Artificial neural network-based prediction of performance and emission characteristics of CI engine using polanga as a biodiesel

The present work predicts the performance parameters, namely brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), peak pressure, exhaust gas temperature and exhaust emissions of a single cylinder four-stroke diesel engine at different injection timings and engine load using blended mixture of polanga biodiesel by artificial neural network (ANN). The properties of biodiesel produced from polanga were measured based on ASTM standards. Using some of the experimental data for training, an ANN model was developed based on standard back-propagation algorithm for the engine. Multi-layer perception network was used for non-linear mapping between input and output parameters. Different activation functions and several rules were used to assess the percentage error between the desired and the predicted values. It was observed that the developed ANN model can predict the engine performance and exhaust emissions quite well with correlation coefficient (R) 0.99946, 0.99968, 0.99988, 0.99967, 0.99899, 0.99941 and 0.99991 for the BSFC, BTE, peak pressure, exhaust gas temperature, NO_x, smoke and unburned hydrocarbon emissions, respectively. The experimental results revealed that the blended fuel provides better engine performance and improved emission characteristics.     

Artificial neural network approach to predict the engine performance of fish oil biodiesel with diethyl ether using back propagation algorithm

An artificial neural network (ANN) model is developed to predict the engine performance of fish oil biodiesel blended with diethyl ether. Engine performance and emission characteristics such as brake thermal efficiency, hydrocarbon, exhaust gas temperature, oxides of nitrogen (NO_x), carbon monoxide (CO), smoke and carbon dioxide (CO₂) were considered. Experimental investigations on single-cylinder, constant speed, direct injection diesel engine are carried out under variable load conditions. The performance and emission characteristics are measured using an exhaust gas analyser, smoke metre, piezoelectric pressure transducer and crank angle encoder for different fuel blends and engine load conditions. In this model, a back propagation algorithm is used to predict the performance. Computational results clearly demonstrated that the developed ANN models produced less deviations and exhibited higher predictive accuracy with acceptable determination correlation coefficients of 0.97–1 and mean relative error of 0–3.061% with experimental values. The root mean square errors were found to be low. The developed model produces the idealised results and it has been found to be useful for predicting the engine performance and emission characteristics with limited number of available data.     

Performance,emission and combustion characteristics of a single cylinder spark ignition engine using ethanol–petrol-blended fuels

The performance, exhaust emission and combustion analyses of a single cylinder spark ignition engine fuelled with extended range of ethanol–petrol blends were carried out successfully at full load conditions. Ethanol produced from raffia trunks was blended with petrol at different proportions by volume. In order to establish a baseline for comparison, the engine was first run on neat petrol. The engine performance parameters (engine torque, brake power, brake specific fuel consumption, brake mean effective pressure and brake thermal efficiency), exhaust emission parameters (CO, HC, CO₂ and O₂ emissions) and combustion parameters were determined for each blend of fuel at different engine speeds. The test results interestingly revealed that the addition of ethanol to petrol causes an improvement in combustion characteristics and significant reduction in exhaust emissions which in turn improved engine performance. In all, ethanol and its blends with petrol exhibited performance characteristics trends similar to that of petrol thus confirming them as suitable alternative fuels for spark ignition engines.     

Application of fuzzy logic in internal combustion engines to predict the engine performance

This paper describes an application of fuzzy logic principle for predicting the internal combustion engine performance, emission and combustion characteristics using fish oil biodiesel. Experimental investigations on a single cylinder, constant speed, direct injection diesel engine were carried out under variable load conditions. The performance, emission and combustion characteristics such as brake thermal efficiency, hydrocarbon, exhaust gas temperature, oxides of nitrogen (NO_x), carbon monoxide, smoke, carbon dioxide, ignition delay, combustion delay and maximum rate of pressure rise were considered. Engine performance was measured using an exhaust gas analyser, smoke metre, piezoelectric pressure transducer and crank angle encoder for different fuel blends and engine load conditions. The obtained data were recorded for each experiment and associated data used to develop a multiple inputs and multiple outputs fuzzy logic model. The developed model produced idealised results with the correlation coefficients of 0.988–0.999 and root mean square error, and was found to be useful for predicting the engine performance characteristics with limited number of available data.     

