ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends
Yıl: 2020 Cilt: 4 Sayı: 3 Sayfa Aralığı: 180 - 184 Metin Dili: İngilizce DOI: 10.30939/ijastech..771789 İndeks Tarihi: 17-09-2020
ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends
Öz: In this study, experimental data was collected from a single cylinder diesel engine fueled by pyrolytic oil, neat diesel and butanol fuel blends. The experimentswere conducted at various engine loads, namely from 0.25 kW to 1.25 kW by0.25 kW increment. The engine performance and exhaust emission data obtainedwere modeled using an artificial neural network (ANN) algorithm. CO, NOx,BSFC, and BTE were considered in the ANN model. The results were discussedin terms of R2, MBE, and RMSE metrics. R2 value of the performance and exhaustemission responses’ prediction were 0.986, 0.963, 0.991, and 0967 for BTE,BSFC, NOx, and CO, respectively, and in addition, all MBE value was very closeto zero and smaller than 1.14. As a conclusion, the present paper showed thatperformance and exhaust emission responses of ternary fuels can be accuratelypredicted using an artificial neural network
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- [1] Ağbulut, Ü., Sarıdemir, S., Karagöz, M.,. (2020). Experimental investigation of fusel oil (isoamyl alcohol) and diesel blends in a CI engine. Fuel. 267, 117042.
- [2] Ağbulut, Ü., Sarıdemir, S., Albayrak, S. (2019). Experimental investigation of combustion, performance and emission charac-teristics of a diesel engine fueled with diesel–biodiesel–alcohol blends. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41(9), 389.
- [3] Ağbulut, Ü., Karagöz, M., Sarıdemir, S., Öztürk, A., (2020). Impact of various metal-oxide based nanoparticles and biodiesel blends on the combustion, performance, emission, vibration and noise characteristics of a CI engine. Fuel. 270, 117521.
- [4] Karagöz, M., Ağbulut, Ü., Sarıdemir, S., (2020) Waste to energy: Production of waste tire pyrolysis oil and comprehensive analysis of its usability in diesel engines, Fuel, 275; 117844.
- [5] Doğan, O., Çelik M. B., Özdalyan, B., (2012). The effect of tire derived fuel/diesel fuel blends utilization on diesel engine performance and emissions. Fuel. 95, 340–346.
- [6] Wang, W. C., Bai, C. J., Lin, C. T., Prakash, S. (2016). Alternative fuel produced from thermal pyrolysis of waste tires and its use in a DI diesel engine. Applied Thermal Engineering. 93, 330-338.
- [7] Adam, A., Ramlan, N, A., Jaharudin, N, F., Hamzah, H., Othman, M, F., Mrwan, A., A., G., (2017). Analysis of combustion characteristics, engine performance and exhaust emissions of diesel engine fueled with upgraded waste source fuel. International Journal of Hydrogen Energy. 42, 17993-18004.
- [8] Murugan, S., Ramaswamy, M. C., Nagarajan, G. (2008). The use of tyre pyrolysis oil in diesel engines. Waste management. 28 (12), 2743-2749.
- [9] Frigo, S., Seggiani, M., Puccini, M., Vitolo, S. (2014). Liquid fuel production from waste tyre pyrolysis and its utilization in a Diesel engine. Fuel. 116,399–408.
- [10] Doğan, O., 2011. The influence of n-butanol/diesel fuel blends utilization on a small diesel engine performance and emissions. Fuel. 90, 2467–2472.
- [11] Yusri, I., M., Mamat, R., Akasyah, M., K., Jamlos, M., F., Yusop, A., F., (2019). Evaluation of engine combustion and exhaust emissions characteristics using diesel/butanol blended fuel. Applied Thermal Engineering. 156, 209–219.
- [12] Kurtgoz, Y., Karagoz, M., Deniz, E., (2017). Biogas engine per-formance estimation using ANN. Engineering Science and Technology, an International Journal. 20, 1563–1570.
