Development of separation sharpness model for hydrocyclone

doi:10.1016/j.cjche.2019.12.014

中国化学工程学报 ›› 2020, Vol. 28 ›› Issue (3): 785-792.DOI: 10.1016/j.cjche.2019.12.014

• Separation Science and Engineering • 上一篇下一篇

Development of separation sharpness model for hydrocyclone

Pakpoom Supachart¹, Thanit Swasdisevi², Pratarn Wongsarivej³, Mana Amornkitbamrung², Naris Pratinthong¹

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 10140, Thailand;
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 10140, Thailand;
3 National Nanotechnology Center, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathumthani 12120, Thailand

收稿日期:2019-09-03 修回日期:2019-12-09 出版日期:2020-03-28 发布日期:2020-06-11
通讯作者: Pakpoom Supachart
基金资助:
The authors would like to express their sincere thanks to the NSTDA University Industry Research Collaboration (NUI-RC) Thailand for supporting the funding in the research.

Development of separation sharpness model for hydrocyclone

Pakpoom Supachart¹, Thanit Swasdisevi², Pratarn Wongsarivej³, Mana Amornkitbamrung², Naris Pratinthong¹

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 10140, Thailand;
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 10140, Thailand;
3 National Nanotechnology Center, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathumthani 12120, Thailand

Received:2019-09-03 Revised:2019-12-09 Online:2020-03-28 Published:2020-06-11
Contact: Pakpoom Supachart
Supported by:
The authors would like to express their sincere thanks to the NSTDA University Industry Research Collaboration (NUI-RC) Thailand for supporting the funding in the research.

摘要/Abstract

摘要： 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, α (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 R² of 0.973.

关键词: Model, Hydrocyclone, Separation, Sharpness, Slurry, Viscosity

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, α (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 R² of 0.973.

Key words: Model, Hydrocyclone, Separation, Sharpness, Slurry, Viscosity

Pakpoom Supachart, Thanit Swasdisevi, Pratarn Wongsarivej, Mana Amornkitbamrung, Naris Pratinthong. Development of separation sharpness model for hydrocyclone[J]. 中国化学工程学报, 2020, 28(3): 785-792.

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.

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Development of separation sharpness model for hydrocyclone

Development of separation sharpness model for hydrocyclone

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