Multi-Objective Optimization on Vibration and Noise Characteristics of Light Duty Biofuel Powered Engine at Idling Condition Using Response Surface Methodology

2020 ◽  
Vol 143 (4) ◽  
Author(s):  
B. Ashok ◽  
A. K. Jeevanantham ◽  
K. Prabhu ◽  
Pratik M. Shirude ◽  
Datta D. Shinde ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Engine Speed ◽  
Injection Pressure ◽  
Noise Measurement ◽  
Passenger Comfort ◽  
Lemon Peel ◽  
Lemon Peel Oil ◽  
Peel Oil

Abstract Lemon peel oil (LPO) is a promising alternative biofuel for diesel engine applications due to its favorable physical and chemical properties. This study deals with combustion, vibration, and noise measurement for diesel engine powered with biofuel blend in the perspective of passenger comfort at engine idle condition. Experimentation is performed using a 20% blend of lemon peel oil with diesel (B20) according to central composite design (CCD) by varying pilot mass (PM), pilot injection timing (PIT), injection pressure, and engine speed (ES). Vibrations at engine crankcase, cylinder head were measured with a triaxial accelerometer along with noise measurement. The output responses for diesel and B20 were compared based on the output from response surface methodology (RSM). The study observed that predominant vibrations at the crankcase level along the lateral direction of the engine influenced by fuel injection pressure (FIP) and engine speed for both test fuels. Engine head vibrations were maximum along with the reciprocating motion of piston for both test fuels and found 7.43% more in case diesel. Engine noise is comparable from both test conditions irrespective of different influencing parameters. An increment of 1.662 J/deg in the heat release rate (HRR) of B20 is observed attributed to a longer ignition delay of B20 fuel. This study concludes that the lemon peel oil blend is compatible to use as an alternate biofuel in a diesel engine with suitable damping techniques for better passenger comfort.

Performance, emission and combustion characteristics of the diesel engine powered by the nano emulsion of the lemon peel oil biodiesel

2020 ◽  
Author(s):  
Kumarasubramanian Ramar ◽  
Yuvaraja Subramani ◽  
Karthikeyan Paramasivam ◽  
Jayaprabakar Jayaraman ◽  
P. Krishnakanth ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Combustion Characteristics ◽  
Lemon Peel ◽  
Nano Emulsion ◽  
Lemon Peel Oil ◽  
Peel Oil

Mitigation of NOx and smoke emissions in a diesel engine using novel emulsified lemon peel oil biofuel

2018 ◽  
Vol 25 (25) ◽  
pp. 25098-25114 ◽  
Author(s):  
Ashok Bragadeshwaran ◽  
Nanthagopal Kasianantham ◽  
Saravanan Balusamy ◽  
SenthilKumar Muniappan ◽  
Dandu Madhu Sudan Reddy ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Lemon Peel ◽  
Lemon Peel Oil ◽  
Peel Oil

Lemon peel oil – A novel renewable alternative energy source for diesel engine

2017 ◽  
Vol 139 ◽  
pp. 110-121 ◽  
Author(s):  
B. Ashok ◽  
R. Thundil Karuppa Raj ◽  
K. Nanthagopal ◽  
Rahul Krishnan ◽  
Rayapati Subbarao
Keyword(s):  
Energy Source ◽  
Diesel Engine ◽  
Alternative Energy ◽  
Alternative Energy Source ◽  
Lemon Peel ◽  
Lemon Peel Oil ◽  
Peel Oil

Performance Analysis of Diesel Engine Using Bio Ethanol (Water Hyacinth) by Response Surface Methodology (RSM)

2015 ◽  
Vol 737 ◽  
pp. 53-59
Author(s):  
Akhilesh Kumar Choudhary ◽  
H. Chelladurai ◽  
C. Kannan
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Water Hyacinth ◽  
Alternative Fuels ◽  
Fuel Injection ◽  
Engine Performance ◽  
Injection Pressure ◽  
Performance And Emission ◽  
Brake Mean Effective Pressure

