Integrated AHP and WED Based Approach to Select Optimal Combination of Operating Parameters on Spark Ignition Engine

Author(s):  
Narayanan Kannaiyan Geetha ◽  
Bridjesh Pappula
2019 ◽  
Vol 35 (5) ◽  
pp. 1491-1499
Author(s):  
Narayanan Kannaiyan Geetha ◽  
Pappuula Bridjesh ◽  
Perumal Sekar

This study analyzes the influence of ethanol as gasoline blend on a spark ignition engine and a mathematical tool is proposed based on multi attribute decision making approach to select optimal combination of operating parameters of a variable compression ratio multi fuel engine considering objective, subjective and integrated weights of attributes. Test fuels used were ethanol-gasoline blends having ethanol in proportions of 10, 20, 30 and 40 vol %. The compression ratio was varied as 6, 7, 8 and 9. The load was varied as 25, 50, 75 and 100%. A series of 16 experiments were conducted by adopting Taguchi based design of experiments resulting in L16 orthogonal array. The result of proposed method shows that the combination of compression ratio 6, ethanol-gasoline blend 30 vol% at a load of 75% is found to the best choice from among other trails and was validated using graph theory matrix approach


2018 ◽  
Vol 19 (6) ◽  
pp. 463-467
Author(s):  
Krystian Hennek ◽  
Mariusz Graba

Paper discussed the influence of exhaust system leakage on the utility parameters and toxic combustion products emission of a turbocharged passenger car spark ignition engine. A comparative analysis of the data gathered in the research carried out using the MAHA MSR 500 single roller chassis dynamometer was conducted, where the exhaust system was sealed and leaking in the area of the wideband oxygen sensor mounting bracket. The presented data refers to among others: the emissions of harmful gasoline oxidation products (HC, CO), the courses of power generated by the engine and the momentary values of excess air ratio. The EUDC driving cycle was used in the research.


2015 ◽  
Vol 160 ◽  
pp. 746-760 ◽  
Author(s):  
Ocktaeck Lim ◽  
Nguyen Ba Hung ◽  
Seokyoung Oh ◽  
Gangchul Kim ◽  
Hanho Song ◽  
...  

Author(s):  
Jerald A. Caton

The second law of thermodynamics provides the mechanism for assessing the quality of energy. The non-conserved property used for this assessment is called exergy, availability or available energy. For the internal combustion engine, the exergy of the fuel is distributed among work, heat transfer, exhaust, and is destroyed by several processes. The major destruction of exergy for the internal combustion engine is during the combustion process. This paper documents this destruction for a wide range of engine operating parameters, design parameters, and fuels. A 5.7 liter, spark ignition, automotive engine was selected for this study. Operating parameters that were examined included equivalence ratio, speed, load and spark timing. Design parameters that were examined included compression ratio, expansion ratio and the use of turbocharging. Combustion parameters and oxidizer were examined as well. The fuels examined included isooctane (base), methane, propane, hexane, methanol, ethanol, hydrogen and carbon monoxide. For the part load base case (1400 rpm and a bmep of 325 kPa) using isooctane, the destruction of exergy was 21% of the fuel exergy. For many of the engine operating and design parameters, this destruction was relatively constant (between about 20 and 23%). The parameters that resulted in the greatest change of the exergy destruction were (1) exhaust gas recirculation, and (2) inlet oxygen concentration. In general, the amount of the destruction of exergy during the combustion processes was associated with the level of the combustion temperatures.


2021 ◽  
Vol 11 (3) ◽  
pp. 971
Author(s):  
Bruno Jeanneret ◽  
Alice Guille Des Buttes ◽  
Jérémy Pelluet ◽  
Alan Keromnes ◽  
Serge Pélissier ◽  
...  

This study presents a semi-empirical modeling approach based on an extensive parametric study using a spark-ignition port-injection engine. The experimental results are used to derive engine-out emission models for each regulated pollutant (CO, HC, NOx) as a function of engine operating parameters. Such parameters include engine speed, intake manifold pressure, equivalence ratio, and spark advance. The proposed models provide accurate predictions over a large range of engine operating conditions. The adequate accuracy and low computational burden of the models are promising in the context of optimal control theory. Dynamic programming is applied in order to find the best operating parameters that define trade-off between fuel consumption and emissions over driving cycles.


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