Seyed Reza Hassan-Beygi

Seyed Reza Hassan-Beygi

orcid
Professor, University of Tehran

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2016 in Fuel
Verified
Journal Article
Closed access
MSMohammad Reza Seifi
Mohammad Reza Seifi
SHSeyed Reza Hassan-Beygi
Seyed Reza Hassan-Beygi
BGBarat Ghobadian
Barat Ghobadian
Umberto DesideriUmberto Desideri
Umberto Desideri
MAMarco Antonelli
Marco Antonelli

10 February 2015 in Journal of Food Processing and Preservation
Verified
Journal Article
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PDF file
MAMohammad Aboonajmi
Mohammad Aboonajmi
MJMehdi Jahangiri
Mehdi Jahangiri
SHSeyed Reza Hassan-Beygi
Seyed Reza Hassan-Beygi
In recent years, quality assessment of agricultural materials and food products by acoustic analysis has been one of the major research areas in the field of post‐ and preharvest technology. Acoustic properties of food can be used to indicate numerically important quality attributes such as crunchiness, crispness, firmness, water activity and so on. Physical characteristics and other quality parameters that attribute to the internal quality of agriculture and manufactured foods can be measured by this nondestructive method. The present study introduces briefly the acoustic properties of agro‐food products as well as outlines the importance and application of this technology in food and agricultural industries, where still further research is required to fully comprehend this technology. Practical Applications The review summarizes knowledge about application of acoustic for quality assessment of agro‐food products. If the knowledge and the presented techniques are combined and applied in an innovative and carefully planned way, commercial applications of these techniques will be beneficial for the consumer as well as the growers and traders. The risk of buying poor‐quality products will significantly decrease, the income of fruit growers corresponding to the quality of their products will increase and merchants will be able to comply with consumer demands for uniform high‐quality products.

30 October 2009 in Journal of Food Processing and Preservation
Verified
Journal Article
Closed access
PDF file
MAMortaza Aghbashlo
Mortaza Aghbashlo
MKMohammad Hossien Kianmehr
Mohammad Hossien Kianmehr
SHSeyed Reza Hassan-Beygi
Seyed Reza Hassan-Beygi
The effect of air temperature and velocity on the drying kinetics of sour cherry was investigated using a laboratory scale static‐type dryer at air temperatures of 60, 70 and 80C and air velocities of 0.3, 0.6 and 0.9 m/s. The Weibull distribution model was fitted to experimental data using nonlinear regression analysis techniques in the MATLAB computer program. The high regression coefficients (R2 > 0.998) and low reduced chi‐square and root mean square error indicated that the Weibull model is suitable for predicting moisture ratio. Correlations of the Weibull model constants with the variables T and V were determined. The effective diffusivity of sour cherry varied between 3.46 × 10‐9 and 13.08 × 10‐9 m2/s. The activation energy of sour cherry was in the range of 64.39–66.05 kJ/mol. Rehydration tests indicated that the rehydration capacity of dried samples at air temperature of 70C and air velocity of 0.3 m/s is better than other experiments. PRACTICAL APPLICATIONS All commercial flow dryers are designed based on thin‐layer drying principles. One of the most important aspects of drying technology is the modeling of the drying process. The prediction of drying kinetics of agricultural products under various conditions is very useful in design and optimization of dryers. In this paper, the Weibull distribution model is used for modeling thin‐layer drying of sour cherry. Weibull's model constants include the effect of drying variable on drying kinetics and could be a useful tool for the modeling of drying kinetics. The rehydration characteristics of a dried product are used as a quality index and they indicate the physical and chemical changes during drying as influenced by processing conditions, sample pretreatment and composition. Optimizing the drying conditions in order to obtain the dried product with good rehydration characteristics is vital, since rehydration governs the subsequent operations.

1 August 2019 in Energy
Verified
Journal Article
Closed access
MSMohammad Reza Seifi
Mohammad Reza Seifi
Umberto DesideriUmberto Desideri
Umberto Desideri
ZGZahra Ghorbani
Zahra Ghorbani
MAMarco Antonelli
Marco Antonelli
SFStefano Frigo
Stefano Frigo
BGBarat Ghobadian
Barat Ghobadian

1 August 2015 in Energy Procedia
Verified
Journal Article
Open access
NSNeamat Keramat Siavash
Neamat Keramat Siavash
Gholamhassan NajafiGholamhassan Najafi
Gholamhassan Najafi
SHSeyed Reza Hassan-Beygi
Seyed Reza Hassan-Beygi
BGBarat Ghobadian
Barat Ghobadian
Fuel type has a direct effect on the quality of IC engine's combustion phenomenon. One of the most important quality parameters that can be fluctuated by fuel type is engine noise. The purpose of this study is to analyze the noise parameter of a diesel engine using B0, B5 (5% vol., biodiesel and 95% vol., diesel blends), B10, B15, B20, B25 and B30 biodiesel–diesel blends. This study was carried out at stationary position and at three positions such driver's left ear position (Drivers Left Ear Position-DLEP), 1.5 meter (1.5 meter Away From Exhaust-MAFE) and 7.5 meters (7.5 meter Away From Exhaust-MAFE) away from exhaust at 6 engine speeds (1200, 1400, 1600, 1800, 2000 & 2200 RPM). The results proved that the lowest and highest Sound Pressure Level (SPL) of power tiller takes place at B10, and B30 respectively. The SPL increased by 7.8dB for increasing engine speed from 1200 to 2200 RPM. The test results showed that the average SPL at DLEP was 4.3dB higher than 7.5 MAFE position. The dominant frequency of engine noise was315Hz that exhaust structure is the source of it. In this frequency SPL of B10 was, 23%lower than thefuelB30 (a mixture of 30percentbiodiesel and70percentdieselfuel, respectively). The slightest and strongest sound by using theB10, B30 fuel mixture was produced respectively

1 January 2008 in American Journal of Agricultural and Biological Sciences
Verified
Journal Article
Open access
PDF file
MAMortaza Aghbashlo
Mortaza Aghbashlo
MKMohammad Hossein Kianmehr
Mohammad Hossein Kianmehr
SHSeyed Reza Hassan-Beygi
Seyed Reza Hassan-Beygi
Berberis fruit was known as a medicinal and ornamental plant in the world. It is used in medicine to cure the liver, neck and stomach cancer, blood purification and mouth scent. In order to design of equipments and facilities for the drying, preservation and processing of berberis, it is necessary to know about the specific heat and thermal conductivity. Therefore, the objectives of this study were to determine the specific heat and thermal conductivity of berberis as well as to develop mathematical models for estimation of them. The method of mixtures and hot wire as a heating source was used for measuring the specific heat and thermal conductivity of berberis fruit, respectively. The selected variables to simulate variations of berberis thermal properties were moisture content and temperature. The measurements were done at 50, 60 and 70°C temperature levels and 19.3%, 38.5%, 55.4% and 74.3% (w.b) moisture content levels. The results show that the specific heat and thermal conductivity of berberis increased linearly from 1.9653 to 3.2811 kJ/kg°C and 0.1324 to 0.4898 W/m°C, respectively with increase in the experimental range of the variables. However, the effect of moisture content on increasing the specific heat and thermal conductivity is more than that of temperature. Regression equations were established which could be used to reasonably estimate the values of the specific heat and thermal conductivity as a function of specified moisture content and temperature