Review of Optical Diagnostic Technique for Diesel Spray
Keywords:
diesel spray, performance, combustion, emission, compression ignition engineAbstract
To enhance the fuel efficiency and reduce both NOX and soot emissions in diesel engine, it is essential to understand the mixture formation and the combustion process in the cylinder. The injection parameters such as pressure, mass and multiple approaches as well as the impingement play an important role in mixture formation, combustion process and emissions. Previous works have addressed various optical diagnostic techniques. This review describes those factors mentioned above systematically to clarify the diesel spray in the compression ignition engine. Therefore, a diesel vehicle with better fuel economy and low emission that meets the stringent regulation across the world could be realized.
Downloads
References
M. F. Roslan, I. Veza, and M. F. M. Said, "Predictive simulation of single cylinder n-butanol HCCI engine," in IOP Conference Series: Materials Science and Engineering, 2020, vol. 884, no. 1, p. 012099: IOP Publishing.
I. Veza, M. F. M. Said, Z. A. Latiff, M. F. Hasan, R. I. A. Jalal, and N. M. I. N. Ibrahim, "Simulation of predictive kinetic combustion of single cylinder HCCI engine," in AIP Conference Proceedings, Pahang, Malaysia, 2019, vol. 2059, no. 1, pp. (020017-1)-(020017-9): AIP Publishing.
M. Rusli et al., "Performance and Emission Measurement of a Single Cylinder Diesel Engine Fueled with Palm Oil Biodiesel Fuel Blends," in IOP Conference Series: Materials Science and Engineering, 2021, vol. 1068, no. 1, p. 012020: IOP Publishing.
I. Veza, V. Muhammad, R. Oktavian, D. W. Djamari, and M. F. M. Said, "Effect of COVID-19 on biodiesel industry: A case study in Indonesia and Malaysia," International Journal of Automotive and Mechanical Engineering, vol. 18, no. 2, pp. 8637-8646, 2021.
I. Veza, M. F. Muhamad Said, Z. Abdul Latiff, and M. A. Abas, "Application of Elman and Cascade neural network (ENN and CNN) in comparison with adaptive neuro fuzzy inference system (ANFIS) to predict key fuel properties of ABE-diesel blends," International Journal of Green Energy, pp. 1-13, 2021.
I. Veza, M. F. Roslan, M. F. Muhamad Said, Z. Abdul Latiff, and M. A. Abas, "Cetane index prediction of ABE-diesel blends using empirical and artificial neural network models," Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp. 1-18, 2020.
A. Katijan, M. F. A. Latif, Q. F. Zahmani, S. Zaman, K. A. Kadir, and I. Veza, "An Experimental Study for Emission of Four Stroke Carbureted and Fuel Injection Motorcycle Engine," Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, vol. 62, no. 2, pp. 256-264, 2019.
P. M. de Oliveira et al., "Soot-free low-no x aeronautical combustor concept: The lean azimuthal flame for kerosene sprays," Energy & Fuels, vol. 35, no. 9, pp. 7092-7106, 2021.
H. Kurji, "Fuel Flexibility with low emissions for gas turbine engines," Cardiff University, 2017.
N. Zeoli, "Multiphase modelling of the characteristics of close coupled gas atomization," Aston University, 2011.
J. Dai, N. Yu, and G. Cai, "Investigation of non-premixed flame combustion characters in GO2/GH2 shear coaxial injectors using non-intrusive optical diagnostics," SCIENCE CHINA Physics, Mechanics & Astronomy, vol. 58, no. 12, pp. 1-13, 2015.
G. Subbuswamy, Numerical and experimental study of film cooling with backward injection angle. Lamar University-Beaumont, 2012.
J. E. Dec, "A conceptual model of DL diesel combustion based on laser-sheet imaging," SAE transactions, pp. 1319-1348, 1997.
Published
How to Cite
Issue
Section
Categories
Copyright (c) 2022 Ihwan Ghazali, La Ode Mohammad Firman, Handi, Yusrizal, Ayu Amanah, Mohammed Bashir Abdulrahman
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
