Výsledky vyhledávání - "Siamak Kazemzadeh"

Akademický článek

Numerical Study on the Ferrofluid Droplet Splitting in a T-junction ‎with Branches of Unequal Widths using Asymmetric Magnetic Field‎

Autor: Mohammad Aboutalebi, Mohammad Behshad Shafii, Siamak Kazemzadeh Hannani

Publikováno v: Journal of Applied and Computational Mechanics, Vol 9, Iss 2, Pp 357-370 (2023)

Research on the microdroplet splitting phenomenon has intensified in recent years. Microdroplet splitting has numerous applications in chemical synthesis, biology, and separation processes. The current paper covers the numerical study of ferrofluid m

Externí odkaz: https://doaj.org/article/862772424ebd4321a7a82c7b86e25c45

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Akademický článek

Design of the micropump and mass-transfer compartment of a microfluidic system for regular nonenzymatic glucose measurement

Autor: Armita Najmi, Mohammad Said Saidi, Siamak Kazemzadeh Hannani

Publikováno v: Biotechnology Reports, Vol 34, Iss , Pp e00723- (2022)

The aim of this paper is to design and numerically simulate the mass-transfer compartment and piezoelectric micropump of an implantable integrated microfluidic device for regular microdialysis-based nonenzymatic measurement of glucose level in diabet

Externí odkaz: https://doaj.org/article/95731a846f8c44dfae9459c1a14276e9

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Evaluating Joule heating influence on heat transfer and entropy generation in MHD channel flow: A parametric study and ill-posed problem solution using PINNs

Autor: Ghaderi, Ehsan, Bijarchi, MohammadAli, Hannani, Siamak Kazemzadeh, Nouri-Borujerdi, Ali

In this study the effects of Joule heating parameter on entropy generation and heat transfer in MHD flow inside a channel is investigated by means of Physics-Informed Neural Networks (PINNs) in form of a parametric analysis in addition to exploring t

Externí odkaz: http://arxiv.org/abs/2406.15810

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Parametric and inverse analysis of flow inside an obstructed channel under the influence of magnetic field using physics informed neural networks

Autor: Ghaderi, Ehsan, Bijarchi, MohammadAli, Hannani, Siamak Kazemzadeh, Nouri-Borujerdi, Ali

In this study, fluid flow inside of an obstructed channel under the influence of magnetic field has been analyzed using physics informed neural networks(PINNs). Governing equations have been utilized in low-order form and the solution has been obtain

Externí odkaz: http://arxiv.org/abs/2404.17261

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Akademický článek

The impact of narrow personality traits on entrepreneurial intention in developing countries: A comparison of Turkish and Iranian undergraduate students using ordered discrete choice models

Autor: Ali Kemal Çelik, Tayfun Yıldız, Zafer Aykanat, Siamak Kazemzadeh

Publikováno v: European Research on Management and Business Economics, Vol 27, Iss 1, Pp 100138- (2021)

This study aimed to examine the potential determinants of the entrepreneurial intention (EI) levels of Turkish and Iranian undergraduate students with an emphasis on the narrow personality traits that could predict such students’ EI levels. For thi

Externí odkaz: https://doaj.org/article/6c1e5f6f2d6e46f7b09bb92451e9f885

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