Influence of spark timing on the performance and emission characteristics of gasoline–hydrogen-blended high-speed spark-ignition engine

This article experimentally investigates the effect of spark timing on performance and emission characteristics of high-speed spark-ignition (SI) engine operated with different hydrogen–gasoline fuel blends. For this purpose, the conventional carbureted SI engine is modified into an electronically controllable engine, wherein an electronically controllable unit was used to control the ignition timings and injection duration of gasoline. The tests were conducted with different spark timings at the wide open throttle position and 3000 rpm engine speed. The experimental results demonstrated that brake mean effective pressure and engine brake thermal efficiency increased first and then decreased with the increase in spark advance. Peak cylinder pressure, temperature and heat release rate were increased until 20% hydrogen addition and with increased spark timings. NO_x emissions were continuously increased with the increment in both spark timings and hydrogen addition, whereas hydrocarbon emissions were increased with spark timings but decreased with hydrogen addition. CO emissions were reduced with the increase in spark timing and hydrogen addition.     

Optimisation of compression ignition engine performance with fishoil biodiesel using Taguchi-Fuzzy approach

Due to the increase in demand of energy, there is a steep rise in petroleum product, which led to the depletion of conventional energy. This gave rise to the need of biodiesel as an alternate for diesel fuel. This paper deals with the study of biodiesel blend's performance and different emission behaviour using the Taguchi and fuzzy logic method. Experimental investigations on a single cylinder constant speed direct injection diesel engine were carried out under two parameters: blend proportion and percentage load for six and five levels, respectively. As per this method, an L30 orthogonal array was used to collect data for 30 trials, which were experimented at different engine load and blend proportion. The optimisations are done on brake thermal efficiency, carbon monoxide (CO), carbon dioxide (CO₂), hydrocarbon (HC), oxides of nitrogen (NO_x), smoke, exhaust gas temperature, ignition delay, combustion delay and maximum rate of pressure rise. The signal-to-noise ratio was used for data analysis and the result is verified by the Fuzzy control system model with multi input multi output (MIMO) to predict the performance of engine. The developed model produced idealised results with the correlation coefficients of 0.897–0.998 and root mean square error and found to be useful for predicting the engine performance characteristics with limited number of available data.     

Experimental investigation of injection timing on the performance and exhaust emissions of a rubber seed oil blend fuel in constant speed diesel engine

An experimental study is conducted to evaluate the use of rubber seed oil with diesel at a proportion of 20% by volume (RSO20) in a constant speed (1500?rpm) direct injected four-stroke air-cooled single-cylinder compression ignition engine at different injection timings (24°, 27°, 30°, 33° bTDC (before top dead centre)). A series of tests were conducted at various engine load conditions at the rated power of 5.9?kW. The injection pressure was maintained at 200?bar. As a result of investigations, at the full load condition, the brake thermal efficiency of RSO20 at 30° bTDC is high compared with other injection timings and brake energy fuel consumption is increased when advancing injection timing. There is a significant reduction in unburned hydrocarbon emission and carbon monoxide emission, and the oxides of nitrogen emission (NO_x) is increased when advancing the injection timing.     

Experimental investigation of piston bowl geometry effects on performance and emissions characteristics of diesel engine at variable injection pressure and timings

For diesel engine piston shape, variable injection timings and injection pressures are main input parameters that give better diffusion-atomisation of fuels and high swirling induction that finally affects the engine performance and emissions. In this study, performance enhancement and exhaust emissions reduction was carried out with the help of design modification in piston bowl in a single-cylinder direct injection diesel engine. With the aim of increasing the combustion process at final stages of combustion period, piston bowl was modified to piston B (toroidal combustion chamber with tangential cut on circumference of the piston crown) and piston C (hemisphere combustion chamber with circular arc on circumference of the piston crown) from the standard piston A (hemispherical type combustion chamber). All the relevant factors such as engine speed, compression ratio and maximum diameter of bowl were kept constant. On comparing the results with baseline condition and for different bowl geometries, it was concluded that modified pistons (both B and C) are better as far as performance, combustion and emissions characteristics are concerned, with the exception of NO_x emissions. Significant improvement in depletion harmful particulates, carbon monoxide and unburned hydrocarbons is observed in different quantities.     

