A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity

[EN] Digital product data quality and reusability has been proven a critical aspect of the Model-Based Enterprise to enable the efficient design and redesign of products. The extent to which a history-based parametric CAD model can be edited or reused depends on the geometric complexity of the part...

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Detalhes bibliográficos
Autores: Contero, Manuel|||0000-0002-6081-9988, Pérez Lopez, David Clemente|||0000-0002-9293-4892, Company, P., Camba, J.D.
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/203801
Acesso em linha:https://riunet.upv.es/handle/10251/203801
Access Level:acceso abierto
Palavra-chave:CAD model complexity
Perceived complexity
CAD model complexity metrics
CAD model reusability
DIBUJO
EXPRESION GRAFICA EN LA INGENIERIA
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spelling A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexityContero, Manuel|||0000-0002-6081-9988Pérez Lopez, David Clemente|||0000-0002-9293-4892Company, P.Camba, J.D.CAD model complexityPerceived complexityCAD model complexity metricsCAD model reusabilityDIBUJOEXPRESION GRAFICA EN LA INGENIERIA[EN] Digital product data quality and reusability has been proven a critical aspect of the Model-Based Enterprise to enable the efficient design and redesign of products. The extent to which a history-based parametric CAD model can be edited or reused depends on the geometric complexity of the part and the procedure employed to build it. As a prerequisite for defining metrics that can quantify the quality of the modeling process, it is necessary to have CAD datasets that are sorted and ranked according to the complexity of the modeling process. In this paper, we examine the concept of perceived CAD modeling complexity, defined as the degree to which a parametric CAD model is perceived as difficult to create, use, and/or modify by expert CAD designers. We present a novel method to integrate pair-wise comparisons of CAD modeling complexity made by experts into a single metric that can be used as ground truth. Next, we discuss a comprehensive study of quantitative metrics which are derived pri-marily from the geometric characteristics of the models and the graph structure that represents the parent/child relationships between features. Our results show that the perceived CAD modeling complexity metric derived from experts' assessment correlates particularly strongly with graph-based metrics. The Spearman coefficients for five of these metrics suggest that they can be effectively used to study the parameters that influence the reusability of models and as a basis to implement effective personalized learning strategies in online CAD training scenarios.This work was supported by a grant provided by Vice-rectorate for Research from Universitat Politecnica de Valencia (PAID-11-21) and the Spanish Ministry of Universities in the framework of the State Programme for the Promotion of Talent and its Employability in R & D & I, State Mobility Sub-programme of the State Plan for Scientific and Technical Research and Innovation 2017-2020 (Grant PRX21-00387).ElsevierDepartamento de DibujoDepartamento de Ingeniería GráficaFacultad de Bellas ArtesInstituto Universitario de Investigación en Tecnología Centrada en el Ser HumanoEscuela Técnica Superior de Ingeniería IndustrialMinisterio de UniversidadesUNIVERSIDAD POLITECNICA DE VALENCIAUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20232023-04-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/203801reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengUniversitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-11-21 HERRAMIENTAS INTELIGENTES PARA SOPORTAR LA CREACION Y REUTILIZACION DE MODELOS CAD PARAMETRICOS Y PROCEDURALES DE ALTA CALIDADUniversitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-11-21Ministerio de Universidades MIU PRX21-00387open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2038012026-06-13T07:49:27Z
dc.title.none.fl_str_mv A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
title A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
spellingShingle A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
Contero, Manuel|||0000-0002-6081-9988
CAD model complexity
Perceived complexity
CAD model complexity metrics
CAD model reusability
DIBUJO
EXPRESION GRAFICA EN LA INGENIERIA
title_short A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
title_full A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
title_fullStr A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
title_full_unstemmed A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
title_sort A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
dc.creator.none.fl_str_mv Contero, Manuel|||0000-0002-6081-9988
Pérez Lopez, David Clemente|||0000-0002-9293-4892
Company, P.
Camba, J.D.
author Contero, Manuel|||0000-0002-6081-9988
author_facet Contero, Manuel|||0000-0002-6081-9988
Pérez Lopez, David Clemente|||0000-0002-9293-4892
Company, P.
Camba, J.D.
author_role author
author2 Pérez Lopez, David Clemente|||0000-0002-9293-4892
Company, P.
Camba, J.D.
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Dibujo
Departamento de Ingeniería Gráfica
Facultad de Bellas Artes
Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano
Escuela Técnica Superior de Ingeniería Industrial
Ministerio de Universidades
UNIVERSIDAD POLITECNICA DE VALENCIA
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv CAD model complexity
Perceived complexity
CAD model complexity metrics
CAD model reusability
DIBUJO
EXPRESION GRAFICA EN LA INGENIERIA
topic CAD model complexity
Perceived complexity
CAD model complexity metrics
CAD model reusability
DIBUJO
EXPRESION GRAFICA EN LA INGENIERIA
description [EN] Digital product data quality and reusability has been proven a critical aspect of the Model-Based Enterprise to enable the efficient design and redesign of products. The extent to which a history-based parametric CAD model can be edited or reused depends on the geometric complexity of the part and the procedure employed to build it. As a prerequisite for defining metrics that can quantify the quality of the modeling process, it is necessary to have CAD datasets that are sorted and ranked according to the complexity of the modeling process. In this paper, we examine the concept of perceived CAD modeling complexity, defined as the degree to which a parametric CAD model is perceived as difficult to create, use, and/or modify by expert CAD designers. We present a novel method to integrate pair-wise comparisons of CAD modeling complexity made by experts into a single metric that can be used as ground truth. Next, we discuss a comprehensive study of quantitative metrics which are derived pri-marily from the geometric characteristics of the models and the graph structure that represents the parent/child relationships between features. Our results show that the perceived CAD modeling complexity metric derived from experts' assessment correlates particularly strongly with graph-based metrics. The Spearman coefficients for five of these metrics suggest that they can be effectively used to study the parameters that influence the reusability of models and as a basis to implement effective personalized learning strategies in online CAD training scenarios.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-04-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/203801
url https://riunet.upv.es/handle/10251/203801
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-11-21 HERRAMIENTAS INTELIGENTES PARA SOPORTAR LA CREACION Y REUTILIZACION DE MODELOS CAD PARAMETRICOS Y PROCEDURALES DE ALTA CALIDAD
Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-11-21
Ministerio de Universidades MIU PRX21-00387
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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