Visual Journal of Technical and Vocational Education

Visual Journal of Technical and Vocational Education

Using the response surface methodology to analyze the effect of fuel injection pressure on lambda, ignition advance and exhaust emissions in the SI engines

Document Type : Original Article

Authors
1 Department of Agriculture Engineering, Technical and Vocational University (TVU), Tehran, Iran.
2 Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran.
3 Department of Physical Education and Sport Sciences, Technical and Vocational University (TVU), Tehran, Iran.
Abstract
In gasoline engines, the fuel delivery system is one of the most precise and critical components. The design of fuel pathways, pumps, filters, and related features directly impacts fuel pressure a key parameter for combustion performance. In this study, in order to evaluate the combustion parameters and exhaust emissions of a gasoline engine, the effect of fuel injection pressure on lambda (ratio between the actual air-fuel ratio and the stoichiometric air-fuel ratio), ignition advance and exhaust emissions of the engine has been investigated using the response surface method. The test results indicated that the amount of Lambda, ignition advance, CO and HC increased with decreasing the fuel injection pressure. The highest values of Lambda, ignition advance and CO at 5000 rpm with fuel injection pressure of 2.4 bar was measured as 1.044, 37° and 0.88%, respectively. The highest value of CO2 gas was recorded at 1000 rpm with fuel injection pressure of 3.5 bar at 14.8%. The lowest amount of HC emission was reported at 5000 rpm engine and with fuel injection pressure of 3.5 bar as 86 ppm. The results of this study showed that fuel pressure in a gasoline engine is an effective parameter in engine performance and emissions. The study showed that proper design and maintenance of the fuel system maintain optimal fuel pressure, improve engine performance, and reduce exhaust emissions. This plays a key role in reducing air pollution in metropolitan areas
Keywords
Subjects

