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Sayyed Aboozar Fanaee

Researcher at University of Birjand

Publications -  27
Citations -  234

Sayyed Aboozar Fanaee is an academic researcher from University of Birjand. The author has contributed to research in topics: Combustion & Catalysis. The author has an hindex of 9, co-authored 22 publications receiving 165 citations. Previous affiliations of Sayyed Aboozar Fanaee include Ferdowsi University of Mashhad & Iran University of Science and Technology.

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Two-dimensional analytical model of flame characteristic in catalytic micro-combustors for a hydrogen–air mixture

TL;DR: In this article, a two-dimensional model was proposed to analyze combustion phenomenon in micro-combustors by using a two dimensional model and the main objective was to analyze the effects of main parameters such as reaction zone thickness, maximum temperature and quenching distance throughout the combustor under catalytic and non-catalytic conditions.
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Effect of hydrogen addition on conjugate heat transfer in a planar micro-combustor with the detailed reaction mechanism: An analytical approach

TL;DR: In this article, a steady state analytical investigation of conjugate heat transfer in a planar micro-combustor is presented by considering the detailed reaction mechanisms for a methane/air mixture with 10% and 20% hydrogen addition.
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Two-dimensional analytical investigation of conjugate heat transfer in a finite-length planar micro-combustor for a hydrogen-air mixture

TL;DR: In this paper, the authors investigated the conjugate heat transfer in a finite-length planar micro-combustor by using a two-dimensional analytical model and developed an appropriate correlation that is a combination of hyperbolic tangent and linear functions for estimating the wall temperature profile.
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Analytical two-dimensional modeling of hydrogen–air mixture in catalytic micro-combustor

TL;DR: In this article, the combustion phenomenon in catalytic micro-combustor by using a two-dimensional model is investigated, where the reaction zone thickness is considered as a variable parameter and predicted by the solution results of the present study.