Response surface methodology based prediction of engine performance and exhaust emissions of a diesel engine fuelled with canola oil methyl ester

2013 ◽  
Vol 5 (3) ◽  
pp. 033132 ◽  
Author(s):  
Erol Ileri ◽  
Aslan Deniz Karaoglan ◽  
Alpaslan Atmanli
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Methyl Ester ◽  
Response Surface ◽  
Canola Oil ◽  
Engine Performance ◽  
Exhaust Emissions

Predicting the Engine Performance and Exhaust Emissions of a Diesel Engine Fueled With Hazelnut Oil Methyl Ester: The Performance Comparison of Response Surface Methodology and LSSVM

2016 ◽  
Vol 138 (5) ◽  
Author(s):  
Nadir Yilmaz ◽  
Erol Ileri ◽  
Alpaslan Atmanlı ◽  
A. Deniz Karaoglan ◽  
Umut Okkan ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Methyl Ester ◽  
Response Surface ◽  
Fuel Injection ◽  
Engine Performance ◽  
Experimental Results ◽  
Hazelnut Oil ◽  
Injection Timing ◽  
Fuel Injection Timing

An experimental investigation was conducted to evaluate the suitability of hazelnut oil methyl ester (HOME) for engine performance and exhaust emissions responses of a turbocharged direct injection (TDI) diesel engine. HOME was tested at full load with various engine speeds by changing fuel injection timing (12, 15, and 18 deg CA) in a TDI diesel engine. Response surface methodology (RSM) and least-squares support vector machine (LSSVM) were used for modeling the relations between the engine performance and exhaust emission parameters, which are the measured responses and factors such as fuel injection timing (t) and engine speed (n) parameters as the controllable input variables. For this purpose, RSM and LSSVM models from experimental results were constructed for each response, namely, brake power, brake-specific fuel consumption (BSFC), brake thermal efficiency (BTE), exhaust gas temperature (EGT), oxides of nitrogen (NOx), carbon dioxide (CO2), carbon monoxide (CO), and smoke opacity (N), which are affected by the factors t and n. The results of RSM and LSSVM were compared with the observed experimental results. These results showed that RSM and LSSVM were effective modeling methods with high accuracy for these types of cases. Also, the prediction performance of LSSVM was slightly better than that of RSM.

Parameter optimization of a diesel engine to reduce noise, fuel consumption, and exhaust emissions using response surface methodology

2005 ◽  
Vol 219 (10) ◽  
pp. 1181-1192 ◽  
Author(s):  
Z Win ◽  
R P Gakkhar ◽  
S C Jain ◽  
M Bhattacharya
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Fuel Consumption ◽  
Parameter Optimization ◽  
Direct Injection ◽  
Engine Performance ◽  
Optimization Techniques ◽  
Injection Timing ◽  
Test Engine

The conflicting effects of the operating parameters and the injection parameter (injection timing) on engine performance and environmental pollution factors is studied in this paper. As an optimization objective, a 3.5 kW small direct injection diesel engine was used as the test engine, and its speed, load, and static injection timing were varied as per 4 × 4 × 3 full factorial design array. Radiated engine noise, smoke level, brake specific fuel consumption, and emissions of unburned hydrocarbons and nitrogen oxides were captured for all test runs. Objective functions relating input and output parameters were obtained using response surface methodology (RSM). Parameter optimization was carried out to control output responses under their mean limit using multi-objective goal programming and minimax programming optimization techniques.

scholarly journals Monitoring Exhaust Emissions of A Direct Injection Diesel Engine Fueled With Linseed Oil Biodiesel - Hydrogen Dual Fuel

2021 ◽  
Vol 10 (6) ◽  
pp. 42-49
Author(s):  
Udaya Sri K. ◽  
B S N Murthy ◽  
N. Mohan Rao
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Methyl Ester ◽  
Linseed Oil ◽  
Direct Injection ◽  
Exhaust Emissions ◽  
Analytical Investigation ◽  
Dual Fuel ◽  
Load Spectrum ◽  
Crank Angle

This study presents an experimental and analytical investigation on the effects of using methyl ester of linseed oil (MELO)-diesel blend of B10, B20, and B30 with hydrogen injection of 5%, 10%, and 15% in a VCR (Variable Compression Ratio) diesel engine, operated with the compression ratios (CRs) of 15, 16, 17, and 18 on DFM (duel fuel mode). This study also gives emphasis on the optimized emissions of CO, CO2 , NO, and smoke, when the engine was operated with MELO-diesel blends, and hydrogen injections with the variation in engine load, crank angle (CA), using response surface methodology (RSM) with the help of MINITAB programming. During the analysis it was observed that the emissions of CO, CO2 , O2 , NO, and smoke were found to be a function of biodiesel blends, compression ratios, load, and percentage of hydrogen injection. The research results report that, the dual fuel mode of diesel MELO 20% blend with hydrogen injection of about 10% gave optimized results in terms of performance and exhaust emissions, while the optimized CR was 17. The engine was smoothly operated with B20-H10-CR17 over lower emissions compared to diesel, throughout the load spectrum.

scholarly journals The effect of karanja oil methyl ester on Kirloskar HA394DI diesel engine performance and exhaust emissions

2010 ◽  
Vol 14 (4) ◽  
pp. 957-964 ◽  
Author(s):  
Sharanappa Godiganur ◽  
Suryanarayana Murthy ◽  
Prathap Reddy
Keyword(s):  
Diesel Engine ◽  
Methyl Ester ◽  
Engine Performance ◽  
Exhaust Emissions ◽  
Karanja Oil
Sign in / Sign up

Export Citation Format

Share Document