Some Experimental Studies on effect of Exhaust-Gas Recirculation on Performance and Emission characteristics of a Compression-Ignition engine fuelled with Diesel and Lemon-peel oil Blends

Kumar, A. Naresh; Raju, K.; Kishore, P.S.; Narayana, Keerthi

doi:10.1016/j.matpr.2017.12.220

Cited by 11 publications

(14 citation statements)

References 17 publications

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“…CFFP (which varies from −10 to −40 • C) and the pour point (which varies from −39 to −58 • C) are the main low-temperature properties, and their increase ensures better fuel use in low-temperature surroundings. Since the cetane number (CN) is very important for the engine cold start, the higher value of CN allows the engine to start much easier [37]. Together with a better engine cold start feature, the value of CN has an influence on the combustion process-a higher CN results in a better fuel ignition in the engine's cylinder and a shorter ignition delay [13].…”

Section: Fuel Propertiesmentioning

confidence: 99%

“…Just one parameter (despite minor molecular bond type, spray characteristics, and few other changes) in practice, can compensate for energy loss in modified fuel. These changes there were as result from the presence of a lower density, and have a higher heat value [37]. This research includes an analogous situation when NexBTL, with lower density and a higher heating value, is gradually mixed with pure diesel fuel.…”

Section: Fuel Propertiesmentioning

confidence: 99%

See 1 more Smart Citation

Research on the Combustion, Energy and Emission Parameters of Various Concentration Blends of Hydrotreated Vegetable Oil Biofuel and Diesel Fuel in a Compression-Ignition Engine

et al. 2019

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This article presents our research results on the physical-chemical and direct injection diesel engine performance parameters when fueled by pure diesel fuel and retail hydrotreated vegetable oil (HVO). This fuel is called NexBTL by NESTE, and this renewable fuel blends with a diesel fuel known as Pro Diesel. A wide range of pure diesel fuel and NexBTL100 blends have been tested and analyzed: pure diesel fuel, pure NexBTL, NexBTL10, NexBTL20, NexBTL30, NexBTL40, NexBTL50, NexBTL70 and NexBTL85. The energy, pollution and in-cylinder parameters were analyzed under medium engine speed (n = 2000 and n = 2500 rpm) and brake torque load regimes (30–120 Nm). AVL BOOST software was used to analyze the heat release characteristics. The analysis of brake specific fuel consumption showed controversial results due to the lower density of NexBTL. The mass fuel consumption decreased by up to 4%, and the volumetric consumption increased by up to approximately 6%. At the same time, the brake thermal efficiency mainly increased by approximately 0.5–1.4%. CO, CO2, NOx, HC and SM were analyzed, and the change in CO was negligible when increasing NexBTL in the fuel blend. Higher SM reduction was achieved while increasing the percentage of NexBTL in the blends.

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Section: Fuel Propertiesmentioning

confidence: 99%

Section: Fuel Propertiesmentioning

confidence: 99%

Research on the Combustion, Energy and Emission Parameters of Various Concentration Blends of Hydrotreated Vegetable Oil Biofuel and Diesel Fuel in a Compression-Ignition Engine

et al. 2019

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“…Smoke, carbon monoxide and unburned hydrocarbon emissions showed significant reduction at all operating conditions while oxides of nitrogen was reduced at low injection pressure of lemon peel oil. Kumar et al [22] investigated the emissions profile of lemon peel oil methyl ester blends on CI engine. The study showed that carbon monoxide and unburned hydrocarbon increased with increase in percentage of exhaust gas recirculation, while oxides of nitrogen decreased at 10% EGR.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Emission Pattern of Compression Ignition Engines Fuelled With Blends of Orange Peel Oil Based Biodiesel Using Artificial Neural Network Model