Performance,emission and combustion characteristics of an Indica diesel engine operated with Yellow Oleander (Thevetia peruviana) oil biodiesel produced through hydrodynamic cavitation method

The present work deals about the performance, emission and combustion characteristics of a four-cylinder, direct injection, water-cooled, Indica diesel engine fuelled with biodiesel produced through the hydrodynamic cavitation method from an underutilised and potential feedstock Yellow Oleander (Thevetia peruviana) oil. Engine tests were performed with neat diesel and biodiesel blends of 10%, 20% and 30% from Yellow Oleander oil at different engine speeds. Experimental results showed that biodiesel produced through the hydrodynamic cavitation technique with a 1%?w/w catalyst percentage, 6:1?molar ratio and 35?min reaction time was equal to 97.5%. During engine performance tests, biodiesel blends showed higher brake-specific fuel consumption, brake thermal efficiency (for lower blends up to 20%) and exhaust gas temperature than diesel fuel. Engine emissions showed higher nitrogen oxide, but a decreased amount of smoke opacity, carbon monoxide, unburned hydrocarbon and favourable p–θ diagram as compared to diesel.     

Influence of injection timing on engine performance,emission characteristics of Mimusops Elangi methyl ester

ABSTRACT

The improvement in engine performance and exhaust emissions reduction are the major important issues in developing a more efficient engine. The injection timing is one the major parameters that affect the engine performance and emissions for a diesel engine. The present work focused on characterising the in?uence of injection timing on engine performance and exhaust emissions. This has been critically investigated for B20?+?25?ppm (20% Mimusops Elangi methyl ester-80% diesel fuel?+?25?ppm of TiO₂ nanoparticle) additive as alternative fuel. The B20?+25 ppm TiO₂ nanoparticle additive produces more HC and CO emission, but reduce NO_X emission when injection timing is retarded. Advancement in injection timing for B20?+25?ppm TiO₂ nanoparticle additive results in an increase of brake thermal efficiency, decreases brake specific fuel consumption and giving out less HC, CO, smoke emissions but the marginal increase in the NO_X emission.     

Influence of modified pent roof combustion cavity on diesel engine performance and emission characteristics

The utmost vital role of the IC engine burning chamber is to offer correct mixing of air and fuel in a little time to lessen the ignition lag phase, which determines the quality of the combustion, performance and the exhaust emission characteristics. To attain this, a systematised air movement termed ‘air swirl’ is offered to create high comparative velocity amongst fuel droplets and air. In this work, the engine piston head is modified to a 6° angle at the crown part, and the engine performance and emission analysis are carried out. The modified piston promotes speedier mingling between the inducted air and injected fuel, which speeds up the combustion process. By modifying the combustion chamber, we obtained a very less amount of NO_x Emissions and a moderate amount of hydrocarbon and carbon monoxide emissions.     

Performance and emission characteristics of a low heat rejection engine using Nerium biodiesel and its blends

In the present study, the surface of cylinder head, piston, exhaust and inlet valves of a four stroke direct injection and single cylinder diesel engine has been coated with partially stabilised zirconia (PSZ) by the plasma spray method. The coated engine was tested with the neat diesel and methyl ester of neat Nerium oil. The performance and emission results were compared with the uncoated engine fuelled with diesel and methyl ester of Nerium oil (MEON). Specific fuel consumption of the PSZ-coated engine was lower at all loads, because of the insulation effect of coating and changes in combustion process due to coating. The brake thermal efficiency of PSZ-coated engine fuelled with MEON is 3.8% higher than uncoated engine fuelled with MEON. The emission for the PSZ-coated engine with diesel was improved compared with uncoated engine except NO_x.     

