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Porous modeling for the prediction of pressure drop through a perforated strainer

타공형 스트레이너의 압력강하 예측을 위한 다공성모델링

  • 정일선 (동아대학교 대학원 기계공학과) ;
  • 박재현 (한국조선해양기자재연구원) ;
  • 배재환 (한국조선해양기자재연구원) ;
  • 강상모 (동아대학교 기계공학과)
  • Received : 2013.01.22
  • Accepted : 2013.04.26
  • Published : 2013.05.31

Abstract

In the present paper, we apply a porous modelling technique to accurately predict the pressure drop through the strainer by replacing all or some of the filter composed of perforated plates with porous media and there imposing the streamwise and transverse loss coefficients required according to the Forchheimer law and then confirm its effectiveness. At first, the streamwise coefficient is obtained by performing a simple simulation on the pipe flow mimicking the hole flow. Subsequently, the transverse coefficient is obtained by setting a unit pattern to have common flow loss characteristics with the repeated shape patterns in the filter, then performing numerical simulations on the prototype and porous model of the unit shape pattern, and finally comparing their results of pressure drop. To validate the applied modeling technique, we perform the numerical simulation with the two specified loss coefficients on a whole shape of strainer and compare the modeling results with those of the corresponding prototype numerical simulation. Comparison indicates that the modeling technique can predict the pressure drop and flow characteristics comparatively accurately and save the number of nodes closely related to the computational cost (CPU and memory) by about 3~4 times compared with the prototype simulation.

본 논문에서는 타공판으로 구성된 필터의 전부 또는 일부를 다공성 매질로 대체하고 Forchheimer 법칙에 따라 판의 수직방향과 횡방향으로 손실계수를 부과하여 스트레이너를 지나는 유동의 압력 강하량를 정확히 예측할 수 있는 다공성모델링 기법을 적용하고 그 유효성을 확인하였다. 먼저 간단한 파이프 유동 해석을 통하여 수직방향 손실계수를 구하였다. 이어 필터 내에 반복되는 타공판 형상과 유동손실특성을 공유할 수 있는 단위주기 형상을 설정하고, 설정된 단위형상에 대하여 원형과 다공성모델 수치모사를 각각 수행한 후, 얻어진 두 결과를 서로 비교하여 횡방향 손실계수를 구하였다. 적용된 다공성모델링 기법을 검증하기 위하여 스트레이너 전체형상에 대하여 다공성모델 수치모사를 수행하였으며, 그 해석결과를 원형 수치모사 결과와 직접 비교하였다. 비교 결과, 다공성모델링 기법은 압력 강하량과 유동특성을 비교적 정확히 예측하였으며 계산비용과 직결되는 노드 수는 약 3~4배 정도 줄일 수 있었다.

Keywords

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