Towards automated joining element design

Derk Hendrik Dominick Eggink*, Marco Wilhelm Groll, Daniel F. Perez-Ramirez, Johannes Biedert, Christoph Knödler, Patrick Papentin

*Corresponding author for this work

    Research output: Contribution to journalConference articleAcademicpeer-review

    21 Downloads (Pure)

    Abstract

    Product variety and its induced manufacturing complexity remains to increase and therefore greatens challenges for design of joining elements. Historically, joining element design was a paper-based process with incomplete variety documentation and is digitalized only by replacing paper for 3D space. Currently, joining element design remains an ambiguous manual task with limited automation, resulting in long iterative, error prone development trajectories and costly reworks. Thus, processes in practice conflict with required capabilities. Artificial intelligence helps to solve such conflicts by taking over repetitive tasks, preventing human errors, optimizing designs and enabling designers to focus on their core competencies. This paper proposes a novel artificial intelligence method toolbox as a foundation to automate joining element design in manufacturing industries. The methodology aims to incorporate multiple lifecycle requirements including large product variety.
    Original languageEnglish
    Pages (from-to)87-96
    Number of pages10
    JournalProcedia computer science
    Volume159
    Early online date14 Oct 2019
    DOIs
    Publication statusPublished - 2019

    Fingerprint Dive into the research topics of 'Towards automated joining element design'. Together they form a unique fingerprint.

  • Cite this