In current years, many researches have been worked to find new sources of alternative fuels. In this situation, the water hyacinth will be a new source for bioethanol. In this study, bioethanol extracted from water hyacinth is blended with diesel (5-BED, 5% bioethanol and 95% diesel v/v) and has been used to experimentally investigate the diesel engine performance and emission. The response surface methodology (RSM) technique with three engine operating variables like (i) Load, (ii) Compression ratio (CR) and (iii) Fuel Injection pressure (FIP) has been implemented to evaluate diesel engine performance using bioethanol diesel blend. The equations were obtained for Brake power (BP), Brake mean effective pressure (BMEP), Brake thermal efficiency (BTHE), and NO emission by using quadratic polynomial

Exhaust gas recirculation effect on the performance of a CRDI diesel engine fuelled with linseed biodiesel/diesel blend through response surface methodology

2021 ◽  
pp. 095440622110263
Author(s):  
Varun Kumar Singh ◽  
Naushad Ahmad Ansari ◽  
Abhishek Sharma ◽  
Samsher Gautam ◽  
Manish Kumar ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Fuel Injection ◽  
Linseed Oil ◽  
Injection Pressure ◽  
Exhaust Gas Recirculation ◽  
Exhaust Gas ◽  
Oxides Of Nitrogen ◽  
Gas Recirculation

Biodiesel such as linseed oil can be derived from the feedstock of vegetables without disturbing supplies of food and the ecosystem. An experimental and comparative analysis was carried out to explore the effect of exhaust gas recirculation (EGR) and fuel injection pressure (FIP) on the emissions and efficiency of a CRDI diesel engine fuelled with linseed biodiesel/diesel blend. The engine characteristics were calculated using variable EGR (up to 14%) and adjustment of the injection pressure (up to 600 bar) under various load conditions. Multiple regression models were generated to evaluate responses such as Carbon monoxide (CO), Oxides of Nitrogen (NOx), hydrocarbon (HC), Brake power (BP), and Brake thermal efficiency (BTE) using response surface methodology (RSM). For all blends, a combination of FIP and EGR was employed and their impact was evaluated by plotting response surface contour. In RSM, the desirability approach is used to maximize the performance and minimize the emissions parameters of the engine. Linseed/diesel blend ratio 18.3%, FIP 576.76 bar, EGR 7.07%, and load 5.76 kg were estimated to be optimum for the tested engine. From this methodology, it was found that the optimal value of BTE, BP, HC, NOx, and CO is 19.55%, 1.758 kW, 16.7534 ppm, 505.56 ppm, and 0.0676% respectively.

Application of Taguchi and response surface methodology approach to a sustainable model developed for a compression-ignition engine using polanga biodiesel/diesel blends

2020 ◽  
pp. 095965182096530
Author(s):  
Abhishek Sharma ◽  
Yashvir Singh ◽  
Avdhesh Tyagi ◽  
Nishant Kumar Singh ◽  
Amneesh Singla
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Fossil Fuels ◽  
Fuel Injection ◽  
Injection Pressure ◽  
Biodiesel Fuel ◽  
Injection Timing ◽  
Compression Ignition Engine ◽  
Performance And Emission

The exhaustive and irresponsible use of fossil fuels has created numerous public and environmental health issues in the past few decades. To address this issue, this work has investigated the use of polanga ( Calophyllum inophyllum) biodiesel/diesel blends in a diesel engine. This study focuses primarily on the optimization of performance and emission characteristics of a diesel engine fuelled with polanga-based biodiesel blends. The engine input factors were also investigated for desired optimal thermal performance. In this study, four input parameters, namely, engine loads, blends of polanga-based biodiesel, fuel injection pressure, and fuel injection timing were chosen for analysis. The corresponding engine output responses, namely, brake thermal efficiency, CO, NOx, and smoke emissions, are selected for their optimization by Taguchi method and response surface methodology. The results show that the best setting of above-mentioned input factors is reported at 44% engine load, 13% mixing of polanga biodiesel with diesel, 180 bar injection pressure of fuel, and 21.5 °bTDC injection timing of fuel. The comparison between results obtained by the optimization process and experimental results showed that the deviations were always found to be within the acceptable range of errors.

Sign in / Sign up

Export Citation Format

Share Document