. . 2556 16-18 2556 Relative Air / Fuel ratio analysis of LPG Engine 1 * 2 3 1,2 3 *E-mail: [email protected]Wisut Sueparn 1* Yanphinit Wachirasurong 2 Phusit Chotswasd 3 1,2 Faculty of Engineering, Thonburi University, Bangkok 3 Faculty of Engineering and Architecture, Raja mangala University of Technology Suvarnabhumi, Nonthaburi *E-mail: [email protected](Back Fire) Abstract This research study analyzes the air to fuel ratio of t he engine relatively gas LPG. Adjust air to fuel ratio relatively incorrectly can cause more waste than gas oline and may cause danger of fire back (Back Fire) is a full installation of the garage in general tend to feel. refinement ratio of air to fuel the engine makes relatively no certainty. The garage standard gas inst allation. LPG is no research data that indicates the air fuel ratio relatively appropriate. Keywords: air to fuel ratio, Back Fire, gas LPG 1. 3 ( 36.88 12.7 ) (Back Fire)
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Relative Air / Fuel ratio analysis of LPG EngineRelative Air / Fuel ratio analysis of LPG Engine 1* 2 3 1,2 3 *E-mail: [email protected] Wisut Sueparn1* Yanphinit Wachirasurong2
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This research study analyzes the air to fuel ratio of the engine relatively gas LPG. Adjust air to fuel ratio
relatively incorrectly can cause more waste than gasoline and may cause danger of fire back (Back Fire) is a full installation of the garage in general tend to feel. refinement ratio of air to fuel the engine makes
relatively no certainty. The garage standard gas installation. LPG is no research data that indicates the
air fuel ratio relatively appropriate. Keywords: air to fuel ratio, Back Fire, gas LPG
According to our research about water process, we found that pressure can be used to determine the
amount of water .So the objective of this study was to find the optimum pressure. The study was initiated by finding the influencing factors .There were four factors of particular interest, these were temperature,
pressure, Time and Humidity. These factors were studied in detail by using quadratic regression model to find the mathematical equation. We then find the optimum pressure by solver. The result was shown that
the regression model had coefficient of determination (R-squared) 97.8 percent and we concluded that
temperature has the main affect. The pressure used for calculation pressure corresponding was different from the old pressure. In the water distribution process we had to use temperature included with
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pressure trend curve too for reducing blasting in the system and increasing efficiency for water distribution.