Optimization of engine operating conditions and investigation of nano-particle emissions from a non-road engine fuelled with butanol/diesel blends

References

• Afroz R, Hassan MN, Ibrahim NA. Review of air pollution and health impacts in Malaysia. Environ Res. 2003;92(2): 71–77.
   Google Scholar
• Pundir B. (2012.). Engine emissions pollutant formation and advances in control technology. New Delhi, India: Narosa Publishing House; ISBN:978-81-7319-819-9.
   Google Scholar
• Ramalingam S, Rajendran S, Ganesan P. Improving the performance is better and emission reductions from Annona biodiesel operated diesel engine using 1, 4-dioxane fuel additive. Fuel. 2016;185:804–809.
   Google Scholar
• Jiaqiang E, Liu T, Yang WM, et al. Effects of fatty acid methyl esters proportion on combustion and emission characteristics of a biodiesel fueled diesel engine. Energ Convers Manage. 2016;117:410–419.
   Google Scholar
• Selvam DJP, Vadivel K. Performance and emission analysis of DI diesel engine fuelled with methyl esters of beef tallow and diesel blends. Pro Eng. 2012;38:342–358.
   Google Scholar
• Prashant GK, Lata DB, Joshi PC. Investigations on the effect of ethanol blend on the combustion parameters of dual fuel diesel engine. App Therm Eng. 2016;96:623–631.
   Google Scholar
• Rakopoulos DC, Rakopoulos CD, Giakoumis EG, et al. Effects of butanol–diesel fuel blends on the performance and emissions of a high-speed DI diesel engine. Energ Conversi Manage. 2010;51(10): 1989–1997.
   Google Scholar
• Doğan O. The influence of n-butanol/diesel fuel blends utilization on a small diesel engine performance and emissions. Fuel. 2011;90(7): 2467–2472.
   Google Scholar
• Imtenan S, Masjuki HH, Varman M, et al. Effect of n-butanol and diethyl ether as oxygenated additives on combustion–emission-performance characteristics of a multiple cylinder diesel engine fuelled with diesel–jatropha biodiesel blend. Energ Convers Manage. 2015;94:84–94.
   Google Scholar
• Şahin Z, Aksu ON. Experimental investigation of the effects of using low ratio n-butanol/diesel fuel blends on engine performance and exhaust emissions in a turbocharged DI diesel engine. Rene Energ. 2015;77:279–290.
   Google Scholar
• Yanai T, Aversa C, Dev S, et al. Investigation of fuel injection strategies for direct injection of neat n-butanol in a compression ignition engine. SAE Int J Eng. 2016;9(2016-01-0724): 1512–1525.
   Google Scholar
• Merkisz J, Pielecha J Nanoparticle emissions from combustion engines (Vol. 8, p. 139). 2015. ISBN: 978-3-319-15927-0 (Print) 978-3-319-15928-7 (Online).
   Google Scholar
• Kittelson DB. Engines and nanoparticles: a review. J Aerosol Sci. 1998;29(5): 575–588.
   Google Scholar
• Myung CL, Ko A, Park S. Review on characterization of nano-particle emissions and PM morphology from internal combustion engines: Part 1. IntJ Automot Technol. 2014;15(2): 203–218.
   Google Scholar
• Steiner S, Bisig C, Petri-Fink A, et al. Diesel exhaust: current knowledge of adverse effects and underlying cellular mechanisms. Arch Toxicol. 2016;90(7): 1541–1553.
   Google Scholar
• Krzyzanowski M, Kuna-Dibbert B, Schneider J. Health effects of transport-related air pollution. Copenhagen, Denmark: WHO Regional Office Europe; 2005.
   Google Scholar
• Singh DK, Gupta T. Effect through inhalation on human health of PM 1 bound polycyclic aromatic hydrocarbons collected from foggy days in northern part of India. J Hazard Mat. 2016;306:257–268.
   Google Scholar
• Zhang ZH, Balasubramanian R. Influence of butanol addition to diesel–biodiesel blend on engine performance and particulate emissions of a stationary diesel engine. Appl Energ. 2014;119:530–536.
   Google Scholar
• Sukjit E, Herreros JM, Dearn KD, et al. The effect of the addition of individual methyl esters on the combustion and emissions of ethanol and butanol-diesel blends. Energy. 2012;42(1): 364–374.
   Google Scholar
• Zhang ZH, Chua SM, Balasubramanian R. Comparative evaluation of the effect of butanol–diesel and pentanol–diesel blends on carbonaceous particulate composition and particle number emissions from a diesel engine. Fuel. 2016;176:40–47.
   Google Scholar
• Senecal PK, Montgomery DT, Reitz RD. A methodology for engine design using multi-dimensional modelling and genetic algorithms with validation through experiments. International JEng Res. 2000;1(3): 229–248.
   Google Scholar
• Senecal PK, Reitz RD Simultaneous reduction of engine emissions and fuel consumption using genetic algorithms and multi-dimensional spray and combustion modeling (No. 2000-01-1890). SAE Technical Paper. 2000.
   Google Scholar
• Maheshwari N, Balaji C, Ramesh A. A nonlinear regression based multi-objective optimization of parameters based on experimental data from an IC engine fueled with biodiesel blends. Bio Bioenerg. 2011;35(5): 2171–2183.
   Google Scholar
• Sharma A, Sahoo PK, Tripathi RK, et al. Artificial neural network-based prediction of performance and emission characteristics of CI engine using polanga as a biodiesel. IntJ Ambient Energ. 2016;37(6): 559–570.
