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

ZHENG Zhaolei; QIN Yanxin

doi:10.3969/j.issn.0258-2724.2015.03.022

Volume 28 Issue 3

Jun. 2015

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Journal of Southwest Jiaotong University > 2015 > 28(3): 523-528,549.

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

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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

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

doi: 10.3969/j.issn.0258-2724.2015.03.022

Received Date: 05 May 2014
Publish Date: 25 Jun 2015

Abstract

Abstract

The response surface method (RSM) was used to build models for predicting the octane number and determining the component proportions of a gasoline surrogate fuel, which is synthesized using toluene, is-octane and n-heptane and referred to as toluene reference fuel (TRF). The models, including the first-order model (FOM), the second-order model (SOM) and the third-order model (TOM), are compared in predicting the octane number of gasoline surrogate fuel with predefined component proportions of TRF. As a result, both the SOM and TOM show much better performances than the FOM in predicting the research and motor octane number, with predefined component proportions of TRF. Furthermore, the TOM shows greater accuracy than the SOM in determining the component proportions of TRF with predefined octane number, and the relative error is less than 8%. Therefore, the TOM based on RSM can accurately predict the octane number and determine the component proportions of TRF.
- gasoline surrogate,
- toluene reference fuel,
- octane number,
- proportion

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References

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

doi: 10.3969/j.issn.0258-2724.2015.03.022

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

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