2019
ISBN: 978-1-878068-39-2
Society of Vacuum Coaters (Annual Technical Conference) <62, 2019, Long Beach/Calif.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IST ()

Coatings and surface engineering are essential enablers for sustainable products and processes. They have the potential to drastically reduce environmental impacts per functional unit. A holistic approach is required to support engineering decisions from a system perspective and to avoid problem shifting. Such a holistic approach on the one hand spans from process and machine level to factory level. On the other hand, the entire life cycle from raw material extraction, production and use to disassembly and recycling needs to be considered. Furthermore, methods and tools are necessary to allow a comprehensive environmental assessment while being able to handle the system complexity without extensive iterations or rough simplifications. Here, digitization of product and processes enables new data-driven computational approaches in production and life cycle engineering. In production engineering, e.g. cyber-physical-systems can support the selection of process parameters to optimize energy and resource efficiency by using the cyber part as a safe platform for testing new parameter combinations. In life cycle engineering, modular and flexible tools can compute environmental impacts related to the introduction of new technologies, while considering different use scenarios and external factors. In addition, methods from visual analytics become a key element to involve different stakeholders and to support decision-making processes with respect to sustainability targets.