Journal of the Korean Society of Manufacturing Technology Engineers (한국생산제조학회지)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
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Optimization of Classifier Operation Conditions Using Taguchi Method and Multiphase Flow Analysis

다구찌 기법과 다상유동해석을 이용한 분급기 운전조건 최적화

  • Jin, Byeong-Ju (Department of Machanical Engineering, Mokpo National University) ;
  • Park, Min-Ho (Department of Machanical Engineering, Mokpo National University) ;
  • Yoon, Tae-Jong (Department of Machanical Engineering, Mokpo National University) ;
  • Kim, Young-Joo (Convergence Agricultural Machinery R&D Group, KITECH) ;
  • Kang, Bong-Young (Carbon&LightMaterials Application R&D Group, KITECH) ;
  • Shim, Ji-Yeon (Carbon&LightMaterials Application R&D Group, KITECH) ;
  • Kim, Ill-Soo (Department of Machanical Engineering, Mokpo National University)
  • Received : 2017.02.21
  • Accepted : 2017.05.11
  • Published : 2017.06.15
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Abstract

Generally, classifiers have been used as machines to crush raw materials and classify suitable particle sizes in all industrial fields, such as food, chemical, and mineral. However, the technique for classifying micron-sized particles between 5 and $20{\mu}m$ is inferior. In particular, numerous experiments and considerable experiences are required to predict the particle size, because the classifier particle size is determined according to the internal flow. However, it is quite difficult to set the driving conditions so that the desired particle size can be classified only by experience and experimentation. Therefore, this study proposes a method of predicting the average particle size by employing multiphase flow analysis and the Taguchi method; this method is subsequently verified.

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References

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