Open AccessSingle Parameter Engine Analysis and Performance Optimization of a Medium Duty Gasoline Engine
Author(s) -
Mohd Faisal Hushim,
Zamri Noranai,
Daniel Lau Yan How,
Zainul Ameerul Ikhsan Zainul Abidin,
Mohd Azahari Razali,
Azwan Sapit,
Akmal Nizam Mohamed
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/824/1/012003
Subject(s) - automotive engineering , torque , cylinder , petrol engine , crank , engine power , power (physics) , naturally aspirated engine , brake , computer science , simulation , mechanical engineering , engineering , physics , exhaust gas recirculation , internal combustion engine , thermodynamics
This paper examines various attempts to impose a single parameter analysis on the effect of intake valve opening (IVO) timings and intake runner length (IRL) technologies on the engine performance output at full load condition through an engine model representing 1.6 liter in-line 4 cylinders, 4-stroke SI engine constructed using GT-Power simulation software which is then simulated and correlated to the CAMPRO 1.6L model constructed previously with an updated crank train geometry such as cylinder stroke length and the connecting-rod length (con-rod) where comparison results of Volumetric Efficiency (VE), Brake Power (BP-kW), Brake Torque (BT-Nm) are carried out to maintain the accuracy and validity of the model to be used. This model is then used to simulate the engine performance under different sets of intake runner length (IRL) and difference sets of intake valve opening (IVO) timings. The various sets of IRL and IVO are then configured to correspond with each other to predict the most suitable optimization setups at targeted engine speeds, ranging from 2000-4000 RPM in this research to eliminate the existence of performance dip for better cycle efficiency. Results shown significant improvement through the different IVO timings and different IRL setups, as compared to the stock settings