Digital Engineering Methods in Practical Use during Mechatronic Design Processes
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
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.
Details
Original language | English |
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Article number | 93 |
Journal | Designs : open access engineering design journal |
Volume | 7 |
Issue number | 4 |
Publication status | Published - Aug 2023 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- data mining, data-driven methods, digital engineering, implementation, machine learning, product development, system design, system integration, validation