Design and Optimization of Geometry of Liquid Feed Conveyor Pipes

Yuwen Xia, Jie Hu, Huiyue Hu, Haibin Hu, Jiajia Xiao and Renxin Liu ()
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Yuwen Xia: School of Engineering, Jiangxi Agricultural University, Nanchang 330045, China
Jie Hu: School of Engineering, Jiangxi Agricultural University, Nanchang 330045, China
Huiyue Hu: School of Engineering, Jiangxi Agricultural University, Nanchang 330045, China
Haibin Hu: School of Engineering, Jiangxi Agricultural University, Nanchang 330045, China
Jiajia Xiao: Jiangxi Zengxin Technology Co., Ltd., Xinyu 338000, China
Renxin Liu: School of Engineering, Jiangxi Agricultural University, Nanchang 330045, China

Agriculture, 2024, vol. 14, issue 6, 1-16

Abstract: The promotion and use of liquid feeding face the challenge of insufficiently stable delivery. This issue can be resolved, in part, by using the spiral flow produced by a spiral pipe (SPP). The aim of this study is to investigate how the structural characteristics of the spiral pipe affect the flow state of the liquid feed, and for this purpose, the computational fluid dynamics (CFD) technique has been employed and the liquid feed delivery process has been simulated by means of an Eulerian two-fluid model The results reveal a significant improvement in the slurry’s homogeneity as it traveled through a spiral pipe compared with a straight pipe (STP). The swirl number normally increased with the number, length, height, and angle of the spiral pipe’s guide vanes. The solid-phase distribution was more homogeneous when values of N = 1, L = 1D, H = 3/8R, and θ = 20° were used, respectively, and the COV within 10D downstream of the outlet of the spiral pipe was 3.902% smaller than that of the straight pipe. The results of this study can be used as a reference for the design of liquid feed-conveying pipes.

Keywords: solid–liquid flow; swirl number; swirl-inducing pipe; CFD; liquid feeds; structural optimization (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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