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Development of Predictive Gasoline Direct Fuel Injector Model for Improved In-cylinder Combustion Characterization

Mandokhot, Mohit Atul
http://orcid.org/0000-0001-7749-9346
http://rave.ohiolink.edu/etdc/view?acc_num=osu1534517269503352

Abstract Details

2018, Master of Science, Ohio State University, Mechanical Engineering.
Gasoline direct fuel injection systems have gained importance due to the increasing level of emissions regulation on SI combustion systems. Direct fuel injection delivery to cylinder provides better atomization and fuel mixing performance, enabling homogeneous mixture and better in-cylinder combustion. Increasing focus over the last few decades has been on better characterization of such gasoline direct fuel injection systems. Solenoid powered injectors act as actuators and enable accurate fuel delivery into the cylinder for a combustion event. Characterization of injector’s fuel delivery performance is an important aspect of achieving improved in-cylinder combustion performance. The objective of the current thesis is to develop a numerical physics based fuel injector model that provides a reliable prediction of flow rate and needle lift, in order to be used to improve in-cylinder combustion performance using 3D CFD model methodology. The developed model provides a reliable estimate of flow rate of developed injector, which is experimentally verified against instantaneous flow rate data provided by typical suppliers. In cases where inadequate prediction performance was noted, the errors arise out of lack of high fidelity electromagnetic modeling data, damping characteristics inside model and lack of geometry data to capture performance of highest accuracy.
Shawn Midlam-Mohler, Prof. (Advisor)
Giorgio Rizzoni, Prof. (Committee Member)
129 p.
Mechanical Engineering
Gasoline Direct Injector, 1D, 3D, Combustion, Fuel Injector, Simulation, Direct Fuel Injection

Recommended Citations

Citations

  • Mandokhot, M. A. (2018). Development of Predictive Gasoline Direct Fuel Injector Model for Improved In-cylinder Combustion Characterization [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1534517269503352

    APA Style (7th edition)

  • Mandokhot, Mohit Atul. Development of Predictive Gasoline Direct Fuel Injector Model for Improved In-cylinder Combustion Characterization. 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1534517269503352.

    MLA Style (8th edition)

  • Mandokhot, Mohit Atul. "Development of Predictive Gasoline Direct Fuel Injector Model for Improved In-cylinder Combustion Characterization." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1534517269503352

    Chicago Manual of Style (17th edition)

osu1534517269503352
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This open access ETD is published by The Ohio State University and OhioLINK.