A New Predictive Vehicle Particulate Emissions Index Based on Gasoline Simulated Distillation
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SAE International
Reference10 articles.
1. Chapman, E., Winston-Galant, M., Geng, P., and Pryor, S. , “Development of an Alternative Predictive Model for Gasoline Vehicle Particulate Matter and Particulate Number,” SAE Technical Paper 2019-01-1184 (2019). https://doi.org/10.4271/2019-01-1184.
2. Aikawa, K., Sakurai, T., and Jetter, J. , “Development of a Predictive Model for Gasoline Vehicle Particulate Matter Emissions,” SAE Int. J. Fuels Lubr 3, no. 2 (2010): 610-622, doi:10.4271/2010-01-2115.
3. Chapman, E., Geng, P., Zhao, Y., Gong, J. et al. , “China Market Gasoline Range Fuel Review using Fuel Particulate Emission Correlation Indices,” SAE Technical Paper 2017-01-2401 (2017). https://doi.org/10.4271/2017-01-2401.
4. Chapman, E., Geng, P., and Konzack, A. , “Five Years Trend of Global Market Gasoline Quality Review using Fuel Particulate Emission Correlation Indices,” in SAE World Congress, 2021, Detroit, MI.
5. CRC Project AVFL-29-2 Effect of DHA Development on PMI Variability .
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Gasoline Simulated Distillation Profiles of U.S. Market Gasoline and Impacts on Vehicle Particulate Emissions;SAE Technical Paper Series;2023-10-31
2. Correlation of Detailed Hydrocarbon Analysis with Simulated Distillation of US Market Gasoline Samples and its Effect on the PEI-SimDis Equation of Calculated Vehicle Particulate Emissions;SAE Technical Paper Series;2023-04-11
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