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Mohammad Hossein Ahmadi

Researcher at University of Shahrood

Publications -  557
Citations -  16625

Mohammad Hossein Ahmadi is an academic researcher from University of Shahrood. The author has contributed to research in topics: Nanofluid & Exergy. The author has an hindex of 60, co-authored 477 publications receiving 11659 citations. Previous affiliations of Mohammad Hossein Ahmadi include Mazandaran University of Medical Sciences & Bu-Ali Sina University.

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Thermodynamic Analysis and Comparison of Performances of Air Standard Atkinson, Otto, and Diesel Cycles with Heat Transfer Considerations

TL;DR: In this paper, the authors compared the performance of three air standard cycles, namely, the Otto, Atkinson, and Diesel air standard cycle, with respect to parameters such as variable specific heat ratio, heat transfer loss, frictional loss, and internal irreversibility.
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Thermodynamic optimization criterion for practical Meletis–Georgiou cycle

TL;DR: In this paper , an irreversible Meletis-Georgiou heat engine cycle (IMGC) model with irreversible heat transfer loss (IHTL) as well as internal irreversibility loss (IIL) is built by applying finite-time thermodynamic theory.
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Thermodynamic Assessment and Optimization of Performance of Irreversible Atkinson Cycle

TL;DR: In this article, the Pareto optimal frontier which provides an ultimate optimum solution is chosen utilizing various decision-making approaches, containing fuzzy Bellman-Zadeh, LINMAP, and TOPSISIS.
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Enduring effect of permeability texture for enhancing accuracy and reducing uncertainty of reservoir fluid flow through porous media

TL;DR: In this article, the authors used a modified version of the SPE 10 solution project as a pioneer case for investigating the efficiency of these methods and paralleling them with the kriging-based one.
Proceedings ArticleDOI

Meeting the Electrical Energy Needs of a Residential Building with a Wind-Photovoltaic Hybrid System

TL;DR: In this article, a complete hybrid system including a photocell and a wind turbine with battery storage is modeled, and the best approach forsizing the system to meet the electrical energy needs of a residential building is investigated.