Performance optimization of diesel engine fueled with diesel–jatropha curcas biodiesel blend using response surface methodology

2017 ◽  
Vol 31 (8) ◽  
pp. 4051-4059 ◽  
Author(s):  
Huaping Xu ◽  
Bifeng Yin ◽  
Shengji Liu ◽  
Hekun Jia
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Jatropha Curcas ◽  
Performance Optimization ◽  
Biodiesel Blend ◽  
Jatropha Curcas Biodiesel

RETRACTED: Production of polanga methyl esters and optimization of diesel engine parameters through response surface methodology approach

2019 ◽  
Vol 121 ◽  
pp. 94-102 ◽  
Author(s):  
Abhishek Sharma ◽  
Yashvir Singh ◽  
Gyanendra Kumar Singh ◽  
Abrham Talargie Habte ◽  
Nishant Singh
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Methyl Esters

Multi-Performance Optimization in Friction Stir Welding of Aluminum Alloy Using Response Surface Methodology

2018 ◽  
pp. 240-263
Author(s):  
Rajat Gupta ◽  
Kamal Kumar ◽  
Neeraj Sharma
Keyword(s):  
Response Surface Methodology ◽  
Aluminum Alloy ◽  
Friction Stir Welding ◽  
Response Surface ◽  
Process Parameters ◽  
Performance Optimization ◽  
Desirability Function ◽  
High Carbon Steel ◽  
Friction Stir ◽  
Tool Shoulder

This chapter presents the friction stir welding (FSW) of aluminum alloy AA-5083-O using vertical milling machine. In present FSW experimentation, effects of different process parameter namely tool rotation speed, welding speed, tool geometry, and tool shoulder diameter have been determined on welding quality of two pieces of AA-5083-O using response surface methodology (RSM). The optimal sets of process parameters have been determined for weld quality characteristics namely tensile strength (UTS) and percentage elongation (%EL). In present experimentations, a specially designed tool made of high carbon steel with different shoulder diameters (15mm, 17.5mm, and 20 mm) having constant pin length (6 mm) were used for FSW of two pieces of aluminum alloy. The ANOVA and pooled ANOVA were used to study the effect of FSW parameters on UTS and %EL. Multi response optimization has been carried out using desirability function in conjunction with RSM to obtain the optimal setting of process parameters for higher UTS and lower %EL.

Thermal performance optimization of heat pipe using nanofluid: response surface methodology

2020 ◽  
Vol 42 (11) ◽  
Author(s):  
Naveen Kumar Gupta ◽  
Abhishek Sharma ◽  
Pushpendra Kumar Singh Rathore ◽  
Sujit Kumar Verma
Keyword(s):  
Response Surface Methodology ◽  
Heat Pipe ◽  
Response Surface ◽  
Thermal Performance ◽  
Performance Optimization

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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