Embracing Strategic Knowledge for Developing a Methodological Framework for Parametric Modeling Quality

  1. Aranburu, Aritz 3
  2. Justel, Daniel 3
  3. Contero, Manuel 2
  4. Company, Pedro 1
  5. Camba, Jorge 4
  1. 1 Universitat Jaume I
    info

    Universitat Jaume I

    Castelló de la Plana, España

    ROR https://ror.org/02ws1xc11

  2. 2 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

  3. 3 Universidad de Mondragón/Mondragon Unibertsitatea
    info

    Universidad de Mondragón/Mondragon Unibertsitatea

    Mondragón, España

    ROR https://ror.org/00wvqgd19

  4. 4 Purdue University
    info

    Purdue University

    West Lafayette, Estados Unidos

    ROR https://ror.org/02dqehb95

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Revista:
Computer-Aided Design and Applications

ISSN: 1686-4360

Año de publicación: 2024

Páginas: 525-535

Tipo: Artículo

DOI: 10.14733/CADAPS.2025.525-535 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Computer-Aided Design and Applications

Resumen

In Model-Based Enterprise environments, 3D CAD models — specifically, native parametric solid models — become the primary carriers of design information for engineering and manufacturing activities. It is therefore critical that these assets are built to the highest levels of quality and explicitly meet the requirements for being: 1) usable, the model is valid, and it represents, without error, all the significant geometric aspects; 2) reusable, the model is consistent and concise and reasonable changes are facilitated; and 3) information-rich, the model clearly communicates its design intent both implicitly and explicitly with annotations. Current practices for parametric associative CAD modeling, however, barely address usability and only consider reusability at the simplest and most basic level. In this paper, we discuss the inherent limitations of current modeling methodologies and identify the challenges involved in creating a fully comprehensive strategy. Finally, we outline the basis of a theoretical framework that aims to overcome these issues.