Combustion and Exhaust Emission Characteristics by the Change of Intake Air Temperature in a Single Cylinder Diesel Engine

2017 ◽  
Vol 25 (3) ◽  
pp. 336-343 ◽  
Author(s):  
Dalho Shin ◽  
Suhan Park
Keyword(s):  
Diesel Engine ◽  
Air Temperature ◽  
Exhaust Emission ◽  
Emission Characteristics ◽  
Single Cylinder

scholarly journals Effect of Combustion Parameters on Performance, Combustion and Emission Characteristics of a Modified Small Single-Cylinder Diesel Engine

2020 ◽  
Vol 8 (5) ◽  
pp. 622-630 ◽  
Keyword(s):  
Diesel Engine ◽  
Compression Ratio ◽  
Injection Pressure ◽  
Injection System ◽  
Combustion Characteristic ◽  
Experimental Investigations ◽  
Exhaust Emission ◽  
Injection Timing ◽  
Emission Characteristics ◽  
Single Cylinder

This paper represents the relative performance of a small single-cylinder diesel engine having capacity 3.5 kW. This paper covers experimental investigations of most influencing combustion parameters such as compression ratio, injection pressure and start of injection timing and their values on performance, emission and combustion characteristic of the small single-cylinder CRDI diesel engine for which the mechanical fuel injection system retrofitted with a simple version of the CRDI system. CRDI has yielded good results for large diesel and petrol engines but still not incorporate for cheaper small single-cylinder engines, typically used in the agricultural sector and decentralized power sector for a country like India. It is observed that starts of injection timing and injection pressure are the key parameters for improving the combustion characteristics and therefore engine performance while compression ratio mainly affects the emission characteristics of the engine. Retrofitted CRDI system yielded improved exhaust emission and performance of the engine.

Effect of di ethyl ether on the performance and emission characteristics of a diesel engine using biodiesel–eucalyptus oil blends

RSC Advances ◽  
2015 ◽  
Vol 5 (67) ◽  
pp. 54019-54027 ◽  
Author(s):  
R. Senthil ◽  
E. Sivakumar ◽  
R. Silambarasan
Keyword(s):  
Diesel Engine ◽  
Ethyl Ether ◽  
Direct Injection ◽  
Exhaust Emission ◽  
Emission Characteristics ◽  
Single Cylinder ◽  
Performance And Emission ◽  
Direct Injection Diesel Engine ◽  
Eucalyptus Oil ◽  
Oil Blends

The performance and exhaust emission parameters of a single cylinder direct injection diesel engine using pongamia biodiesel (PB) and eucalyptus oil (Eu) were measured.

A Comparative Study of Artificial Intelligence Based Models to Predict Performance and Emission Characteristics of a Single Cylinder Diesel Engine Fueled With Diesosenol

2018 ◽  
Vol 10 (4) ◽  
Author(s):  
Subrata Bhowmik ◽  
Rajsekhar Panua ◽  
Subrata Kumar Ghosh ◽  
Durbadal Debroy ◽  
Abhishek Paul
Keyword(s):  
Artificial Intelligence ◽  
Diesel Engine ◽  
Comparative Study ◽  
Specific Energy Consumption ◽  
Exhaust Emission ◽  
Emission Characteristics ◽  
Inference System ◽  
Single Cylinder ◽  
Performance And Emission ◽  
Feed Forward Back Propagation

This study investigates the potential of oxygenated additive (ethanol) on adulterated diesel fuel on the performance and exhaust emission characteristics of a single cylinder diesel engine. Based on the engine experimental data, two artificial intelligence (AI) models, viz., artificial neural network (ANN) and adaptive-neuro fuzzy inference system (ANFIS), have been modeled for predicting brake thermal efficiency (Bth), brake specific energy consumption (BSEC), oxides of nitrogen (NOx), unburnt hydrocarbon (UBHC) and carbon monoxide (CO) with engine load (%), kerosene (vol %), and ethanol (vol %) as input parameters. Both the proposed AI models have the capacity for predicting input–output paradigms of diesel–kerosene–ethanol (diesosenol) blends with high accuracy. A (3–9–5) topology with Levenberg–Marquardt feed forward back propagation (trainlm) learning algorithm has been observed to be the ideal model for ANN. The comparative study of the two AI models demonstrated that ANFIS predicted results have higher accuracy than the ANN with a maximum RANFIS/RANN value of 1.000534.

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