Development of separation sharpness model for hydrocyclone

Pakpoom Supachart; Thanit Swasdisevi; Pratarn Wongsarivej; Mana Amornkitbamrung; Naris Pratinthong

doi:10.1016/j.cjche.2019.12.014

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Development of separation sharpness model for hydrocyclone

Separation Science and Engineering | Updated：2026-01-06

- Development of separation sharpness model for hydrocyclone
- Chinese Journal of Chemical Engineering Vol. 28, Issue 3, Pages: 785-792(2020)
- Affiliations：
  
  1. Division of Energy Technology, School of Energy, Environment and Materials, King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Road, Bang Mod, Thung khru,Bangkok,Thailand,10140
  2. Division of Thermal Technology, School of Energy, Environment and Materials, King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Road, Bang Mod, Thung khru,Bangkok,Thailand,10140
  3. National Nanotechnology Center, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathumthani,Thailand,12120
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2019.12.014
  CLC：
- Published：2020
- Accepted：
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Pakpoom Supachart, Thanit Swasdisevi, Pratarn Wongsarivej, Mana Amornkitbamrung, Naris Pratinthong. Development of separation sharpness model for hydrocyclone[J]. Chinese Journal of Chemical Engineering, 2020, 28(3): 785-792.
DOI：

Pakpoom Supachart, Thanit Swasdisevi, Pratarn Wongsarivej, Mana Amornkitbamrung, Naris Pratinthong. Development of separation sharpness model for hydrocyclone[J]. Chinese Journal of Chemical Engineering, 2020, 28(3): 785-792. DOI： 10.1016/j.cjche.2019.12.014.

摘要

Abstract

Hydrocyclones are mechanical devices used in classifying and separating many different types of materials. A classification function of the hydrocyclone has been continually developed for solid-liquid separation. In the classification process of solids from liquids

it is desirable to reduce the amount of misplaced material; therefore

the separation sharpness

(alpha)

is a parameter that helps in evaluating misplaced material and has been developed as a model to help the designer predict the performance of the classification. However

the problem with the separation sharpness model is that it cannot be used outside the range of conditions under which it was developed. Therefore

this research aimed to develop the separation sharpness model to predict more accurately and cover a wide range of conditions using the multiple linear regression method. The new regression model of separation sharpness was based on a wide range of both experimental and industrial data-sets of 431 tests collaborating with the additional experiments of 117 tests that were obtained from a total of 548 tests. The new model of separation sharpness can be used in the range of 30-762 mm hydrocyclone body diameters and feed solid concentrations in the

range of 0.5wt%-80 wt%. When compared with the experimental separation sharpness

the accuracy of the separation sharpness model prediction has an error of 4.53% and

of 0.973.

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