| 1 |
Predicting sliding times of a particle over a bubble surface under various chemical conditions
Zhou Y, Albijanic B, Tadesse B, Wang YL, Yang JG, Zhu XN, Rezvani A
Minerals Engineering, 137, 177, 2019 |
| 2 |
Real-time condition monitoring and fault detection of components based on machine-learning reconstruction model
Yang CZ, Liu JQ, Zeng YY, Xie GY
Renewable Energy, 133, 433, 2019 |
| 3 |
Optimal design and operating strategies for a biomass-fueled combined heat and power system with energy storage
Zheng YY, Jenkins BM, Kornbluth K, Kendall A, Traeholt C
Energy, 155, 620, 2018 |
| 4 |
Investigation of effect of surfactants on the hydrophobicity of low rank coal by sliding time measurements
Wang SW, Tang LF, Tao XX
Fuel, 212, 326, 2018 |
| 5 |
Comparison of sliding time of low-rank coal particles on air and oily bubble surfaces
Wang SW, Tao XX
Energy Sources Part A-recovery Utilization and Environmental Effects, 39(12), 1307, 2017 |
| 6 |
Optimization of combined heat and power production with heat storage based on sliding time window method
Fang TT, Lahdelma R
Applied Energy, 162, 723, 2016 |
| 7 |
Computer simulations of particle-bubble interactions and particle sliding using Discrete Element Method
Maxwell R, Ata S, Wanless EJ, Moreno-Atanasio R
Journal of Colloid and Interface Science, 381, 1, 2012 |
| 8 |
The inertial hydrodynamic interaction of particles and rising bubbles with mobile surfaces
Dai ZF, Dukhin S, Fornasiero D, Ralston J
Journal of Colloid and Interface Science, 197(2), 275, 1998 |
