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471.
Khfagi Amir Mohamed Hunt Graeme Paul Manosh C. Karimi Nader 《Journal of Thermal Analysis and Calorimetry》2022,147(21):12093-12110
Journal of Thermal Analysis and Calorimetry - This work investigates heat transfer and entropy generation of a turbulent flow of an Al2O3–Cu/water hybrid nanofluid in a plain tube (PT) with... 相似文献
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Javidi Sarafan Mahnaz Alizadeh Rasool Fattahi Abolfazl Valizadeh Ardalan Mostafa Karimi Nader 《Journal of Thermal Analysis and Calorimetry》2020,141(5):2145-2164
Journal of Thermal Analysis and Calorimetry - Transfer of heat and mass and thermodynamic irreversibilities are investigated in a porous, parallel-plate microreactor in which the working fluid is... 相似文献
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Sayed Z. Mohammadi Mohammad A. Karimi Daryoush Afzali Fatemeh Mansouri 《Central European Journal of Chemistry》2010,8(6):1273-1280
Two series of activated carbon have been prepared by chemical activation of Amygdalus Scoparia shell with phosphoric acid or zinc chloride for the removal of Pb(II) ions from aqueous solutions. Several methods were employed
to characterize the active carbon produced. The surface area was calculated using the standard Brunauer-Emmet-Teller method.
The microstructures of the resultant activated carbon were observed by scanning electron microscopy. The chemical composition
of the surface resultant activated carbon was determined by Fourier transform infrared spectroscopy. In the batch tests, the
effect of pH, initial concentration, and contact time on the adsorption were studied. The data were fitted with Langmuir and
Freundlich equations to describe the equilibrium isotherms. The maximum adsorption capacity of Pb(II) on the resultant activated
carbon was 36.63 mg g−1 with H3PO4 and 28.74 mg g−1 with ZnCl2. To regenerate the spent adsorbents, desorption experiments were performed using 0.25 mol L−1 HCl. Here we propose that the activated carbon produced from Amygdalus Scoparia shell is an alternative low-cost adsorbent for Pb(II) adsorption. 相似文献
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In this study, the effects of buoyancy on heat and fluid flow within and around a coal stockpile are numerically investigated
by both a FORTRAN code and the commercially available CFD-ACE software. Numerical simulations are backed up by theoretical
results based on scale analysis. Transient variation of maximum temperature inside the coal stockpile is monitored for different
coal properties. Besides, the effects of reduction of the stockpile porosity on the prevention of self-heating are studied.
In doing so, on top of numerical results and as an independent prediction tool, Bejan’s Intersection of Asymptotes method
is applied to find the optimum porosity of the stockpile. Finally, the energy flux vectors are used to track the correct path
of energy transportation in the computational domain. 相似文献
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