Artificial neural network,ANN-PSO and ANN-ICA for modelling the Stirling engine

Nowadays, shortage of fossil fuels resources, especially oil, and also global attention to environmental hazards produced by the internal combustion process have caused extensive researches on the development of renewable energy engine technology. Among all kinds of renewable resources, solar energy Stirling engines have their own special situation for energy generation with lower pollutants and sustainable sources. The Stirling engine is an external combustion engine that uses any external heat source to generate mechanical power. Various parameters affect the performance of the Stirling engine. In this study, artificial neural network (ANN) was applied to estimate the power and torque values obtained from a Stirling heat engine (Philips M102C engine). It employs the Levenberg–Marquardt algorithm for training ANN with back propagation network for estimating the power and torque of the Stirling heat engine. The performances of the imperialist competitive algorithm (ICA)-ANN and ANN-particle swarm optimisation (PSO) are compared with the performance of the ANN based on mean square error (MSE) and correlation coefficient. PSO and ICAs are applied to determine the initial weights of the neural network. The obtained results indicate that ANN-PSO has a better performance than ICA-ANN and ANN alone; also the MSE for the ANN-PSO is lower as well. Considering the results obtained from this study, there is very good agreement between the output of the testing phase of the ANN-PSO model with experimental data and they are very close to each other.     

Design and analysis of exhaust manifold of the spark ignition engine for emission reduction

ABSTRACT

The design geometry of exhaust manifold plays a vital role in smooth combustion and emission reduction of the spark ignition engine. In this work, by analysing and comparing the exhaust gas back pressures and its velocities of different types of manifold models chosen at different operating load conditions of the engine, the best exhaust manifold of model 5 has been found and recommended to use in the multi-cylinder engine to control the engine emission and protect the environment. The analysis is done with a virtual model of manifold. Modelling and analysis of exhaust manifold are carried out by CATIA v5 and ANSYS software.     

Reduction in the exhaust emissions of four-stroke multi-cylinder SI Engine on application of multiple pairs of magnets

Static magnetic field produced by permanent magnets applied to the fuel lines of internal combustion engines reduces viscosity of fuel, leading to better atomisation and improved carburetion, which enhances the combustion of the fuel and performance of the engine. Increased combustion reduces HC (hydrocarbon) and CO (carbon monoxide) % emitted from exhaust. Experiments in present work emphasise the effect of use of multiple pairs of permanent magnets of 3000 gauss intensity each, installed to the fuel line of four-stroke SI engine. It is evident from experiments that with increasing number of pairs of magnet lead to decrease in emissions. Results validate the impact of magnetic field strength on emissions from exhaust. Experimental results show that with application of magnetic flux to the fuel at constant load of 2?kg, there is 17.46% reduction in CO emissions, 18.048% reduction in HC and 1.118% increase in CO₂ from the exhaust on the use of 5 pairs of magnets.     

Effects of hydrocarbon fuel extracted from waste transformer oil on a DI diesel engine

In this study, hydrocarbon fuel (HCF) was derived from waste transformer oil through a traditional base-catalysed trans-esterification process. The experimental investigations using its blends of 25%, 50%, 75%, 100% and diesel fuel were carried out separately. The HCF obtained from waste transformer oil is used in a direct injection (DI) diesel engine without any engine modification to evaluate its performance, emission and combustion characteristics. The results indicate that the engine operating on test fuel blends shows a marginal increase in brake thermal efficiency (BTE) with a significant reduction in smoke. Nitrous oxides (NO_x) emission was slightly higher for test fuel blends than for diesel. The results show that at maximum load conditions, 25% HCF reduces carbon monoxide, smoke and hydrocarbon emission by 50%, 31% and 10%, respectively, whereas 50% HCF shows a greater BTE than other blends and is 12% higher than that of the diesel fuel. The combustion characteristics of fuel blends closely followed those of standard diesel.     

