Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Q2 Engineering
Designs Pub Date : 2023-07-14 DOI:10.3390/designs7040093
B. Gerschütz, C. Sauer, Andreas Kormann, S. Nicklas, S. Goetz, Matthias Roppel, S. Tremmel, Kristin Paetzold-Byhain, S. Wartzack
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引用次数: 1

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.
数字工程方法在机电一体化设计过程中的实际应用
本研究旨在评估在产品开发中使用人工智能、深度学习、数字化和数据挖掘的研究现状,主要是在机械和机电一体化领域。这些方法统称为“数字工程”,有可能颠覆产品开发的方式,提高产品开发过程的效率。然而,将它们集成到当前的产品开发过程中还不是很普遍。这项工作提出了一个新的统一的观点,在产品开发的数字工程研究的现状,通过文献综述。这包括讨论数字工程的方法,介绍产品开发过程,并根据各自的应用领域分类呈现结果。最后对文献分析结果进行了评价,并对未来的研究潜力进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Designs
Designs Engineering-Engineering (miscellaneous)
CiteScore
3.90
自引率
0.00%
发文量
0
审稿时长
11 weeks
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