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Mohammad Mehdi Rashidi

Mohammad Mehdi Rashidi Mail
Tongji University, China

Professor

ENN-Tongji Clean Energy Institute of Advanced Studies

Shanghai Automotive Wind Tunnel Center

 

Scopus profile: link

GoogleScholar profile: link

ID ORCID: https://orcid.org/0000-0002-6309-8688

 

Selected Publications:

1. Astanina, M. S., Rashidi, M. M., Sheremet, M. A., Lorenzini, G. (2019). Effect of porous insertion on convective energy transport in a chamber filled with a temperature-dependent viscosity liquid in the presence of a heat source term. International Journal of Heat and Mass Transfer, 144, 118530. doi: https://doi.org/10.1016/j.ijheatmasstransfer.2019.118530 

2. Usman, M., Hamid, M., Rashidi, M. M. (2018). Gegenbauer wavelets collocation-based scheme to explore the solution of free bio-convection of nanofluid in 3D nearby stagnation point. Neural Computing and Applications, 31(11), 8003–8019. doi:10.1007/s00521-018-3625-8. doi: https://doi.org/10.1007/s00521-018-3625-8 

3. Ma, Y., Rashidi, M. M., Yang, Z. (2018). Numerical simulation of flow past a square cylinder with a circular bar upstream and a splitter plate downstream. Journal of Hydrodynamics, 31 (5), 949–964. doi: https://doi.org/10.1007/s42241-018-0087-5 

4. Khalil, H., Khan, R. A., Baleanu, D., Rashidi, M. M. (2019). Some new operational matrices and its application to fractional order Poisson equations with integral type boundary constrains. Computers & Mathematics with Applications, 78 (6), 1826–1837. doi: https://doi.org/10.1016/j.camwa.2016.04.014 

5. Ma, Y., Mohebbi, R., Rashidi, M. M., Yang, Z. (2019). Koo–Kleinstreuer–Li correlation for simulation of nanofluid natural convection in hollow cavity in existence of magnetic field. Journal of Thermal Analysis and Calorimetry, 137 (4), 1413–1429. doi: https://doi.org/10.1007/s10973-019-08038-6 

6. Ma, Y., Mohebbi, R., Rashidi, M. M., Yang, Z. (2019). MHD convective heat transfer of Ag-MgO/water hybrid nanofluid in a channel with active heaters and coolers. International Journal of Heat and Mass Transfer, 137, 714–726. doi: https://doi.org/10.1016/j.ijheatmasstransfer.2019.03.169 

7. Singh, J., Rashidi, M. M., Sushila, Kumar, D. (2017). A hybrid computational approach for Jeffery–Hamel flow in non-parallel walls. Neural Computing and Applications, 31 (7), 2407–2413. doi: https://doi.org/10.1007/s00521-017-3198-y