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A Novel Model for Computing the Trapping Efficiency and Residual Gas Fraction Validated with an Innovative Technique for Measuring the Trapping Efficiency

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Author

Summary, in English

The paper describes a novel method for calculating the residual gas fraction and the trapping efficiency in a 2 stroke engine. Assuming one dimensional compressible flow through the inlet and exhaust ports, the method estimates the instantaneous mass flowing in and out from the combustion chamber; later the residual gas fraction and trapping efficiency are estimated combining together the perfect displacement and perfect mixing scavenging models. It is assumed that when the intake port opens, the fresh mixture is pushing out the burned charge without any mixing and after a multiple of the time needed for the largest eddy to perform one rotation, the two gasses are instantly mixed up together and expelled. The result is a very simple algorithm that does not require much computational time and is able to estimate with high level of precision the trapping efficiency and the residual gas fraction in 2 stroke engines. The tuning and the validation of this algorithm are performed by measuring the trapping efficiency. These measurements are conducted with an innovative technique which consists in measuring the inlet and exhaust temperature, and calculation of the blow down temperature from the pressure trace. The model was tested using a mini high speed 2 stroke HCCI engine fuelled with diethyl ether between 10,800 and 19,000 [rpm].

Department/s

Publishing year

2008

Language

English

Publication/Series

SAE Technical Paper Series

Volume

2008-32-0003

Document type

Conference paper

Publisher

Society of Automotive Engineers

Topic

  • Other Mechanical Engineering

Keywords

  • Internal Combustion Engines
  • Two-Stroke

Conference name

Small Engine Technology Conference & Exposition, 2008

Conference date

2008-09-09 - 2008-09-11

Conference place

Milwaukee, Wisconsin, United States

Status

Published

Project

  • VIMPA

ISBN/ISSN/Other

  • ISSN: 0148-7191