- [13] Joshi, M., P., Thipse, S., S., (2019). Combustion analysis of a compression-ignition engine fuelled with an algae biofuel blend and diethyl ether as an additive by using an artificial neural network. Biofuels,1-10.
- [14] Rao, K., P., Babu, T., V., Anuradha, G., Rao, B., A., (2017). IDI diesel engine performance and exhaust emission analysis using biodiesel with an artificial neural network (ANN). Egypt J Petrol. 26(3), 593-600.
- [15] Karthickeyan, V., Balamurugan, P., Rohith, G., Senthil, R., (2017). Developing of ANN model for prediction of performance and emission characteristics of VCR engine with orange oil biodiesel blends. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39 (7), 2877-88.
- [16] Madane, P., Panua, R., (2019). Investigation of performance of jatropha oil on diesel engine using artificial neural network model. International Journal Computational Intelligence IOT. 2 (2).
- [17] Noor, C., W., M., Mamat, R., Najafi, G., Bakar, A., A., Samo, K., (2019). Determination of bio-diesel engine combustion pressure using neural network-based model. Journal of Engineering Science and Technology. 14(2), 909-21.
- [18] Gürgen, S., Ünver, B., Altın, İ., (2018). Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network. Renewable Energy. 117, 538-544.
- [19] Ağbulut, Ü., Ayyıldız, M., Sarıdemir, S., (2020). Prediction of performance, combustion and emission characteristics for a CI engine at varying injection pressures. Energy. 197, 117257.
- [20] MERCK. Product specification; 2019 [in Turkish].
- [21] Gürel, A. E., Ağbulut, Ü., & Biçen, Y. (2020). Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation. Journal of Cleaner Production, 122353.
- [22] Ağbulut, Ü., Gürel, A. E., & Biçen, Y., (2021). Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison. Renew. and Sust. Energy Rev., 135, 110114.
| APA | KARAGÖZ M (2020). ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. , 180 - 184. 10.30939/ijastech..771789 |
| Chicago | KARAGÖZ Mustafa ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. (2020): 180 - 184. 10.30939/ijastech..771789 |
| MLA | KARAGÖZ Mustafa ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. , 2020, ss.180 - 184. 10.30939/ijastech..771789 |
| AMA | KARAGÖZ M ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. . 2020; 180 - 184. 10.30939/ijastech..771789 |
| Vancouver | KARAGÖZ M ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. . 2020; 180 - 184. 10.30939/ijastech..771789 |
| IEEE | KARAGÖZ M "ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends." , ss.180 - 184, 2020. 10.30939/ijastech..771789 |
| ISNAD | KARAGÖZ, Mustafa. "ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends". (2020), 180-184. https://doi.org/10.30939/ijastech..771789 |
| APA | KARAGÖZ M (2020). ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. International Journal of Automotive Science and Technology, 4(3), 180 - 184. 10.30939/ijastech..771789 |
| Chicago | KARAGÖZ Mustafa ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. International Journal of Automotive Science and Technology 4, no.3 (2020): 180 - 184. 10.30939/ijastech..771789 |
| MLA | KARAGÖZ Mustafa ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. International Journal of Automotive Science and Technology, vol.4, no.3, 2020, ss.180 - 184. 10.30939/ijastech..771789 |
| AMA | KARAGÖZ M ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. International Journal of Automotive Science and Technology. 2020; 4(3): 180 - 184. 10.30939/ijastech..771789 |
| Vancouver | KARAGÖZ M ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends. International Journal of Automotive Science and Technology. 2020; 4(3): 180 - 184. 10.30939/ijastech..771789 |
| IEEE | KARAGÖZ M "ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends." International Journal of Automotive Science and Technology, 4, ss.180 - 184, 2020. 10.30939/ijastech..771789 |
| ISNAD | KARAGÖZ, Mustafa. "ANN Based Prediction of Engine Performance and Exhaust Emission Responses of a CI Engine Powered by Ternary Blends". International Journal of Automotive Science and Technology 4/3 (2020), 180-184. https://doi.org/10.30939/ijastech..771789 |
