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http://dx.doi.org/10.5916/jkosme.2016.40.9.733

Study on the simulation of a spark ignition engine using BOOST  

Jeong, Chang-Sik (Consolidated Maintenance Depot, Army)
Woo, Seok-Keun (GPC Co. Ltd.)
Ryu, Soon-Pil (Industrial-Academy Cooperation, Changwon National University)
Yoon, Keon-Sik (School of Industrial Engineering and Naval Architecture, Changwon National University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.40, no.9, 2016 , pp. 733-742 More about this Journal
Abstract
In recent years, gas engines fueled with LNG or synthetic gas have been attracting considerable attention for marine use owing to their potential to facilitate better fuel economy and to reduce emissions. It has been confirmed that gas engines using the Otto cycle, which involves premixed combustion, can satisfy Tier III regulations without the EGR or SCR system. The objective of this study is to acquire simulation technologies for predicting gas engine performances in industrial fields. Using the commercial software BOOST, the simulation is conducted on a gasoline engine rather than a marine engine due to the gasoline engine's easier accessibility. This study consists of two stages. In the first stage published previously, the optimal modeling techniques for representing the behavior of the gas in the intake and exhaust systems were determined. In the current study, we formulated a method to evaluate the combustion and heat transfer processes in the cylinder and to ultimately determine the major performance parameters, given that the analytical model derived from the previous stage has been applied. Through this study, we were able to determine a combustion and heat transfer model and a valve discharge coefficient that are less reliant on empirical data: we were also able to formulate a methodology through which relevant constants are decided. We confirmed that the values of transient cylinder pressure variation, indicated mean effective pressure, and air supply can be successfully predicted using our modeling techniques.
Keywords
Gas engine; Otto cycle; BOOST; Simulation; Performance prediction;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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