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| Optimal design of micro-pipe turbine based on orthogonal test method |
| GUO Huijuan1, WANG Haolan2, ZHENG Yuan3*, SHI Junfeng1, KAN Kan1 |
| 1. College of Energy and Electrical Engineering, Hohai University, Nanjing, Jiangsu 211100, China; 2. Rugao City Moving Town Water Conservancy Service Station, Nantong, Jiangsu 226500, China; 3. Innovation Research Institute of Hohai University, Nanjing, Jiangsu 210024, China |
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Abstract Abstract:Aiming at the environmental pollution problem caused by the dry batteries used in the induction faucets, a new type of micro-piped water turbine was designed and developed. The shape and size of each flow component was determined preliminarily, the multi-objective optimization ortho-gonal test was carried out on the turbine, the optimal test scheme was determined, and the physical model experiment was carried out. The interaction between the water flow and the turbine transmits its rotating mechanical energy to the generator, and generating the electric energy used by the water faucet. Based on the orthogonal experimental optimization theory, the turbine output under the design flow rate was 6.3W, which is 32.35% higher than the preliminary design scheme, and the efficiency is 85.13%, 2.58% higher when compared with the preliminary scheme. After the optimization, both the turbine output and efficiency meet the design requirements. The range difference results show that the turbine output first increased and then decreased with the increase of the number of blades, increased with the increase of the number of fixed guide vanes, decreases with the increase of the opening of fixed guide vanes, and the maximum output of symmetrical guide vanes was achieved. The turbine efficiency increases with the increase of the number of blades, increases with the increase of the number of fixed guide vanes, increased first and then decreases with the increase of the opening of fixed guide vanes, and the negative curvature guide vanes had the highest efficiency. The research results provide a reference for the design and optimization of micro-pipeline turbines.
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Received: 23 December 2020
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