Generative engineering design methodology used for the development of surface-based components.

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Title: Generative engineering design methodology used for the development of surface-based components.
Authors: Gulanová, Jana1, Gulan, Ladislav2, Forrai, Michal2, Hirz, Mario3
Source: Computer-Aided Design & Applications. Aug2017, Vol. 14 Issue 5, p642-649. 8p.
Subjects: Automotive drafting, Automotive engineering, Computer-aided design, Computer-aided engineering, Engineering design
Abstract: The presented paper introduces a methodology of Generative Engineering Design of surface-based components in the automotive development and its general use. In addition, the required tools for the application of the presented method within complex CAD systems are described and discussed. Application of presented methodology is shown within the development of an exemplary class A surface of a sport vehicle front part. In the context it is shown, that Generative Engineering Design methodology provides an automatic adaptation of detailed design in case of styling modification, leading to automatically recreated linked features, e.g. component boundaries, if designer's styling (CAS) is changed. [ABSTRACT FROM PUBLISHER]
Copyright of Computer-Aided Design & Applications is the property of Computer-Aided Design & Applications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Generative engineering design methodology used for the development of surface-based components.
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  Data: <searchLink fieldCode="AR" term="%22Gulanová%2C+Jana%22">Gulanová, Jana</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gulan%2C+Ladislav%22">Gulan, Ladislav</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Forrai%2C+Michal%22">Forrai, Michal</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Hirz%2C+Mario%22">Hirz, Mario</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Design+%26+Applications%22">Computer-Aided Design & Applications</searchLink>. Aug2017, Vol. 14 Issue 5, p642-649. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Automotive+drafting%22">Automotive drafting</searchLink><br /><searchLink fieldCode="DE" term="%22Automotive+engineering%22">Automotive engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-aided+design%22">Computer-aided design</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-aided+engineering%22">Computer-aided engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+design%22">Engineering design</searchLink>
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  Data: The presented paper introduces a methodology of Generative Engineering Design of surface-based components in the automotive development and its general use. In addition, the required tools for the application of the presented method within complex CAD systems are described and discussed. Application of presented methodology is shown within the development of an exemplary class A surface of a sport vehicle front part. In the context it is shown, that Generative Engineering Design methodology provides an automatic adaptation of detailed design in case of styling modification, leading to automatically recreated linked features, e.g. component boundaries, if designer's styling (CAS) is changed. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of Computer-Aided Design & Applications is the property of Computer-Aided Design & Applications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/16864360.2016.1273581
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        Text: English
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              Text: Aug2017
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              Y: 2017
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