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M

M. Haghshenas Fard

Researcher at Isfahan University of Technology

Publications -  7
Citations -  346

M. Haghshenas Fard is an academic researcher from Isfahan University of Technology. The author has contributed to research in topics: Structured packing & Pressure drop. The author has an hindex of 4, co-authored 7 publications receiving 308 citations. Previous affiliations of M. Haghshenas Fard include Islamic Azad University.

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Numerical study of convective heat transfer of nanofluids in a circular tube two-phase model versus single-phase model

TL;DR: In this paper, the effect of nanoparticle sources, nanoparticle volume fraction and nanofluid Peclet number on heat transfer rate was investigated using a CFD 1 approach.
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CFD Simulation of Mass Transfer Efficiency and Pressure Drop in a Structured Packed Distillation Column

TL;DR: In this article, the authors used a commercial CFD package, CFX version 10.0, to predict dry pressure drop, irrigated pressure drop and mass transfer efficiency for two-phase flow in a structured packed column.
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Numerical simulation of a supercritical CO2 geothermosiphon

TL;DR: In this article, the performance of a CO2 geothermosiphon has been numerically investigated using the commercially available software CFX, and a simple Engineered (or Enhanced) Geothermal System, EGS, consisting of an injection and a production well as well as a reservoir is numerically simulated.
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Evaluation of Pressure Drop and Mass-Transfer Characteristics of a Structured Packing for Production and Separation of Food Flavours: Part II: Mass-transfer Characteristics

TL;DR: In this paper, the authors present the results of mass-transfer characterisation, and application to the real food flavors, and compare with random packings of similar specific surface area, which showed that structured packing had 15% lower HETPs at high vapour loads.

Forced boiling of nanofluids, effects of contact angle and surface wettability

TL;DR: In this paper, the boiling characteristics of different nanofluids were studied numerically using a CFD approach, and the results of CFD simulation based on two-phase models were compared with experimental data.