Correlation-based feature extraction from computer-aided design, case study on curtain airbags design

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Arjomandi Rad, MohammadJönköping University,JTH, Konstruktion och produktutveckling,Department of Product Development, School of Engineering, Jönköping University, Sweden (författare)

Correlation-based feature extraction from computer-aided design, case study on curtain airbags design

Artikel/kapitelEngelska2022

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Elsevier,2022
printrdacarrier

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LIBRIS-ID:oai:DiVA.org:hj-55973
https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-55973URI
https://doi.org/10.1016/j.compind.2022.103634DOI
https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20923URI

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Språk:engelska
Sammanfattning på:engelska

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CC BY 4.0Corresponding author: E-mail address: mohammad.rad@ju.se (A.R. Mohammad).
Many high-level technical products are associated with changing requirements, drastic design changes, lack of design information, and uncertainties in input variables which makes their design process iterative and simulation-driven. Regression models have been proven to be useful tools during design, altering the resource-intensive finite element simulation models. However, building regression models from computer-aided design (CAD) parameters is associated with challenges such as dealing with too many parameters and their low or coupled impact on studied outputs which ultimately requires a large training dataset. As a solution, extraction of hidden features from CAD is presented on the application of volume simulation of curtain airbags concerning geometric changes in design loops. After creating a prototype that covers all aspects of a real curtain airbag, its CAD parameters have been analyzed to find out the correlation between design parameters and volume as output. Next, using the design of the experiment latin hypercube sampling method, 100 design samples are generated and the corresponding volume for each design sample was assessed. It was shown that selected CAD parameters are not highly correlated with the volume which consequently lowers the accuracy of prediction models. Various geometric entities, such as the medial axis, are used to extract several hidden features (referred to as sleeping parameters). The correlation of the new features and their performance and precision through two regression analyses are studied. The result shows that choosing sleeping parameters as input reduces dimensionality and the need to use advanced regression algorithms, allowing designers to have more accurate predictions (in this case approximately 95%) with a reasonable number of samples. Furthermore, it was concluded that using sleeping parameters in regression-based tools creates real-time prediction ability in the early development stage of the design process which could contribute to lower development lead time by eliminating design iterations.

Ämnesord och genrebeteckningar

TEKNIK OCH TEKNOLOGIER Maskinteknik Farkostteknik hsv//swe
ENGINEERING AND TECHNOLOGY Mechanical Engineering Vehicle Engineering hsv//eng
NATURVETENSKAP Matematik Beräkningsmatematik hsv//swe
NATURAL SCIENCES Mathematics Computational Mathematics hsv//eng
TEKNIK OCH TEKNOLOGIER Maskinteknik Annan maskinteknik hsv//swe
ENGINEERING AND TECHNOLOGY Mechanical Engineering Other Mechanical Engineering hsv//eng
CAD/CAE
Curtain Airbag
Design Automation
Feature extraction
Machine Learning
Medial Axis
Parametric models
Regression Analysis
Computer aided design
Computer aided engineering
Extraction
Forecasting
Iterative methods
Large dataset
Sleep research
Computer-aided design
Computer-aided design/CAE
Design automations
Design parameters
Design-process
Features extraction
Machine-learning
Medial axes
Regression modelling
Virtual Manufacturing Processes

Biuppslag (personer, institutioner, konferenser, titlar ...)

Salomonsson, KentHögskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Virtual Manufacturing Processes(Swepub:his)salk (författare)
Cenanovic, MirzaJönköping University,JTH, Produktionsutveckling,Department of Product Development, School of Engineering, Jönköping University, Sweden(Swepub:hj)cenmir (författare)
Balague, H.Autoliv AB, Vårgårda, Sweden (författare)
Raudberget, DagJönköping University,JTH, Produktionsutveckling,JTH, Konstruktion och produktutveckling,Department of Product Development, School of Engineering, Jönköping University, Sweden(Swepub:hj)RaDa (författare)
Stolt, Roland,1970-Jönköping University,JTH, Konstruktion och produktutveckling,Department of Product Development, School of Engineering, Jönköping University, Sweden(Swepub:hj)stro (författare)
Jönköping UniversityJTH, Konstruktion och produktutveckling (creator_code:org_t)

Sammanhörande titlar

Ingår i:Computers in industry (Print): Elsevier1380166-36151872-6194

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Av författaren/redakt...: Arjomandi Rad, M ...; Salomonsson, Ken ...; Cenanovic, Mirza; Balague, H.; Raudberget, Dag; Stolt, Roland, 1 ...

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TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Maskinteknik; och Farkostteknik

NATURVETENSKAP: NATURVETENSKAP; och Matematik; och Beräkningsmatema ...

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Maskinteknik; och Annan maskintekn ...

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Av lärosätet: Jönköping University; Högskolan i Skövde

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