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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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An innovative workflow for selecting appraisal area in low permeability greenfield development under uncertainties

TL;DR: This study presents a novel systematic and quantitative approach consisting of a better representative of reservoir features and determines the optimum appraisal area based on the Probabilistic Appraisal Opportunity Index (PAOI).
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Flat Unglazed Transpired Solar Collector: Performance Probability Prediction Approach Using Monte Carlo Simulation Technique

TL;DR: In this paper , a correlation matrix was generated from the dataset prepared after solving the airflow over a perforated flat unglazed transpired solar collectors (UTCs) and the Monte Carlo simulation was used to predict the performance from random values of the flow parameters.
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Design and multi-scenario optimization of a hybrid power system based on a working gas turbine: Energy, Exergy, Exergoeconomic and Environmental evaluation

TL;DR: In this article , a novel hybrid power generation system based on environmentally friendly and cost-effective technologies to recover the waste heat of a working gas turbine is designed and assessed in different scenarios of multi-objective optimization from energy, exergy, exergoeconomic, and environmental (4E) perspectives.
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Comparison of GA-Optimized Viscoelastic Models for the Characterization of Compression Behavior of Warp-Knitted Spacer Fabrics

TL;DR: In this paper, four common physical models are introduced and compared in order to simulate compressional behavior of polyester Warp-Knitted Spacer Fabrics (WKSF) and the results showed that the Burger model has the highest adoption with 0.2 percent Mean Absolut Error (MAE).