ORIGINAL RESEARCH
Entropy Weight Method – Three-Dimensional Motion Modeling of Fog Droplets and Analysis of Influencing Factors
Zhidong Wu 1,2,3
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1
Institute of Economic Crops, Heilongjiang Academy of Agricultural Sciences, Harbin,150086, China
 
2
School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar 161006, China
 
3
The Engineering Technology Research Center for Precision Manufacturing Equipment and Industrial Perception of Heilongjiang Province, Qiqihar 161006, China
 
4
Qiqihar Branch of Heilongjiang Academy of Agricultural Machinery Sciences, Qiqihar 161000, China
 
 
Submission date: 2024-04-02
 
 
Final revision date: 2024-07-04
 
 
Acceptance date: 2024-07-22
 
 
Online publication date: 2025-03-24
 
 
Corresponding author
Shuquan Zhang   

Institute of Economic Crops, Heilongjiang Academy of Agricultural Sciences, Harbin,150086,China, China
 
 
 
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ABSTRACT
A three-dimensional droplet motion model based on droplet motion force and droplet motion evaporation is established to effectively verify the physical and chemical properties of droplets and the impact of external factors on droplet trajectory. Given the influence of multi-influence factors on droplet trajectory and droplet impact, kinematic analysis of a single droplet is conducted through droplet spatial trajectory dimensional transformation to explore the different influences on the droplet in the space of each motion offset direction. Fog droplet trajectory offset is affected by its physical and chemical properties and the external factors. According to the simulation results of the slope of the fitting curve and the coefficient of determination, the entropy weight method is used to analyze the influence of its factors and the fog droplet trajectory offset. The impact of the external wind speed is the largest, but compared with the physical and chemical properties of the droplet, the influence of the droplet trajectory size surpasses the initial angle of incidence. The relevant modeling and simulation conclusions theoretically support the design of fogging systems and optimization of fogging operation parameters.
eISSN:2083-5906
ISSN:1230-1485
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