| 1 |
Artificial intelligence techniques for the vibration, noise, and emission characteristics of a hydrogen-enriched diesel engine
Yildirim S, Tosun E, Calik A, Uluocak I, Avsar E
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(18), 2194, 2019 |
| 2 |
Prediction of density and kinematic viscosity of biodiesel by artificial neural networks
Ozgur C, Tosun E
Energy Sources Part A-recovery Utilization and Environmental Effects, 39(10), 985, 2017 |
| 3 |
Experimental and artificial neural network approach of noise and vibration characteristic of an unmodified diesel engine fuelled with conventional diesel, and biodiesel blends with natural gas addition
Celebi K, Uludamar E, Tosun E, Yildizhan S, Aydin K, Ozcanli M
Fuel, 197, 159, 2017 |
| 4 |
Estimation of crack propagation in polymer electrolyte membrane fuel cell under vibration conditions
Calik A, Yildirim S, Tosun E
International Journal of Hydrogen Energy, 42(36), 23347, 2017 |
| 5 |
Evaluation of vibration characteristics of a hydroxyl (HHO) gas generator installed diesel engine fuelled with different diesel-biodiesel blends
Uludamar E, Tosun E, Tuccar G, Yildizhan S, Calik A, Yildirim S, Serin H, Ozcanli M
International Journal of Hydrogen Energy, 42(36), 23352, 2017 |
| 6 |
Experimental and regression analysis of noise and vibration of a compression ignition engine fuelled with various biodiesels
Uludamar E, Tosun E, Aydin K
Fuel, 177, 326, 2016 |
| 7 |
Determination of effects of various alcohol additions into peanut methyl ester on performance and emission characteristics of a compression ignition engine
Tosun E, Yilmaz AC, Ozcanli M, Aydin K
Fuel, 126, 38, 2014 |
| 8 |
Diesel engine emissions and performance from blends of citrus sinensis biodiesel and diesel fuel
Tuccar G, Tosun E, Ozgur T, Aydin K
Fuel, 132, 7, 2014 |
