Query: Taguchi  engine

title: Effect of hydrogen and multiwall carbon nanotubes blends on combustion performance and emission of diesel engine using Taguchi approach
abstract: The analysis of optimum engine conditions operating under hydrogen and multiwall carbon nanotubes (MWCNTs) blends using the Taguchi L16 approach were examined. The effect of hydrogen (10% 20% and 30% and MWCNTs (30 ppm, 50 ppm, and 80 ppm) with different fuel blend proportions were evaluated at different engine loads of 25% 50% 75% and 100% Further, the influence of ignition pressure was evaluated at four intervals of 180 bar, 200 bar, 220 bar, and 240 bar. In addition, the ignition timing varied at different intervals of 210bTDC, 230bTDC, 270bTDC and 310bTDC, respectively. TaguchiL16 approach was designed according to the combinations of the array, including load, hydrogen, MWCNTs, ignition pressure, and timing with four optimal conditions. Results revealed that the L16 orthogonal array was a suitable method to find the optimized working conditions of the diesel engine for higher performance and less emission of NOx, HC, CO, and CO2. Compared to neat diesel, the addition of hydrogen and MWCNTs reduces the emission with improved brake thermal efficiency. The effects of the optimal factors were further analyzed using ANOVA. From the ANOVA results it is evident that, the addition of hydrogen and MWCNT advances the performance and emission characteristics. Moreover, results showed improved brake power by 13% and reduced brake specific fuel consumption by 8% at full engine load conditions. 22% 20% 8% and 47% emission reductions of HC, NOx, CO, and CO2 were observed due to the influence of hydrogen and MWCNTs.

title: Optimization of the factors affecting performance and emissions in a diesel engine using biodiesel and EGR with Taguchi method
abstract: Biodiesel obtained from different vegetable or animal fats is a renewable fuel that can be used without any modification in diesel engines. And using biodiesel gives close performance data compared to diesel fuel. However, it increases the NOx (Nitrogen oxide) emissions, which is a major problem for diesel engines. Therefore, considering both the amount of biodiesel in blend fuel and NOx emissions reduction measures can be much more effective. If various factors are used together, it is necessary to determine the optimum conditions and utilization amounts considering performance and emissions. In this study, using different proportions of corn oil methyl ester (COME) blends (B0, B10, B20 and B50) and EGR (EGR0, EGR10, EGR15 and EGR20) on a direct injection (DI) diesel engine at variable loads (40% 60% 80% and 100% and speed (1600 and 2400 rpm) conditions, the optimum factor levels in terms of performance and emission characteristics were determined by Taguchi method. As a result of the experimental design, L16 orthogonal array (OA) was found to be suitable and the studies were performed according to the combinations given in this array. The effect levels of factors were analyzed by ANOVA analysis. According to the results of the analysis, optimum levels of all factors were determined in terms of engine performance and emission characteristics.

title: Effect of operating parameters on performance and emissions of a diesel engine fueled with ternary blends of palm oil biodiesel/diethyl ether/diesel by Taguchi method
abstract: Since operating factors play an important role on engine emissions and performance, it is important to explore the common influence of several operating factors on diesel engine performance and emission parameters. In this paper, it was aimed to investigate the effects of diethyl ether (DEE) ratio, palm oil ratio, injection advance and engine load on diesel engine performance and emission parameters. Test were planned based on Taguchi L27 orthogonal array (OA) that considered DEE ratio, palm oil ratio, injection advance and engine load as factors and brake thermal efficiency (BTE) brake specific fuel consumption (BSFC) exhaust gas temperature (EGT) carbon monoxide (CO) hydrocarbon (HC) nitrogen oxides (NOx) and smoke emissions as responses. The effects of engine operating parameters on responses were determined by variance analysis (ANOVA) Considering the outcomes of the study, optimal levels of each factor were assigned from the point of engine performance and emission attributes. The highest signal to noise (S/N) ratios of BTE, BSFC and EGT were observed with the low DEE ratios, low injection advance values and average engine load. Overall, the highest S/N ratios achieved for emission responses were obtained with high DEE percentages and 35 CAs. While the highest S/N ratios for CO and smoke were seen with 20% palm oil, the highest S/N ratios were obtained with 0% palm oil for all other responses. These results showed that ANOVA supported Taguchi design method is an effective tool with the aim of define the effect rates of engine operating parameters.

