How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers

Bickel S, Sprügel T, Schleich B, Wartzack S (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: Cambridge University Press

City/Town: Cambridge, United Kingdom

Pages Range: 2567-2576

Conference Proceedings Title: Proceedings of the 22nd International Conference on Engineering Design (ICED19)

Event location: Delft NL

URI: https://www.archiv.mfk.tf.fau.de?file=pubmfk_5d5126503e7a3

DOI: 10.1017/dsi.2019.263

Open Access Link: https://www.cambridge.org/core/journals/proceedings-of-the-international-conference-on-engineering-design/article/how-do-digital-engineering-and-included-ai-based-assistance-tools-change-the-product-development-process-and-the-involved-engineers/9A3D

Abstract

Current trends in product development are digital engineering, the increasing use of assistance tools
based on artificial intelligence and in general shorter product lifecycles. These trends and new tools
strongly rely on available data and will irreversibly change established product development processes.
One example for such a new data driven tool is the plausibility check of linear finite element simulations
with Convolutional Neural Networks (CNN). This tool is capable of determining whether new
simulation results are plausible or non-plausible according to numeric input data. The digitalization and
the increased use of data driven tools employing algorithms known from Artificial Intelligence also
shifts the roles of many involved engineers. This paper describes and highlights this transition from
current product development processes to a data driven / simulation driven product development
process. Particularly, the shifts and changes of different roles and domains are illustrated and an example
for changing roles in the design and simulation department is described. Furthermore, required
adjustments in the design process are derived and compared to the current status.

Authors with CRIS profile

Sebastian Bickel Chair of Engineering Design Tobias Sprügel Chair of Engineering Design Benjamin Schleich Chair of Engineering Design Sandro Wartzack Chair of Engineering Design

Related research project(s)

None - None Vorhersage von Produkteigenschaften mittels Data-Mining-Methoden (EFRE E|ASY OPT) Kompetenz- und Analyseprojekt für die „datengetriebene Prozess- und Produktionsoptimierung mittels Data Mining und Big Data“ Jan. 1, 2017 - Dec. 31, 2020

How to cite

APA:

Bickel, S., Sprügel, T., Schleich, B., & Wartzack, S. (2019). How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers. In Proceedings of the 22nd International Conference on Engineering Design (ICED19) (pp. 2567-2576). Delft, NL: Cambridge, United Kingdom: Cambridge University Press.

MLA:

Bickel, Sebastian, et al. "How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers." Proceedings of the International Conference on Engineering Design, ICED19, Delft Cambridge, United Kingdom: Cambridge University Press, 2019. 2567-2576.

BibTeX: Download