DIC Data-Driven Methods Improving Confidence in Material Qualification of Composites

Seon, Guillaume; Makeev, Andrew; Nikishkov, Yuri; Shonkwiler, Brian

doi:10.1007/978-3-319-51439-0_60

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Still, five contributions, see [125][126][127][128][129], contemplate the development and production of integrated circuits. Besides two contributions that focus on advancements in material science [130] and medical technology [131], only four articles address product development on a more general, abstract level: Kano et al [106] focus on the improvement of quality and yield, especially for new products in the advent of increasingly short life cycles, and propose a corresponding databased methodology. Li et al [132] go one step further regarding new product development and address the number of necessary verification, validation, and accreditation cycles of the V-Model with a Model-Based Systems Engineering integration and an explicit extension towards data-driven features.…”

Section: Validationmentioning

confidence: 99%

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Gerschütz

Sauer

Kormann

et al. 2023

Designs

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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.

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