王映远,胡志龙,张琨,邓康耀,钱跃华,刘博.内燃机歧管多分支动量守恒边界模型研究[J].内燃机工程,2021,42(1):53-59. |
Research on Multi-Branch Momentum Conservation Boundary Model for Internal Combustion Engine Manifolds |
DOI:10.13949/j.cnki.nrjgc.2021.01.009 |
Key Words:internal combustion engine multi-branch momentum conservation boundary model |
Author Name | Affiliation | WANG Yingyuan,HU Zhilong,ZHANG Kun,DENG Kangyao,QIAN Yuehua,LIU Bo | 1.Key Laboratory for Power Machinery & Engineering of State Education Ministry, Shanghai Jiao Tong University, Shanghai 200240, China 2.Shanghai Marine Diesel Engine Research Institute, Shanghai 201108, China 3.China Shipbuilding Power Engineering Institute Co., Ltd., Shanghai 200120, China |
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Abstract:To achieve the applicability of a manifold branch model to different branch numbers, a multi-branch momentum conservation boundary model was derived. Firstly, on the basis of the continuity equation and energy equation, a multi-branch momentum conservation boundary model suitable for any number of branches was built considering the momentum change of working medium flowing through multi-branch junctions due to the influence of branch structures and flow parameters. Then, a shock tube test example was set up to compare and analyze the calculation accuracy and efficiency of such different multi-branch models as traditional isobaric model, pressure loss model and momentum conservation model. Finally, a simulation model was established for an internal combustion engine of high power density, and the prediction accuracy of the engine performance was compared with the traditional isobaric model and derived multi-branch momentum conservation boundary model. The results show that the derived model has better comprehensive advantages by balancing calculation accuracy and calculation efficiency on the basis of considering the model compressibility and applicability. For the high power density engine, the maximum prediction error of the engine performance at the rated speed with the traditional isobaric model is 7.58%, and that with the momentum conservation model is 2.47%. The prediction accuracy is greatly improved. |
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