Prediction and optimization of CI engine performance fuelled with Calophyllum inophyllum diesel blend using response surface methodology (RSM)

2018 ◽  
Vol 25 (25) ◽  
pp. 24829-24844 ◽  
Author(s):  
Paramaguru Venugopal ◽  
Ramesh Kasimani ◽  
Suresh Chinnasamy
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Engine Performance ◽  
Calophyllum Inophyllum ◽  
Ci Engine

scholarly journals The Combined Effect of Alcohols and Calophyllum inophyllum Biodiesel Using Response Surface Methodology Optimization

2021 ◽  
Vol 13 (13) ◽  
pp. 7345
Author(s):  
Mohammed Aneeque ◽  
Saad Alshahrani ◽  
Mohammed Kareemullah ◽  
Asif Afzal ◽  
Ahamed Saleel C. ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Thermal Efficiency ◽  
Engine Performance ◽  
Optimization Approach ◽  
Calophyllum Inophyllum ◽  
Emission Profile ◽  
Rsm Optimization ◽  
Biodiesel Blend ◽  
The Impact

In this experimental study, the performance of the diesel engine was analyzed for biodiesel derived from Calophyllum inophyllum. The impact of the addition of additives such as N-octanol and N-butanol with Calophyllum inophyllum biodiesel has been assessed. Impact of the application of hybrid N-octanol and N-Butanol with biodiesel on emission profile used for the engine performance has also been demonstrated. Response surface analysis of alcohol additives-biodiesel blend was performed separately in this study for the engine efficiency and emission profile. A combination of N-octanol and N-Butanol presented the highest brake thermal efficiency (BTE) and lowest carbon monoxide (CO) emission among the ternary blends of octanol. N-Butanol-biodiesel blend presented the lowest hydrocarbon (HC) emission among the blends of N-butanol. N-Octanol with 5 and 10% addition with biodiesel showed the lowest HC emissions among the blends of octanol. The response surface methodology (RSM) optimization revealed that the optimized thermal efficiency and emission were obtained at full load and minimum load, respectively. The addition of N-octanol hindered the emission at all loads, while N-butanol reduced it at higher loads. A strong correlation between the load and alcohol additives on the engine performance and emission profile has been obtained using the RSM optimization approach. The R-squared value obtained from the RSM was 0.92 and emission profile has been characterized.

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.

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