M
M. Mehdi Afsahi
Researcher at Shahid Bahonar University of Kerman
Publications - 25
Citations - 292
M. Mehdi Afsahi is an academic researcher from Shahid Bahonar University of Kerman. The author has contributed to research in topics: Hydrogen & Heat flux. The author has an hindex of 8, co-authored 25 publications receiving 231 citations. Previous affiliations of M. Mehdi Afsahi include University of Cambridge & Amirkabir University of Technology.
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CFD simulation of melting process of phase change materials (PCMs) in a spherical capsule
TL;DR: In this paper, the authors focused on CFD simulation of constrained melting of Phase Change Materials (PCMs) in a spherical container, and the results indicated the existence of thermally stable layers on the top of the sphere.
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Green synthesis of the Fe3O4@polythiophen-Ag magnetic nanocatalyst using grapefruit peel extract: Application of the catalyst for reduction of organic dyes in water
TL;DR: In this article, the Fe3O4@polythiophen-Ag magnetic nanocatalyst was synthesized and used to degrade azo dyes (methyl orange (MO) and methylene blue (MB)) to evaluate its catalytic performance.
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Biosynthesis of Au nanoparticles supported on Fe3O4@polyaniline as a heterogeneous and reusable magnetic nanocatalyst for reduction of the azo dyes at ambient temperature
TL;DR: Gold nanoparticles, as a nanocatalyst with excellent activity, were prepared through the reduction of Au3+ using a wild herbal extract without any toxic chemical compounds and harmful materials and its performance has been evaluated to reduce Methylene Blue and Methyl Orange from aqueous solutions.
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Simulating reduction of in-flight particles of magnetite concentrate by carbon monoxide
TL;DR: In this paper, a mathematical model was developed for simulating the motion of particles in a CO-Ar gaseous mixture within the reactor, and pre-designed experiments were carried out in a fabricated experimental set-up for validating the model.
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Statistical analysis of the effective factors on the 28 days compressive strength and setting time of the concrete
TL;DR: The effects of various factors on the concrete compressive strength and also initial setting time have been investigated and simple and applicable formulas with less than 6% absolute mean error have been developed using the genetic algorithm to predict these parameters.