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Article type: Research Article
Authors: Zhang, Zunhaoa; b | Zhang, Junxiaa; b; * | Tian, Weia; b | Li, Yangc | Song, Yahuia; b | Zeng, Qia; b
Affiliations: [a] Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, Tianjin, China | [b] College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China | [c] School of Fine Arts, Tianjin University of Technology, Tianjin, China
Correspondence: [*] Corresponding author. Junxia Zhang, E-mail: [email protected].
Abstract: The increasing market demand for milk powder has not only promoted the production capacity of milk powder, but also increased the impact on the environment. Therefore, it is very important to study the relationship between the environmental impact of milk powder spray drying (MPSD) system and system-related parameters and identify the key parameters to improve the efficiency of the sustainable improvement of the system. Treed Gaussian Process (TGP) and Standardized Regression Coefficients (SRC)methods are used to analyze the sensitivity of the system to environmental impacts. The results show that the inlet air temperature of the drying tower has the greatest impact on the environment of the system, accounting for about 82%, followed by the atomization pressure and the feed pump speed, accounting for about 9% and 8% respectively. Moreover, not only the environmental performance of the system should be improved, but also the quality of milk powder should be guaranteed when optimizing the parameters such as the inlet air temperature of drying tower. This study can help the manufacturers of milk powder and related equipment to determine the priority of improving the system from the perspective of environmental protection.
Keywords: Sensitivity analysis, treed Gaussian process, standardized regression coefficients, spray drying, environmental impact
DOI: 10.3233/JIFS-211961
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 6, pp. 5511-5522, 2022
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