Experimental Optimization of Self-Priming Pump Based on the Full Factor Test

Authors

  • Hao CHANG Research Center of Fluid Machinery Engineering and Technology, Jiangsu University
  • Shiming HONG Research Center of Fluid Machinery Engineering and Technology, Jiangsu University
  • Dehui YU Chongqing Pump Industry Co. Ltd.
  • Guangjie PENG Research Center of Fluid Machinery Engineering and Technology, Jiangsu University
  • Daoxing YE Key Laboratory of Fluid Machinery and Engineering (Xihua University)
  • Jianrui LIU Research Center of Fluid Machinery Engineering and Technology, Jiangsu University
  • Shouqi YUAN Research Center of Fluid Machinery Engineering and Technology, Jiangsu University

DOI:

https://doi.org/10.5755/j02.mech.29931

Keywords:

experimental optimization;, self-priming pump;, prediction model;, full factor test

Abstract

  • Self-priming pump as the core equipment for flood fighting and emergency rescue plays an important role in flood prevention and other fields. More importantly, the geometric parameters of the self-priming nozzle directly determine the performance of the self-priming pump. In the previous analysis,only small amount of experiment was conducted to optimize the geometry parameters of self-priming nozzle, and the interaction between the parameters was not considered. In this paper, the full factor test method is employed to explore the main and interaction effect of the nozzle geometric parameters on the self-priming performance, and the order of response to self-priming time is obtained. Meanwhile, a novel self-priming performance model was established, the self-priming time of different geometric parameters self-priming nozzles can be effectively predicted, and the test analysis cycle and production costs were greatly reduced. Finally, the self-priming test under different self-priming height with optimal self-priming nozzle was conducted, the variation regulation between self-priming time and self-priming height was obtained. Therefore, this research could effectively provide the design reference of self-priming nozzles optimization.

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Published

2021-10-12

Issue

Section

MECHANICAL TECHNOLOGIES