Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Mohammad Amir Sattari"'
1
Akademický článek
Applications of Discrete Wavelet Transform for Feature Extraction to Increase the Accuracy of Monitoring Systems of Liquid Petroleum Products
Autor: Mohammed Balubaid, Mohammad Amir Sattari, Osman Taylan, Ahmed A. Bakhsh, Ehsan Nazemi
Publikováno v: Mathematics, Vol 9, Iss 24, p 3215 (2021)
This paper presents a methodology to monitor the liquid petroleum products which pass through transmission pipes. A simulation setup consisting of an X-ray tube, a detector, and a pipe was established using a Monte Carlo n-particle X-version transpor
Externí odkaz: https://doaj.org/article/e1da96a397f94526a527afb1d7ee57e3
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2
Akademický článek
Frequency Domain Feature Extraction Investigation to Increase the Accuracy of an Intelligent Nondestructive System for Volume Fraction and Regime Determination of Gas-Water-Oil Three-Phase Flows
Autor: Osman Taylan, Mohammad Amir Sattari, Imene Elhachfi Essoussi, Ehsan Nazemi
Publikováno v: Mathematics, Vol 9, Iss 17, p 2091 (2021)
In this research, a methodology consisting of an X-ray tube, one Pyrex-glass pipe, and two NaI detectors was investigated to determine the type of flow regimes and volume fractions of gas-oil-water three-phase flows. Three prevalent flow patterns—n
Externí odkaz: https://doaj.org/article/4fc7c90bf4ab4fef9d0261eb65f9e474
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3
Akademický článek
Application of Gamma Attenuation Technique and Artificial Intelligence to Detect Scale Thickness in Pipelines in Which Two-Phase Flows with Different Flow Regimes and Void Fractions Exist
Autor: Mohammed Alamoudi, Mohammad Amir Sattari, Mohammed Balubaid, Ehsan Eftekhari-Zadeh, Ehsan Nazemi, Osman Taylan, El Mostafa Kalmoun
Publikováno v: Symmetry, Vol 13, Iss 7, p 1198 (2021)
Scale deposits can reduce equipment efficiency in the oil and petrochemical industry. The gamma attenuation technique can be used as a non-invasive effective tool for detecting scale deposits in petroleum pipelines. The goal of this study is to propo
Externí odkaz: https://doaj.org/article/09d82b16a0bc4119b56d99872e63a17f
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4
Akademický článek
Application of Feature Extraction and Artificial Intelligence Techniques for Increasing the Accuracy of X-ray Radiation Based Two Phase Flow Meter
Autor: Abdulrahman Basahel, Mohammad Amir Sattari, Osman Taylan, Ehsan Nazemi
Publikováno v: Mathematics, Vol 9, Iss 11, p 1227 (2021)
The increasing consumption of fossil fuel resources in the world has placed emphasis on flow measurements in the oil industry. This has generated a growing niche in the flowmeter industry. In this regard, in this study, an artificial neural network (
Externí odkaz: https://doaj.org/article/f1d90587a0ef476cbd1abbceda044d6b
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7
A miniaturized Wilkinson power divider with 12th harmonics suppression
Autor: Aria Hosseini Tabatabaee, Farzin Shama, Saeed Veysifard, Mohammad Amir Sattari
Publikováno v: Journal of Electromagnetic Waves and Applications. 35:371-388
In this study, a miniaturized Wilkinson Power Divider (WPD) has been designed. Central frequency of the passband for designed power divider (PD) is 1.55 GHz. Using the oval and rectangular- shaped ...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5a9540152d101404d79bab8a83b0cb9
https://doi.org/10.1080/09205071.2020.1839570
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8
Thermodynamic properties of the bubble growth process in a pool boiling of water-ethanol mixture two-component system
Autor: Mohammad Amir Sattari, Leila Mahdavian
Publikováno v: Open Chemistry, Vol 17, Iss 1, Pp 88-95 (2019)
Saturated pool boiling in a two-component water-ethanol solution was studied at a pressure of one atmosphere in a horizontal stainless steel cylinder. Solutions with volumes of 3%, 7%, and 12% of water-ethanol solution were examined at a heat flux of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1538bce196b1fe27ac4a95a7befcef5
https://doi.org/10.1515/chem-2019-0010
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9
Application of Feature Extraction and Artificial Intelligence Techniques for Increasing the Accuracy of X-ray Radiation Based Two Phase Flow Meter
Autor: Osman Taylan, Abdulrahman Basahel, Ehsan Nazemi, Mohammad Amir Sattari
Publikováno v: Mathematics, Vol 9, Iss 1227, p 1227 (2021)
Mathematics
Volume 9
Issue 11
The increasing consumption of fossil fuel resources in the world has placed emphasis on flow measurements in the oil industry. This has generated a growing niche in the flowmeter industry. In this regard, in this study, an artificial neural network (
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b49952f6b413f6ac8c926be30abb2c3c
https://www.mdpi.com/2227-7390/9/11/1227
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10
Simulation study of utilizing X-ray tube in monitoring systems of liquid petroleum products
Autor: Gholam Hossein Roshani, Peshawa Jammal Muhammad Ali, Shivan Mohammed, Robert Hanus, Lokman Abdulkareem, Adnan Alhathal Alanezi, Mohammad Amir Sattari, Saba Amiri, Ehsan Nazemi, Ehsan Eftekhari-Zadeh, El Mostafa Kalmoun
Publikováno v: Processes
Volume 9
Issue 5
Processes, Vol 9, Iss 828, p 828 (2021)
Radiation-based instruments have been widely used in petrochemical and oil industries to monitor liquid products transported through the same pipeline. Different radioactive gamma-ray emitter sources are typically used as radiation generators in the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1bbc357b03d8b0dc6bdefc20881b6353
https://hdl.handle.net/10067/1789950151162165141
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