title: Optimisation of CI engine parameter using blends of biodiesel by the Taguchi method
abstract: Diesel engine is the primary source of fuel consumption around the globe. Diesel is a fossil fuel and is expected to get over by 2050. Diesel is found to be reliable, durable and efficient. Biodiesel like lemon grass oil can play a vital role in such condition. Blends of diesel with biodiesel are expected to provide better efficiency and emission characteristics. Addition of nanoparticles like cerium oxide can make biodiesel more effective. Performance of a diesel engine depends upon various parameters like fuel quantity injected, fuel injection timing, fuel injection pressure, shape and size of combustion chamber and nozzle, fuel spray pattern, air swirl, etc. This study deals with the impact of CeO2 and compression ratio (CR) on the performance of a diesel engine. In the experimental study, different blends of biodiesel are tested at different CRs. Optimisation techniques are applied on the obtained results and verified.

title: Taguchi based optimization of diesel engine parameters with blends of lemon grass oil with ZnO

title: Optimization of the effect of thermal barrier coating (TBC) on diesel engine performance by Taguchi method
abstract: In this study, thermal barrier layers were coated on piston and valve surfaces using plasma spray method. The effects of coated layers on torque, power and brake specific fuel consumption (BSFC) were investigated experimentally, and statistically using the Taguchi optimization method. Coating materials used in this study were Al2O3 13% TiO2, Cr2O3, and Cr2O3 25% Al2O3. Each coating material was tested at different speeds, which were 1400 rpm, 2000 rpm, 2600 rpm and 3200 rpm. The results showed that engine torque and BSFC reached their optimum values with the use of Al2O3 13% TiO2 at the speed of 2600 rpm. However, engine power showed the best performance with the same coating material but at the speed of 3200 rpm. The results of the experiment were also tested using Taguchi optimization method with coating material and engine speed parameters. The design of Taguchi analysis was carried out with L16 (42) orthogonal array. The highest S/N ratios of engine torque and BSFC were observed with the coating material of Al2O3 13% TiO2 at the speed of 2600 rpm. However, the highest S/N ratio of engine power was seen with the use of Al2O3 13% TiO2 at the speed of 3200 rpm. In order to determine the statistical significance of experimental parameters on engine torque and power and BSFC, ANOVA and F test were carried out. The results of statistical analysis showed that the coating materials (P

title: Influence of nano catalyst on performance of DI diesel engine with blends of Citronella oil using Taguchi approach

title: Evaluating the effect of intake parameters on the performance of a biogas diesel dual fuel engine using the Taguchi method
abstract: A Compression Ignition (CI) engine was operated in dual fuel mode with simulated biogas as primary fuel and diesel as pilot fuel. The effects of four intake parameters, viz. biogas flow rate, methane fraction of biogas, applied torque and charge temperature, on engine performance were investigated under constant speed operation. The number of experimental trials was reduced to 16 using Taguchi's approach. Higher the better (HTB) or lower the better (LTB) criteria for signal to noise ratio (SNR) were used to optimise five performance indices. Lower biogas flow rates and methane fractions provide better performance in general. However, increasing the biogas flow rate and methane fraction enhances diesel substitution. Analysis of variance (ANOVA) showed that engine torque was the main contributing factor for most of the performance indices. Charge temperature and biogas flow rate made significant contributions towards volumetric efficiency. Volumetric efficiency and overall equivalence ratio are also affected by the methane fraction of biogas.

title: Optimization of Performance and Emission Characteristics of Catalytic Coated IC Engine with Biodiesel Using Grey Taguchi Method
abstract: The performance and emission affected by piston catalytic coating have been analyzed in this study. The main contributing factors for improving performance such as load, fuel and speed have been preferred to reduce the emission and improve the performance of an IC engine. These specific standard parameters have been modified with copper alloy coated diesel engine with the aid of design of experiment by Taguchi with grey relational analysis optimization (GRA) method, for improving the IC engine performance and reducing the emissions. The result shows modified copper chromium zirconium (CuCr1Zr) catalytic coated piston produces less emission and improves performance when compared to standard un coated piston type engine. In this investigation cotton seed oil is used as a bio diesel and the piston and combustion chamber were coated with copper chromium zirconium material with a thickness of 250 microns. Finally the results of the experiments were compared with un coated engine and optimized parameters have been identified for catalytic coated modified IC engine using Taguchi with GRA approach.

title: Influence of injection parameters on NOx emission from biodiesel powered diesel engine by Taguchi technique
abstract: This paper studies the effect of injection parameters on reduction of nitrogen oxide (NOx) emission in a multicylinder diesel engine using Taguchi orthogonal array. To obtain good performance in experiments, we have employed L9 Taguchi array on mixed level fractional design. The engine is fuelled with corn oil methyl ester biodiesel. From the experiment validation, it is found that the urea concentration and the spray angle reduce the production of NOx in the diesel engine. However, it is found that the mixing length does not support the diminution of NOx emission effectively. Additional, ANOVA outcome also reveals that the urea flow rate, urea concentration and the spray angle plays an imperative role in the reduction of NOx emission. The values of the experiments are in accordance with the Taguchi technique.