LAPSE:2019.0618
Published Article
LAPSE:2019.0618
Response Surface Method in the Optimization of a Rotary Pan-Equipped process for Increased Efficiency of Slow-Release Coated Urea
Farahnaz Eghbali Babadi, Robiah Yunus, Ali Abbasi, Salman Masoudi Soltani
July 5, 2019
The high solubility of urea in water and its consequent leaching into the soil adversely prevents its full assimilation by plants. An improved slow-release process could effectively minimise the loss of fertilizer material and thus mitigate the associated environmental pollution. In this study, the effects of the operational variables on the efficiency of the urea coating process in a rotary pan have been systematically analysed. A mixture of gypsum-sulphur was used as the coating material with refined water as a binder. In order to comprehensively investigate the impact of each process variable on the efficiency and any potential interactions between them, the effects of particle size, coating material percentage, rotational speed of the pan, spray flow rate and the amount of sprayed water were investigated and analysed via a central composite design of experiments (DoE). The second-order polynomial model provided the best correlation for the experimental data. The predictive model was then used to estimate the efficiency of the coated urea as a function of the statistically-significant variables. The results revealed an increase in the efficiency of the coated urea from 22% to 35% (i.e., ~59%) when prepared under the optimum process conditions.
Keywords
coated urea, design of experiments, process optimisation, slow-release urea
Suggested Citation
Eghbali Babadi F, Yunus R, Abbasi A, Masoudi Soltani S. Response Surface Method in the Optimization of a Rotary Pan-Equipped process for Increased Efficiency of Slow-Release Coated Urea. (2019). LAPSE:2019.0618
Author Affiliations
Eghbali Babadi F: Chemical Engineering Research Unit for Value Adding of Bioresources, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Bangkok 10330, Thailand
Yunus R: Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor 43400, Malaysia
Abbasi A: Computational Process Engineering Research Laboratory, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand [ORCID]
Masoudi Soltani S: Department of Chemical Engineering, Brunel University London, Uxbridge UB8 3PH, UK
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Journal Name
Processes
Volume
7
Issue
3
Article Number
E125
Year
2019
Publication Date
2019-02-28
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7030125, Publication Type: Journal Article
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LAPSE:2019.0618
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doi:10.3390/pr7030125
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Jul 5, 2019
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Jul 5, 2019
 
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Calvin Tsay
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