The impact of AI on engineering design procedures for dynamical systems
Abstract
Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The development of mechatronic systems is undergoing a similar transformation. Over the past decade, modeling, simulation, and optimization techniques have become integral to the design process, paving the way for the adoption of AI-based methods. In this paper, we examine the potential for integrating AI into the engineering design process, using the V-model from the VDI guideline 2206, considered the state-of-the-art in product design, as a foundation. We identify and classify AI methods based on their suitability for specific stages within the engineering product design workflow. Furthermore, we present a series of application examples where AI-assisted design has been successfully implemented by the authors. These examples, drawn from research projects within the DFG Priority Program \emph{SPP~2353: Daring More Intelligence - Design Assistants in Mechanics and Dynamics}, showcase a diverse range of applications across mechanics and mechatronics, including areas such as acoustics and robotics.
Cite
@article{arxiv.2412.12230,
title = {The impact of AI on engineering design procedures for dynamical systems},
author = {Kristin M. de Payrebrune and Kathrin Flaßkamp and Tom Ströhla and Thomas Sattel and Dieter Bestle and Benedict Röder and Peter Eberhard and Sebastian Peitz and Marcus Stoffel and Gulakala Rutwik and Borse Aditya and Meike Wohlleben and Walter Sextro and Maximilian Raff and C. David Remy and Manish Yadav and Merten Stender and Jan van Delden and Timo Lüddecke and Sabine C. Langer and Julius Schultz and Christopher Blech},
journal= {arXiv preprint arXiv:2412.12230},
year = {2024}
}
Comments
23 pages, 9 figures, joint publication of the priority programme SPP 2353