Numerical and experimental investigations on a dual fuel HCCI engine by using ethanol as primary fuel and diesel as secondary fuel for NOX reduction and better performance

ABSTRACT

Achieving the new emission norms is a difficult task to today’s compression ignition (CI) engine without any exhaust gas after-treatment technologies. It is necessary to find the practical method which reduces the unsafe emission, with minor modifications of the CI engine. Dual fuel homogeneous charge compression ignition (HCCI) engine has been recognised as one of the solutions to minimise the emissions and achieve higher performance. In the present study the dual fuel HCCI engine mode of operation carried out by supply of ethanol fuel-air mixture to the engine cylinder through the carburetor and diesel fuel is directly injected at the end of compression for the initiation of ignition. Dual fuel HCCI engine is one of the most promising engines suitable for alternative fuels and lower NO_X emissions. An experimental investigation is carried out on dual fuel HCCI engine. Fuel consumption and exhaust emissions such as NO_X, CO₂, CO, HC are measured and compared with conventional CI engine. The results show that NO_X emission tends to decrease at low and moderate loads of the engine, but at full load condition it is slightly higher. Further, thermal efficiency is calculated and compared in CI engine; it is observed that there is a slight improvement in thermal efficiency at high load operation. In the dual fuel HCCI engine mode, there is a provision to use of ethanol or any other alternate fuel for better energy efficiencies and low NO_X emission.     

Investigation on the gaseous and particulate emissions of a compression ignition engine fueled with diesel-dimethyl carbonate blends

The effect of dimethyl carbonate (DMC) on the gaseous and particulate emissions of a diesel engine was investigated using Euro V diesel fuel blended with different proportions of DMC. Combustion analysis shows that, with the blended fuel, the ignition delay and the heat release rate in the premixed combustion phase increase, while the total combustion duration and the fuel consumed in the diffusion combustion phase decrease. Compared with diesel fuel, with an increase of DMC in the blended fuel, the brake thermal efficiency is slightly improved but the brake specific fuel consumption increases. On the emission side, CO increases significantly at low engine load but decreases at high engine load while HC decreases slightly. NO_x reduces slightly but the reduction is not statistically significant, while NO₂ increases slightly. Particulate mass and number concentrations decrease upon using the blended fuel while the geometric mean diameter of the particles shifts towards smaller size. Overall speaking, diesel-DMC blends lead to significant improvement in particulate emissions while the impact on CO, HC and NO_x emissions is small.     

Effect of injection pressure on the performance and emission characteristics of the CI engine using Vateria indica biodiesel

Vateria indica Linn seeds were found to contain nearly 19% of oil/fat content. This fat is converted into biodiesel by a novel method by the authors at the biodiesel preparation facility at NITK, Surathkal, India. As biodiesel is a promising alternative fuel for petro diesel in compression ignition (CI) engines, this biofuel is tested in a single-cylinder diesel engine. The objective of this work is to find combustion, performance and emission characteristics of a CI engine with diesel and blends of V. indica biodiesel at 180, 200 and 220?bar injection pressures. Blending is done in volumetric ratios of 10%, 15%, 20% and 25% of biodiesel with diesel which are called as B10, B15, B20 and B25. The idea of increasing fuel injection pressure is to promote atomisation and full penetration into the combustion chamber leading to better combustion. Blend B25 showed best thermal efficiency of the order of 33.03% and the least NO_X emission of 1047?ppm at 220?bar injection pressure at 75% load.     

The effect of engine emission on canola biodiesel blends with TiO2

The role of nanoparticles and nanofluid additives for biodiesel has gained consistent position in the current trend as they contribute to increase the performance of the engine with lower emission. In addition, additives also help to increase the engine reliability and lifespan. In this work, the effects of canola biodiesel blends of 20% proportions with diesel were investigated at 100% of engine load. The fuel is tested in a multi-cylinder water-cooled direct ignition (DI) engine. There are numerous notable works on nanofluid; however, the addition of TiO₂ nanoparticle as additive to produce canola biodiesel fuel is very limited. With the addition of the TiO₂ nanoparticle on Canola biodiesel blend in the DI engine, the exhaust property of gases such as CO, HC and NO_X is reduced. Furthermore, the combustion characteristics of the engine are improved. The canola biodiesel blends also resulted in lower NO_x emission as well as low smoke.