• 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.

• 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.

• 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.

• 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 Korean Society of Precision Engineering Conference
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• 1996.11a
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• pp.846-850
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• 1996

Today's product development requires simultaneous satisfaction of low cost, high quality and fast time to market. It is, however, difficult for product designers and engineers to achieve this goal due to too many requirements. This study shows integrated Computer Aided Engineering (CAE) approach can help to achieve such goal. CAE can not only support designers when decision needs to be made during concept design period but also provide evaluation of the designed parts and guidance to the best design of products during detail design period. Furthermore, integration with virtual prototyping concept can reduce number of actual prototyping and consequently reduce product development cost and time considerably. In order to demonstrate its possibility, example of washing machine development using CAE and its results are presented in this study.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.11
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• pp.1603-1611
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• 2010

The comparative study of regression-model-based approximate optimization techniques used in the strength design of an automotive knuckle component that will be under bump and brake loading conditions is carried out. The design problem is formulated such that the cross-sectional sizing variables are determined by minimizing the weight of the knuckle component that is subjected to stresses, deformations, and vibration frequency constraints. The techniques used in the comparative study are sequential approximate optimization (SAO), sequential two-point diagonal quadratic approximate optimization (STDQAO), and approximate optimization based on enhanced moving least squares method (MLSM), such as CF (constraint feasible)-MLSM and Post-MLSM. Commercial process integration and design optimization (PIDO) tools are utilized for the application of SAO and STDQAO. The enhanced MLSM-based approximate optimization techniques are newly developed to ensure constraint feasibility. The results of the approximate optimization techniques are compared with those of actual non-approximate optimization to evaluate their numerical performances.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.4
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• pp.72-81
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• 2014

In this study, we perform the optimization of trailing arm bush in a vehicle rear suspension to improve the ride and handling performance. A design problem was formulated considering 2 objective functions and 7 constraints related to vehicle ride and handling performance. PIAnO, one of the PIDO (Process Integration and Design Optimization) tool, was used to automate analysis procedures and perform a design optimization. In order to assess relation between performances and design variables, we perform the DOE (Design of Experiments). To find the optimal solution, we used Progressive quadratic response surface method (PQRSM), one of the design optimization techniques equipped in PIAnO. As an optimization result, we got an optimal solution and could improve lateral force steer off-center by 43.0% while decreasing brake compliance at wheel center by 8.1%.