[1] M.Ghanbari, Technology and design of internal combustion engines. 1, ed. 1. Vol. 1. Technical and Vocational University 300. 2019. (In Persian).
[2] M. Ghanbari, H.Rahimi, L. Mozafari Vanani, Investigation of the Effect of Gasoline Engine Fuel Filter Operation on Fuel System Pressure, in 11th  Int Conf on internal combustion engines & oil. Iran 2019. 20.1001.1.23829796.1399.17.4.8.6. (In Persian).
[3] J.J.Eberhardt, Fuels of the Future for Cars and Trucks. 2002, Diesel Engine Emissions Reduction (DEER) Workshop: California,  America.
[4] M. Ghanbari, L. Mozafari, G. Najafi. Investigating the effect of gasoline fuel filter lifetime on fuel pressure and ignition advance using the RSM method Fluid mechanics and aerodynamics, Vol. 9(1). 2021. DOR:20.1001.1.23223278.1399.9.1.9.7. (In Persian).
[5] R. Ejtehadi. fuel systems and filtration principles, in 3RD National Maintenance Conference, Tehran. Iran. 2005. 10.48301/kssa.2021.128400. (In Persian).
[6] M . Jafarian Jelodar, E. Momeni. Complex Refrigeration Simulation Algorithm and Response Surface Methodology in Solving Optimization Problems (A Case Study of Car Fuel Filter), in 3RD International Conference on Research in Operations in Iran, Tehran. 2009.
[7] R.M. Shanmugam. et al., Performance and emission characterization of 1.2 L MPI engine with multiple fuels (E10, LPG and CNG). SAE International Journal of Fuels and Lubricants, Vol. 3(1): p. 334-352. 2010.
[8] Kamyab, M.V., KH. And Esfande, S, Numerical simulation of fluid flow in portable helicopter refueling systems: with a focus on simulating fluid behavior in the fuel filter and refueling systems in 5th National Conf on Defense Science and Engineering. 2020: Iran, Tehran. (In Persian).
[9] M, Ghanbari, L,Mozafarivanani., Evaluation of fuel and spark system variables of a gasoline engine due to lack of timely replacement of fuel filter. Karafan (Quarterly Research Journal of Technical and Vocational University), Vol. 17(4): p. 133-145. 2021. 20.1001.1.23829796.1399.17.4.8.6. (In Persian).
[10] Lenaers, G. and M. Van Poppel, Mobile emission measurements for assessing low emitting vehicles exemplified on a CRT-equipped bus. International Journal of Energy for a Clean Environment, 2005. 6(1). DOI:10.1615/InterJEnerCleanEnv.v6.i1.50.
[11] Hountalas, D.T., et al., Use of a multi-zone combustion model to interpret the effect of injector nozzle hole geometry on HD DI diesel engine performance and pollutant emissions. SAE transactions, 2005: p. 550-566. DOI: 10.4271/2005-01-0367.
[12] Pilusa, T., M. Mollagee, and E. Muzenda, Reduction of vehicle exhaust emissions from diesel engines using the whale concept filter. Aerosol and Air Quality Research, 2012. 12(5): p. 994-1006.
[13] Sharma, N. and A.K. Agarwal, Effect of Fuel Injection Pressure and Engine Speed on Performance, Emissions, Combustion, and Particulate Investigations of Gasohols Fuelled Gasoline Direct Injection Engine. Journal of Energy Resources Technology, 2020. 142(4). doi.org/10.1115/1.4044763.
[14] Almasi, S. and G. Najafi, Optimasiton of biodiesel production process from Non-edible rapseed using response surface method (RSM). Fuel and Combustion, 2019. 11(4): p. 1-13. (In Persian).
[15] Jalilitabar, F.M., M. Momeni, E. , Optimizing the EGR rate, biodiesel fuel ratio and engine working mode using RSM method. Fuel and Combustion, 2017. 10(3). (In Persian).
[16] Dhole, A., et al., Mathematical modeling for the performance and emission parameters of dual-fuel diesel engine using producer gas as secondary fuel. Biomass Conversion and Biorefinery, 2015. 5(3): p. 257-270. doi:10.1007/s13399-014-0142-6.
[17] Shabani, Z., et al., Optimization of performance in tractor engine with biodiesel-ethanol-diesel fuels using response surface methodology. The Journal of Engine Research, 2013. 29(29): p. 15-24. (In Persian).
[18] Ileri, E., A.D. Karaoglan, and A. Atmanli, Response surface methodology based prediction of engine performance and exhaust emissions of a diesel engine fuelled with canola oil methyl ester. Journal of Renewable and Sustainable Energy, 2013. 5(3): p. 033132. DOI:10.1063/1.4811801.
[19] Bharadwaz, Y.D., et al., Improvement of biodiesel methanol blends performance in a variable compression ratio engine using response surface methodology. Alexandria Engineering Journal, 2016. 55(2): p. 1201-1209. DOI:10.1016/j.aej.2016.04.006.
[20]Ghanbari M, Mozafari-Vanani L, Dehghani-Soufi M, Jahanbakhshi A. Effect of alumina nanoparticles as additive with diesel–biodiesel blends on performance and emission characteristic of a six-cylinder diesel engine using response surface methodology (RSM). Energy Conversion and Management: X. 2021. doi.org/10.1016/j.ecmx.2021.100091.
[21] L. Prajapati and J. Tirkey. Effect of injection pressure and nozzle strategy optimization for the performance improvement on CI engine fuelled with diesel and co-gasified biomass producer gas: A diesel-RK and RSM-based approach. Process Safety and Environmental Protection. 2025. 198. 107197. 10.1016/j.psep.2025.107197.
[22] Toosi, A., Nozari , A,  Etghani, M. Numerical Study of the Effect of Fuel Spray Velocity and Targeting on Fuel Evaporation Rate in a Port Fuel Injection Engine by Using Kiva3-V2 Simulation Code. ASME 2007 Internal Combustion Engine Division Fall, 2007. DOI:10.1115/ICEF2007-1641.
[23] Khabaz Alireza, K.R., Theoretical study of the effect of pressure, time and duration of diesel fuel injection on the performance and pollutants of direct injection diesel engine. Engine Research 2010. 19: p. 49-63. (In Persian).
[24] Ghanbari M, Najafi G, Ghobadian B. Experimental studying the effect of nano particles additives in diesel-biodiesel blends on the emission characteristics of a CI engine. Automotive Science and Engineering. 2020.10(4). doi.org/10.22068/ase.2020.537.
[25] Myers, R. and D. Montgomery, Experimental designs for fitting response surfaces-I. Response surface methodology. Process and product optimization using designed experiments. 2a ed. Nueva York: Willey, 2002. DOI: 10.4236/as.2016.74019.
[26] Moradi, M. and H. Abdollahi, Statistical Modelling and Optimization of the Laser Percussion Microdrilling of Thin Sheet Stainless Steel. Lasers in Engineering (Old City Publishing), 2018. 40. doi:10.2351/1.4923019.
[27] Shamsborhan, M., M. Moradi, and A. Shokuhfar, Numerical optimization of Planar twist channel angular extrusion as a novel severe plastic deformation method by DOE method. Modares Mechanical Engineering, 2017. 16(5): p. 135-144. (In Persian).
[28] Aditya, S. and K. Anil, Analysis of emission characteristics of MPFI gasoline engine using the 5 gas analyser. International Journal of Advance Research and Innovative Ideas in Education, 2016. 2(2): p. 1052-22.
[29]Diming Lou, Tong Wang, Liang Fang, Piqiang Tan, Zhiyuan Hu, Yunhua Zhang, Zheng Xu, Chuanhui Cheng, Shaoming Wang b, YaJun Zhang b. Investigation of the combustion and particle emission characteristics of a GDI engine with a 50 MPa injection system. Fuel. Volume 315, 2022, 123079. doi: 10.1016/j.fuel.2021.123079.
[30] M. Ghanbari, G. Najafi, B. Ghobadian, T. Yusaf, A.P. Carlucci, M. Kiani Deh Kiani.  Performance and emission characteristics of a CI engine using nano particles additives in biodiesel-diesel blends and modeling with GP approach. Fuel, Vol. 202: p. 699-716. 2017. doi:10.1016/j.fuel.2017.04.117.
[31] M. Ghanbari, "Experimental study on the effect of Al2O3 nanoparticles in diesel fuel on the performance and emission characteristics of a diesel engine", The Journal of Engine Research, 61ol. 61, 35-45. (2021).
[32] Babazadeh Shayan, S., et al., Impact of methanol–gasoline fuel blends on the performance and exhaust emissions of a SI engine. International Journal of Automotive Engineering, 2011. 1(4): p. 219-227.

[33] Arefeh Movahedi, Mina Taghimolaee, Setare Ghayebpanah, Fatemeh Monajemi, Mani Ghanbari, Helal Nemat Farahzadi. A Review of the Effect of Nanoparticles on Reactive Oxygen Species Production in Different Plants. Journal of Engineering and Applied Research (JEAR).  2024. Winter & Spring 2024, Vol. 1, No. 1, p. 131-163. doi: 10.48301/jear.2024.191062.

  • Receive Date 03 June 2025
  • Revise Date 30 November 2025
  • Accept Date 20 April 2026