| 1 |
Study of local solid volume fraction fluctuations using high speed electrical impedance tomography: Particles with low Stokes number
Marefatallah M, Breakey D, Sanders RS
Chemical Engineering Science, 203, 439, 2019 |
| 2 |
Effects of nanoparticles to present a statistical model for the viscosity of MgO-Water nanofluid
Khodadadi H, Toghraie D, Karimipour A
Powder Technology, 342, 166, 2019 |
| 3 |
A granular Discrete Element Method for arbitrary convex particle shapes: Method and packing generation
Seelen LJH, Padding JT, Kuipers JAM
Chemical Engineering Science, 189, 84, 2018 |
| 4 |
Experimental investigation and development of new correlation for influences of temperature and concentration on dynamic viscosity of MWCNT-SiO2 (20-80)/20W50 hybrid nano-lubricant
Motahari K, Moghaddam MA, Moradian M
Chinese Journal of Chemical Engineering, 26(1), 152, 2018 |
| 5 |
Influence of Rayleigh number and solid volume fraction in particle-dispersed natural convection
Gu JC, Takeuchi S, Kajishima T
International Journal of Heat and Mass Transfer, 120, 250, 2018 |
| 6 |
Comparative study of hydrodynamic and mixing behaviors in different pre-lifting schemes for an FCC riser
Zhu LY, Fan YP, Wang ZB, Lu CX
Powder Technology, 301, 557, 2016 |
| 7 |
Enhancement of heat transfer by nanofluids and orientations of the equilateral triangular obstacle
Bovand M, Rashidi S, Esfahani JA
Energy Conversion and Management, 97, 212, 2015 |
| 8 |
Natural convection in an inclined rectangular enclosure filled by CuO-H2O nanofluid, with sinusoidal temperature distribution
Bouhalleb M, Abbassi H
International Journal of Hydrogen Energy, 40(39), 13676, 2015 |
| 9 |
Effect of 3D fiber orientation on permeability of realistic fibrous porous networks
Soltani P, Johari MS, Zarrebini M
Powder Technology, 254, 44, 2014 |
| 10 |
A two-phase model for dry density-varying granular flows
Sheng LT, Tai YC, Kuo CY, Hsiau SS
Advanced Powder Technology, 24(1), 132, 2013 |
