Applied Chemistry for Engineering (공업화학)

The Korean Society of Industrial and Engineering Chemistry (한국공업화학회)
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Software Development for the Analysis and Prediction of Packing Density of Multi-sized Mixture Particles

Multi-sized 혼합입자의 충전 분율 해석 및 예측을 위한 소프트웨어 개발

  • Oh, Min (Department of Chemical Engineering, Hanbat National University) ;
  • Hong, Seong Uk (Department of Chemical Engineering, Hanbat National University)
  • 오민 (한밭대학교 화학공학과) ;
  • 홍성욱 (한밭대학교 화학공학과)
  • Received : 2007.10.04
  • Accepted : 2007.10.08
  • Published : 2007.12.10
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Abstract

Software program to predict the packing density of multi-sized and multi-component particulate system was developed. For this purpose, the experiment to measure the packing density of AP (ammonium perchlorate) and Al (aluminum) particles with different sizes and their mixtures was carried out. The packing densities obtained from various experiments were compared with the predicted data from the developed software program. In the case of the packing density of the binary system, which is comprised of two different size particles and/or two different components, the relative errors were ranged 0.25~13.13%, and in the same venue the relative errors of the ternary system were 0.25~13.13%. Agreement between experimental data and the predicted results is reasonably accurate. In order to achieve the targeted packing density, the software program calculated the contour of the component particles and this will contribute the formulation of optimal packing systems.

다양한 크기를 가진 다성분 입자의 충전분율을 정확하게 예측할 수 있는 소프트웨어 프로그램을 개발하였다. 이를 위하여 다양한 크기의 염소산암모늄(Ammonium perchlorate, AP)과 알루미늄(Aluminum, Al) 입자와 혼합물에 대한 충전분율 측정실험을 수행하였다. 실험에 의해 얻어진 충전분율은 개발된 프로그램에 의해 예측된 값과 비교하였다. 크기가 다른 2종류 입자의 혼합 충전의 경우 상대오차가 0.25~13.13%, 3종류 입자의 혼합 충전의 경우 0.13~10.01%로 나타나 실험값과 잘 일치하였다. 목표 충전분율을 얻기 위한 각 구성입자의 질량분율 contour를 프로그램을 통하여 구할 수 있으며 이를 통하여 충전시스템을 최적화 할 수 있다.

Keywords

Acknowledgement

Supported by : 국방과학연구소

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