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A novel marine turbocharger compressor volume flow rate model based on stagnation enthalpy theory  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:A novel marine turbocharger compressor volume flow rate model based on stagnation enthalpy theory

作者:Tang, Yuanyuan[1,4];Xia, Yu[2];Zhang, Jundong[1];Jia, Baozhu[3];Liang, Wenwei[1]

机构:[1]Dalian Maritime Univ, Marine Engn Coll, Dalian, Peoples R China;[2]Dalian Univ Technol, Sch Energy & Power Engn, Dalian, Peoples R China;[3]Guangdong Ocean Univ, Maritime Coll, Zhanjiang, Peoples R China;[4]Dalian Maritime Univ, Marine Engn Coll, 1 Linghai Rd, Dalian 116026, Liaoning, Peoples R China

年份:2024

卷号:25

期号:8

起止页码:1537

外文期刊名:INTERNATIONAL JOURNAL OF ENGINE RESEARCH

收录:SCI-EXPANDED(收录号:WOS:001193749100001)、、EI(收录号:20241515875666)、Scopus(收录号:2-s2.0-85189620197)、WOS

基金:The author(s) disclosed receipt of the following financial sup-port for the research, authorship, and/or publication of this article: This work was supported by National Natural Science Foundation of China (52071090), China Postdoctoral Science Foundation (2021M690495), National Key R&D Program of China (2022YFB4301400), High-technology Ship Research Program (CBG3N21-3-3).

语种:英文

外文关键词:Compressor; model; turbocharger; diesel engine; mass flow rate; Jensen; MVEM; Marine

外文摘要:The compressor volume flow rate model determines the mass flowing into the diesel engine in simulation. It is a key component model that affects the accuracy of the overall performance of the diesel engine. At present, there is a lack of an accurate and easy-to-use compressor volume flow rate model. To solve this, the stagnation enthalpy-based compressor volume flow rate model (SP model) is proposed. The SP model is compared with an improved version of the famous empirical JENSEN model, M-JENSEN (MJ), and physics-based KS model. The proposed SP model only requires the stagnation pressure to be determined. The empirical M-JENSEN model needs a compressor map to optimize its six parameters. The physics-based KS model requires specific work to be determined. The SP model needs the least measured data and is easy to be identified. Models' accuracy comparison on ABB A270 shows that the proposed SP model can generate the compressor map with RMSE of about 1.1m3/s and mean relative error (MRE) of about 6.9%. The rated volume flow rate of ABB A270 is about 20m3/s. While the RMSE and MRE of MJ model are about 0.6m3/s and 3.1% respectively. And they are about 3.0m3/s and 17.4% for KS model. When the model's accuracy is compared to MAN TCA88, SP model shows slightly better performance than its performance on ABB A270. The rated volume flow rate of MAN TCA88 is about 60m3/s. The values of RMSE of SP model, MJ model, and KS model are 3.2m3/s, 2.2m3/s, 10.3m3/s respectively. Their MREs are 6.73%, 4.45%, and 17.8% respectively. In terms of these results, it can be concluded that our proposed SP model needs the least data, easy to code, and has excellent performance. It is one of the best compressor mass flow rate models so far in real-time diesel simulation.

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