Digital Engineering Methods in Practical Use during Mechatronic Design Processes
Author:
Gerschütz Benjamin1ORCID, Sauer Christopher1ORCID, Kormann Andreas2ORCID, Nicklas Simon J.3ORCID, Goetz Stefan1ORCID, Roppel Matthias2, Tremmel Stephan2ORCID, Paetzold-Byhain Kristin4ORCID, Wartzack Sandro1ORCID
Affiliation:
1. Engineering Design, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany 2. Engineering Design and CAD, Universität Bayreuth, 95447 Bayreuth, Germany 3. Technical Product Development, Universität der Bundeswehr München, 85577 Neubiberg, Germany 4. Virtual Product Development, Technische Universität Dresden, 01069 Dresden, Germany
Abstract
This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referred to as “digital engineering”, have the potential to disrupt the way products are developed and improve the efficiency of the product development process. However, their integration into current product development processes is not yet widespread. This work presents a novel consolidated view of the current state of research on digital engineering in product development by a literature review. This includes discussing the methods of digital engineering, introducing a product development process, and presenting results classified by their individual area of application. The work concludes with an evaluation of the literature analysis results and a discussion of future research potentials.
Funder
Bayerische Forschungsstiftung
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Engineering (miscellaneous)
Reference139 articles.
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