CD-adapco Engineering Simulation Software - CAE and CFD Software
  • CD-adapco는 의료기기 혁신 컨소시엄(MDIC) 회원자격을 갱신하였습니다.

    2014년 7월 29일, 뉴욕과 런던

    CD-adapco™은 CFD에 중점을 두고 있는 CAE 소프트웨어 공급업체로, 의료기기 분야의 특정 수요에 초점을 맞추고 있는 최초의 공공-민간 협력체인 의료기기 혁신 컨소시엄(MDIC) 회원자격을...

    보도자료

    CD-adapco는 최근 서울에서 STAR Korean Academic Conference 2014를 개최하였습니다.

    2014년 7월 16일,...

  • 저는 STAR-CCM+®를 사용하기 전까지 내 경력의 대부분을 오픈소스 CFD 툴을 사용하는데 소비했고 무료 시뮬레이션 소프트웨어에는 종종 비싼 가격이 동반된다는 것을 마침내 깨달았습니다. 이 말이 모순처럼 들릴 수 있지만, 한 푼 지출 없이 마우스 클릭 한 번으로 다운로드하여 자유롭게 사용하고, 수정, 그리고 공유하는 것은 보이는 것보다 싸지 않습니다. 작업에 소요된 시간에 있어...

    보도자료

    지난 해 캘린더 경진대회는 약 100여개 이상의 출품작이 나온 가장 성공적인 대회였습니다. 출품작들은 지금까지의 대회 중에서 가장 매력적이고 유익한 시뮬레이션 후 처리 결과를 보여주었습니다.

    참여를...

  • 차세대 전자기장 장비 설계 가속화

    2014년 7월 21일 뉴욕과 런던

    CD-adapco™은 CFD에 중점을 두고 있는 CAE 소프트웨어 공급업체로, 열과 전자기장 시뮬레이션이 연계된 영역의 동시 시뮬레이션 방법에 대한 공동 개발을 위하여 JMAG 전자기장 코드로 유명한 JSOL과 공동 개발 계약에 체결하였다고 발표하였습니다.

    CD-adapco의 제품 관리 부사장인 Jean-Claude...

    국민대학교 SAE 포뮬러 팀
    비디오

    CD-adapco가 후원하는 국민대학교 SAE 포뮬러팀(KORA)은 STAR-CCM+ 를 사용하여 차량의 성능을 크게 향상시키고 있다.

What is CFD?
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Computational Fluid Dynamics is a methodology that allows engineers to predict the performance of their designs when exposed to fluid flow, either internal flow (such as the flow of air and gasoline through an engine manifold) or external flow (such as the aerodynamic flow past an automobile or the hydrodynamic flow past a boat). CFD software programs can simulate problems involving gases, liquids and solids and multi-phase problems that depend on the interaction of any number of the above.

CFD is used in the design of almost every major product. Reducing uncertainty in the design process, and resulting in higher quality products and designs, with greater robustness that better meet customer requirements.

More than just flow!
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Although most practical engineering problems involve fluid dynamics to some extent, finding the solution to real-world engineering challenges involves taking accurate account of a range of physical phenomena. For this reason CFD tools can account for wide range of associated physics, including heat transfer, chemical reaction, combustion, solid transport and acoustics.

One important class of problems are those that involve FSI or Fluid Structure Interaction, where the fluid flow influences a physical structure - such as the bending of an airplane wing, or of a boat being slammed by waves. Computational Fluid Dynamics simulations can account for both the influence of the fluid on the structure, and of deformations in the structures shape on the fluid.

Simulate the System
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Complex industrial problems require CFD solutions that span a multitude of physical phenomena, which often can only be solved using simulation techniques that cross several engineering disciplines. Engineers demand the ability to "see the big picture". Simulating whole systems with Computational Fluid Dynamics and not just individual components, taking account of all the factors that are likely to influence to performance of their product in its working life. In short, to simulate the performance of their design in the context that it will actually be used.

Multi-Disciplinary Design Exploration
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Although CFD is can usefully be applied to almost any engineering problem, it's real value comes from being able to improve a product or design through multiple design iterations, using engineering data from the simulation results to drive the design process. Ultimately this results in higher quality, robust products, that better fulfill customer expectations.

CD-adapco is pioneering an approach called "MDX" or "Multi-Disciplinary Design Exploration", in which sophisticated software is used to drive the simulation through a complete range of operating scenarios, including a range of geometrical configurations and different operating points. This approach can be used to gain a complete understanding of the performance of the product across the whole design space.

When combined with HEEDS, CD-adapco's dedicated optimization software, the MDX approach can be used to calculate the best possible combination of design parameters to maximize the real-life performance of the product.