The ANN approximation of the CH4 combustion model : the heat release

• Autorzy: Kowalski J.
• Języki publikacji: EN

Abstrakty

EN

The calculation of the heat release from the combustion process of the CH4 is presented of the paper. Correct calculation results of the heat released from combustion is important for design, modelling and testing phenomena in combustion chambers of internal combustion engines. The paper presents results of calculations for the kinetic mechanism of methane combustion GriMech 3 for different thermodynamic parameters and composition of the combusted mixture. The calculations were performed for all possible configurations of the variable temperaturę range from 1100K to 3600K, the variable pressure in the range of 2MPa to 5MPa, variable humidity of charged air from 10 to 30 grams of water per l kg of air and variable mole fractions of charge air. Results of the kinetic calculation of combustion process are qualitatively consistent with the data available in literature. The next stage of research was approximation of obtained results with the trained artificial neural network. Input data needed to approximate the energy of the combustion process consisted of 52 mole fractions of chemical species and temperature and pressure process. Approximation results have meant square error not exceeded 0.04% for the test data and 0.02% for the validation data. The maximum error for a single result was 1.9% compared to data obtained with chemical kinetic calculations.

Słowa kluczowe

EN

modelling; internal combustion engines; approximation; artificial neural network; combustion process; heat release

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2010
• Tom: Vol. 17, No. 2
• Strony: 225--232
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Kowalski J.

• Gdynia Maritime University, Department of Engineering Sciences Morska Street 81-87, 81-225 Gdynia, Poland tel.[phone],fax: [phone],

Bibliografia

• [1] Bowman, C. T, et. all, http://www.me.berkeley.edu/gri_mech/.
• [2] Chopey, N. P., Handbook of chemical engineering calculations 3-rd edition, McGraw-Hill, 2004.
• [3] Demirbas, A., Biodiesel – a realistic fuel alternative for diesel engines. Springer-Verlag, 2008.
• [4] Ghobadian, B., Rahimi, H., Nikbakht, A. M., Najafi, G., Yusaf, T. F., Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network, Renewable Energy, Vol. 34, Elsevier Science Inc, 2009.
• [5] Hester, R. E., Harrison, R. M., Air pollution and health. Royal Society of chemistry, 1998.
• [6] Heywood, J. B., Internal Combustion Engine Fundamentals, McGraw-Hill, 1988.
• [7] http://www.me.berkeley.edu/gri_mech/version30/text30.html#targets.
• [8] Kowalski, J., Tarełko, W., NOx emission from a two-stroke ship engine. Part 1: Modelling aspect, Applied Thermal Engineering, Elsevier Science Inc, Vol. 29, No. 11-12, pp. 2153 - 2159, 2009.
• [9] Kowalski, J., The NOx emission estimation by artificial neural network: the analyze, Journal of KONES, Vol. 15, 2008.
• [10] Kuo, K. K., Principles of combustion, Wiley & Sons, 2005.
• [11] Masters, T., Practical neural network recipes in C++, Academic Press Inc, 1993.
• [12] Poinsot, T., Veynante, D., Theoretical and numerical combustion, Edwards, 2005.
• [13] Pozrikidis, C., Fluid dynamics – theory, computation and numerical simulation, Kluwer academic publishers, 2001.
• [14] Reynolds, J. P., Jeris, J., Theodore, L., Handbook of chemical and environmental engineering calculations, Willey, 2007.
• [15] Svozil, D., Kvasnicka, V., Pospichal, J., Introduction to multi-layer feed-forward neural networks, Chemometrics and intelligent laboratory systems, Vol. 39, Elsevier Science Inc, 1997.
• [16] Winterbone, D. E., Advanced Thermodynamics for Engineers, Wiley & Sons, 1997.
• [17] Woodward, J. L, Estimating the flammable mass of a vapor cloud, American Institute of Chemical Engineers, 1998.
• [18] Zienkiewicz, O. C., Taylor, R. L., Zhu, J. Z., The Finite element method. 6-th edition, McGraw-Hill, 2005.