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2013 Vol.50, Issue 1 Preview Page

Research Paper

28 February 2013. pp. 80-87
Abstract
Comminution is a representative energy consuming process, and modeling techniques are indispensable for the improvement of the process efficiency. Among various modeling techniques, the Population Balance Model (PBM) is widely used since it enables grinding circuits with classifiers and the reproduction of the size distribution of the ground products. The parameters of the relevant model are determined from comminution experiments using PC-based back-calculations. Back-calculations, from actual data that include the characteristics of substances and measurement errors, etc., often draw model parameters that are different from the actual parameters. Therefore, in the present study, the characteristics of the errors that occurred were grasped and the back-calculation algorithms were improved through heuristic analysis of the characteristics to present a method to arrive at the most appropriate model parameters. Back-calculations were conducted using corrected functions and, according to the results, the experimental values agree with the calculated values and the proposed functions were identified to be effective in the back-calculation method.
분쇄는 대표적인 에너지 소모형 공정이며 공정의 효율 개선을 위하여 모델링 기법은 필수적이다. 여러 모델링 기법 중 PBM(Population Balance Model)은 분급기가 결합된 분쇄회로 및 분쇄산물의 입도분포 재현이 가능하여 널리 사용되고 있다. 해당 모델 인자는 분쇄 실험으로부터 PC기반의 역산법을 이용하여 결정되는데, 물질의 특성 및 측정오류 등이 포함된 실제 데이터로부터의 역산은 종종 실제와는 다른 모델인자를 도출하기도 한다. 따라서 본 연구에서는 발생하는 오류의 특징을 파악하고 이를 휴리스틱 분석을 통해 역산알고리즘을 개선하여 가장 적합한 모델인자에 도달할 수 있는 방법을 제시하였다. 수정된 함수로 역산결과, 실험값은 계산값와 일치 하였으며 제안된 함수가 역산방법에 있어 효과적임을 확인하였다.
References
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Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 50
  • No :1
  • Pages :80-87