| 51 |
Computational modeling of the combustion of coal water slurries containing petrochemicals
Chernetskiy M, Vershinina K, Strizhak P
Fuel, 220, 109, 2018 |
| 52 |
Measurement and prediction of fly ash resistivity over a wide range of temperature
Zheng CH, Liu XT, Yan P, Zhang YX, Wang Y, Qiu KZ, Gao X
Fuel, 216, 673, 2018 |
| 53 |
Development and validation of a semi-empirical model for two-phase heat transfer from arrays of impinging jets
Mira-Hernandez C, Clark MD, Weibel JA, Garimella SV
International Journal of Heat and Mass Transfer, 124, 782, 2018 |
| 54 |
A three-dimensional approach to model steam chamber expansion and production performance of SAGD process
Huang SJ, Xia Y, Xiong H, Liu H, Chen X
International Journal of Heat and Mass Transfer, 127, 29, 2018 |
| 55 |
A simplified approach to predict performance degradation of a solid oxide fuel cell anode
Khan MZ, Mehran MT, Song RH, Lee JW, Lee SB, Lim TH
Journal of Power Sources, 391, 94, 2018 |
| 56 |
Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network
He F, Zhang LY
Journal of Process Control, 66, 51, 2018 |
| 57 |
Neural network modelling of high pressure CO2 corrosion in pipeline steels
Abbas MH, Norman R, Charles A
Process Safety and Environmental Protection, 119, 36, 2018 |
| 58 |
Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review
Al-Jamimi HA, Al-Azani S, Saleh TA
Process Safety and Environmental Protection, 120, 57, 2018 |
| 59 |
Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control
Rodriguez F, Fleetwood A, Galarza A, Fontan L
Renewable Energy, 126, 855, 2018 |
| 60 |
Microbial communities in the functional areas of a biofilm reactor with anaerobic-aerobic process for oily wastewater treatment
Li JH, Sun SS, Yan P, Fang L, Yu Y, Xiang YD, Wang D, Gong YJ, Gong YJ, Zhang ZZ
Bioresource Technology, 238, 7, 2017 |
