Paper
25 October 2023 Layout optimization design of circumferential arrangement nozzles for a plane cleaning equipment
Lianzhi Wang, Xiujuan Zhang, Xianfeng Zhang, Wei Sun, Liang Gao
Author Affiliations +
Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 1280138 (2023) https://doi.org/10.1117/12.3007158
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China
Abstract
Multi-nozzle plane cleaning equipment is widely used in water jet cleaning technologies, which has the advantages of higher cleaning efficiency, better cleaning effect, and saving more labor and time. Currently, the nozzle layout of multi-nozzle plane cleaning equipment is mostly circumferential arranged and is adopted as the research object in this paper. Simulation optimization analysis is conducted on the parameters of multi-nozzle plane layout and its dynamic pressure cloud map and water phase volume fraction cloud map are obtained. Orthogonal experimental optimization method is applied with cleaning indicators as optimization objectives, and then the layout of multi-nozzle plane is optimized. The optimal layout states that the equipment should have 7 nozzles, the nozzle space and the nozzle target distance should be 16 mm and 110 mm, respectively. The research results provide a reference basis for the study of multi-nozzle plane layout parameters and a theoretical basis for the design of multi-nozzle cleaning equipment.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lianzhi Wang, Xiujuan Zhang, Xianfeng Zhang, Wei Sun, and Liang Gao "Layout optimization design of circumferential arrangement nozzles for a plane cleaning equipment", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 1280138 (25 October 2023); https://doi.org/10.1117/12.3007158
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KEYWORDS
Nozzles

Cleaning equipment

Design and modelling

Turbulence

Mathematical optimization

Analytical research

Clouds

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