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汽油替代物辛烷值预测与组分比例确定模型

郑朝蕾 覃炎忻

郑朝蕾, 覃炎忻. 汽油替代物辛烷值预测与组分比例确定模型[J]. 西南交通大学学报, 2015, 28(3): 523-528,549. doi: 10.3969/j.issn.0258-2724.2015.03.022
引用本文: 郑朝蕾, 覃炎忻. 汽油替代物辛烷值预测与组分比例确定模型[J]. 西南交通大学学报, 2015, 28(3): 523-528,549. doi: 10.3969/j.issn.0258-2724.2015.03.022
ZHENG Zhaolei, QIN Yanxin. Prediction Model for Octane Number and Component Proportions of Gasoline Surrogate Fuel[J]. Journal of Southwest Jiaotong University, 2015, 28(3): 523-528,549. doi: 10.3969/j.issn.0258-2724.2015.03.022
Citation: ZHENG Zhaolei, QIN Yanxin. Prediction Model for Octane Number and Component Proportions of Gasoline Surrogate Fuel[J]. Journal of Southwest Jiaotong University, 2015, 28(3): 523-528,549. doi: 10.3969/j.issn.0258-2724.2015.03.022

汽油替代物辛烷值预测与组分比例确定模型

doi: 10.3969/j.issn.0258-2724.2015.03.022
基金项目: 

国家863计划资助项目(2012AA111703)

详细信息
    作者简介:

    郑朝蕾(1980-),女,教授,博士,研究方向为内燃机数值模拟, E-mail: zhengzhaolei@cqu.edu.cn

Prediction Model for Octane Number and Component Proportions of Gasoline Surrogate Fuel

  • 摘要: 基于响应曲面法(response surface methodology, RSM),建立了用于预测甲苯掺比燃料(toluene reference fuel, TRF)替代汽油燃料的辛烷值和确定其组分比例的数学模型,并应用该模型的一阶模型(first order model, FOM)、二阶模型(second order model, SOM)和三阶模型(third order model, TOM)预测TRF辛烷值和确定TRF组分比例.结果表明:在已知组分比例下,用FOM模型和TOM模型在预测对应TRF法辛烷值和马达法辛烷值时,预测结果远优于FOM模型;在已知TRF法辛烷值和马达法辛烷值条件下, TOM模型预测TRF构成比例的相对误差在8%以内,优于SOM模型,表明基于RSM建立的TOM模型能够准确的预测TRF燃料辛烷值和确定TRF燃料的构成比例.

     

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出版历程
  • 收稿日期:  2014-05-05
  • 刊出日期:  2015-06-25

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