   Google Scholar
• Khoobbakht G, Najafi G, Karimi M, et al. Optimization of operating factors and blended levels of diesel, biodiesel and ethanol fuels to minimize exhaust emissions of diesel engine using response surface methodology. Appl Therm Eng. 2016;99:1006–1017.
   Google Scholar
• Alonso JM, Alvarruiz F, Desantes JM, et al. Combining neural networks and genetic algorithms to predict and reduce diesel engine emissions. IEEE Trans Evol Computat. 2007;11(1): 46–55.
   Google Scholar
• Win Z, Gakkhar RP, Jain SC, et al. Investigation of diesel engine operating and injection system parameters for low noise, emissions, and fuel consumption using Taguchi methods. proceedings of the institution of mechanical engineers, Part D: proceedings of the institution of mechanical engineers, part d:. JAuto Eng. 2005;219(10): 1237–1251.
   Google Scholar
• Satake K, Monaka T, Yamada S, et al. The rapid development of diesel engine using an optimization of the fuel injection control, Mitsubishi Heavy Industries Limited. Tech Rev. 2008;45:6–10.
   Google Scholar
• Ganapathy T, Murugesan K, Gakkhar RP. Performance optimization of Jatropha biodiesel engine model using Taguchi approach. Appl Energ. 2009;86(11): 2476–2486.
   Google Scholar
• Wu HW, Wu ZY. Using Taguchi method on combustion performance of a diesel engine with diesel/biodiesel blend and port-inducting H 2. Appl Energ. 2013;104:362–370.
   Google Scholar
• Venkatanarayana B, Ratnam C, Rao RU, et al. Multi-response optimization of DI diesel engine performance parameters using Karanja methyl ester by applying Taguchi-based principal component analysis. Biofuels. 2016; 1–9.
   Google Scholar
• Ramakrishnan C, Devan PK, Karthikeyan R. Experimental study on the performance and emission characteristics of jojoba oil fueled DICI engine. Environ Prog Sust Energ. 2017;36(1): 248–258.
   Google Scholar
• Balki MK, Sayin C, Sarıkaya M. Optimization of the operating parameters based on Taguchi method in an SI engine used pure gasoline, ethanol and methanol. Fuel. 2016;180:630–637.
   Google Scholar
• Cambustion Ltd. DMS 500 User Manual, Version 4.04. 2015.
   Google Scholar
• Gonzalez-Oropeza R, Hill BJ, Hassaneen AE, et al. Gasoline engine particulate emission and exhaust gas speciation (No. 2009-01-2670). SAE Technical Paper. 2009.
   Google Scholar
• Price P, Stone R, Collier T, et al. Dynamic particulate measurements from a DISI vehicle: a comparison of DMS500, ELPI, CPC and PASS (No. 2006-01-1077). SAE Technical Paper. 2006.
   Google Scholar
• Cambustion DMS06. Real-time mode finding & lognormal fitting with DMS series fast particulate spectrometers. http://www.cambustion.com/sites/default/files/applications/DMS/dms06v03.pdf.
   Google Scholar
• Tauchi G. Introduction to quality engineering. whiter plains. New York: Kraus International Publications; 1986.
   Google Scholar
• Antony J, Jiju Antony F. Teaching the Taguchi method to industrial engineers. Work Study. 2001;50(4): 141–149.
   Google Scholar
• Taguchi G, Konishi S. Orthogonal arrays and linear graphs: tools for quality engineering. Am Supp Inst. 1987;
   Google Scholar
• Heywood JB. Internal combustion engine fundamentals. New Delhi: McGraw Hill Eduction (India) Private Limited; ISBN:1-25-900207-1. 2011.
   Google Scholar
• Sayin C. Engine performance and exhaust gas emissions of methanol and ethanol–diesel blends. Fuel. 2010;89(11): 3410–3415.
   Google Scholar
• Ajav EA, Singh B, Bhattacharya TK. Experimental study of some performance parameters of a constant speed stationary diesel engine using ethanol–diesel blends as fuel. Biomass and Bioenergy. 1999;17(4): 357–365.
   Google Scholar
• Choi CY, Reitz RD. An experimental study on the effects of oxygenated fuel blends and multiple injection strategies on DI diesel engine emissions. Fuel. 1999;78(11): 1303–1317.
   Google Scholar
• Ecklund EE, Bechtold RL, Timbario TJ, et al. State-of-the-art report on the use of alcohols in diesel engines (No. 840118). SAE Technical Paper. (1984).
   Google Scholar
• Corkwell KC, Jackson MM, Daly DT Review of exhaust emissions of compression ignition engines operating on E diesel fuel blends (No. 2003-01-3283). SAE Technical Paper. (2003).
   Google Scholar
• Park SH, Youn IM, Lee CS. Influence of ethanol blends on the combustion performance and exhaust emission characteristics of a four-cylinder diesel engine at various engine loads and injection timings. Fuel. 2011;90(2): 748–755.
   Google Scholar
• Rakopoulos DC, Rakopoulos CD, Hountalas DT, et al. Investigation of the performance and emissions of bus engine operating on butanol/diesel fuel blends. Fuel. 2010;89(10): 2781–2790.
   Google Scholar
• Srivastava DK, Agarwal AK, Gupta T. Effect of engine load on size and number distribution of particulate matter emitted from a direct injection compression ignition engine. Aerosol Air Qual Res. 2011;11(7):915–920.
   Google Scholar