• Journal of the Computational Structural Engineering Institute of Korea
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• v.21 no.6
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• pp.527-533
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• 2008

This paper proposes a product data model and associated process for CAE activities in context of integrated product development. The data model and process enable Product Lifecycle Management(PLM) systems to integrate currently separated CAE activities into the main product development process. The product view concept in the proposed product data model supports independent CAE activities including analysis of various alternatives based on shared product structures with design departments and seamless translation of the CAE result to design product views. The proposed model is validated through an implementation of a prototype PLM system that can integrate and synchronize CAE process with the company-wide product development process.

• The monthly packaging world
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• s.296
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• pp.67-72
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• 2017

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.2
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• pp.127-134
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• 2009

In product development, CAD and CAE systems taking part in the design process were individually developed. Furthermore, in product development, different divisions and businesses often have heterogeneous CAD/CAE systems and methods for expressing product data, and addressing this heterogeneity creates additional costs and causes longer development periods. To ensure successful collaboration in the design process, it is therefore imperative that different CAD, CAE, and other related systems be managed in an organic and integrated manner from the initial stages of product development. Therefore, this study suggests an integrated CAD/CAE system including optimization in a more effective and integrated manner but also to support interfacing and the collective use of design and analysis tools. To validate the proposed method, a stiffened plate example is taken as an example. It is found that the proposed method could overcome the bottleneck of CAD and CAE such as transferability of data, though CATIA and ANSYS are used at the moment. Besides, carrying out an optimization process during the CAE process is another essential parts for the structural optimization process.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.1501-1502
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• 2010

• Journal of the Society of Naval Architects of Korea
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• v.45 no.3
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• pp.322-328
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• 2008

Recently, the rapid progress of Internet and Network affects engineering design environment as well as Business fields to utilize Web technologies to enhance it's competitively in the world. In product development, experts and organizations actually taking part in the design process are often geographically dispersed. Furthermore, different divisions and businesses often have heterogeneous CAD/CAE systems and methods for expressing product data, and addressing this heterogeneity creates additional costs and causes longer development periods. To ensure successful collaboration in the design process, it is therefore imperative that distributed CAD, CAE, and other related systems be managed in an organic and integrated manner from the initial stages of product development. Therefore, this study suggests Web-based MDO(Multidisciplinary Design Optimization) framework to support interfacing and the collective use of design and analysis tools.

• Transactions of the KSME C: Technology and Education
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• v.3 no.2
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• pp.149-154
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• 2015

Disruptive innovation means the innovation which obsoletes the existing technology by a new technology. Like the examples of disruptive innovation, film camera and digital camera and PC and laptop, CAE technology can be regarded as a disruptive technology which can raise the disruptive innovation. CAE technology which is being improved dramatically with the development of the related technologies brings the innovation in the design and validation process in manufacturing industry. This innovation can change the rule of the market so that the researchers, companies and CAE enginnees should pay attention to it. Also not only the improvement of the technology but also the training and cultivation of the engineers who can utilize CAE technology are very important and cannot be neglected.

• Journal of the KSME
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• v.53 no.1
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• pp.51-55
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• 2013

자동차산업은 CAx(CAS, CAD, CAE, CAM, CAT)로 대변되는 디지털 기법들을 '80년대부터 도입하여 개발효율을 높이고 제품품질을 향상시키는 데 활용해 왔다. 현재는 특정기법을 활용한 해당 부문의 업무효율을 높이는 단계를 넘어서, CAx 기법들을 차량개발프로세스에 접목하여 전체 개발효율을 극대화시키는 관점의 디지털 개발 프로세스 구축이, 선진 자동차사의 관심사이다.

• Computational Structural Engineering
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• v.20 no.3
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• pp.25-32
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• 2007

CATIA V5 해석기능에 대하여 간략히 소개하고자 한다. 설계자용 해석뿐만 아니라 전문 해석 분야까지 CATIA V5 환경 내에서 완벽하게 통합을 이루어, 설계-해석 두 프로세스간에 피드백이 자연스럽게 이루어지는 등 설계-해석주기(Cycle)를 극소화시킴으로써, 궁극적으로 품질 개선을 이루고 전체 개발기간을 단축시킬 수 있게 한다.

• Proceedings of the KSME Conference
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• 2007.05a
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• pp.614-619
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• 2007

The importance of simulation of plastic flow in the injection mold is increasing as the parts are more complex, but the small-scale enterprises can't afford to invest for the infra individually. CAE (Computer Aided Engineering) service was naturally born based on these needs. This paper presents the engineering collaboration model between the large and the small/medium enterprises in the field of injection molds. Based on the engineering collaboration hub and CAE service, small-scale enterprises could research the necessary technology and develop the proper products. The analysis results of CAE are provided by the integrated visualization system on the web. This paper also deals with the delivery shorting process of CAE service for electric/electronic parts which should meet the needs of customers as soon as possible.

• Korean Journal of Computational Design and Engineering
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• v.15 no.6
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• pp.418-424
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• 2010

For an engineering analysis to predict a bending of PCB by heat, geometry information from CAM data should be transferred to CAE system. But because this work is done by people, not computer, in PCB manufacturing company, it takes too much time, makes many errors and a result is unreliable. To solve these problems, we analyze a working process of company, then develop a CAM to CAE interface to translate a CAM data into a data to be input into a CAE system automatically.