Owora

2020

IJESNR

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It is well established that Orange peeled oil biodiesel (OPOB) is a suitable fuel in Compression Ignition (CI) engines because of its compatible physicochemical properties with diesel. Literature is however sparse on its emission characteristics in CI engines majorly because few investigations have been done due to seemingly difficult and time-consuming experiments. On this strength, this work first carried out experimental investigations on carbon monoxide (CO), unburned hydrocarbon (UHC), oxides of nitrogen (NOX) and smoke of orange peel oil based biodiesel in single cylinder, four stroke CI engine; and afterwards applied the power of artificial neural networks (ANNs) prediction model to predict to the full-scale CO, UHC, NOX, and SMOKE values of the CI engine. Brake load, orange oil-diesel mixture percentages and engine speed were the inputs of the ANN while Levenberg Marquardt (trainlm) and scaled conjugate gradient (trainscg) were the training algorithms to enable better comparative estimation. Performance indicators (correlation coefficient (R), mean absolute percentage error (MAPE) and root mean squared error (RMSE)) were used to compare the predicted and experimental values of the neural network. The ANN trained with Levenberg Marquardt algorithm predicted the emissions with highest accuracy (R very close to +1) and low error rates. The study concludes that ANN is a reliable tool to investigate the emissions profile of a CI engine.

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“…The brake thermal efficiency improved by 33.3% more than that of diesel. Kumar et al, [23] investigated the performance and emissions profiles of lemon peel oil methyl ester blends on CI engine. The brake thermal efficiency showed higher improvement.…”

Section: Introductionmentioning

confidence: 99%

“…subsequently, ANN models of multilayer perceptron (MLP) were developed and applied in predicting the performance characteristics using those experimental results. Among current estimation models used in performing data analysis, ANN possesses the best capabilities or qualities [23] and the multilayer perceptron (MLP) ANN structure is the most applied. Artificial neural network innovation was derived from the concept of human neurological system.…”

Section: Introductionmentioning

confidence: 99%

ANN Analysis of Injection Timing on Performance Characteristics of Compression Ignition Engines Running on the Blends of Tropical Almond Based Biodiesel

Fasogbon¹,

Laosebikan²,

Owora³

2019

AJME

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In the present work, biodiesel prepared from Tropical almond oil (Terminalia Catappa) was used as fuel in C. I engine. Performance studies were conducted on a single cylinder four-stroke water-cooled compression ignition engine. Experiments were conducted for different percentage of blends of Tropical almond ester with diesel at different injection timings. Experimental investigations on the performance parameters from the engine were done. Artificial neural network (ANN) of back-propagation feed-forward Levenberg-Marquardt algorithm was used to predict the performance characteristics of the engine. An ANN model was developed for the performance parameters. To train the network, blend percentage, percentage load and injection timings were used as the input variables whereas engine performance parameters (brake thermal efficiency, exhaust gas temperature, and brake specific fuel consumption) were used as the output variables. The obtained experimental results were used to train the network structure. Results showed very good correlation between the ANN predicted values and the desired values for various engine performance values. Mean relative error values were less than 10 percent which by many standards is acceptable. The results show that ANN is an accurately reliable tool for the prediction of engine performance.

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Some Experimental Studies on effect of Exhaust-Gas Recirculation on Performance and Emission characteristics of a Compression-Ignition engine fuelled with Diesel and Lemon-peel oil Blends

Cited by 11 publications

References 17 publications

Research on the Combustion, Energy and Emission Parameters of Various Concentration Blends of Hydrotreated Vegetable Oil Biofuel and Diesel Fuel in a Compression-Ignition Engine

Research on the Combustion, Energy and Emission Parameters of Various Concentration Blends of Hydrotreated Vegetable Oil Biofuel and Diesel Fuel in a Compression-Ignition Engine

Evaluation of Emission Pattern of Compression Ignition Engines Fuelled With Blends of Orange Peel Oil Based Biodiesel Using Artificial Neural Network Model

ANN Analysis of Injection Timing on Performance Characteristics of Compression Ignition Engines Running on the Blends of Tropical Almond Based Biodiesel

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