A5045480106- Food Drying and Modeling
- Microbial Inactivation Methods
- Greenhouse Technology and Climate Control
- Radiative Heat Transfer Studies
- Solar Thermal and Photovoltaic Systems
- Microencapsulation and Drying Processes
- Heat Transfer and Optimization
- Freezing and Crystallization Processes
- Heat Transfer Mechanisms
- Nuts composition and effects
- Photovoltaic System Optimization Techniques
- Energy Load and Power Forecasting
- Essential Oils and Antimicrobial Activity
- Ginger and Zingiberaceae research
- Horticultural and Viticultural Research
- Advanced Chemical Sensor Technologies
- Plant Water Relations and Carbon Dynamics
- Phytochemicals and Antioxidant Activities
- Solar Radiation and Photovoltaics
Shahrekord University
2024
National University of Skills
2020-2023
Islamic Azad University, Tehran
2023
As the main drying systems used in different industries, convective dryers are associated with some elementary shortcomings. Combination of and infrared power could result shorten process time, uniform heating, efficient energy consumption, high-quality dried products. In this study, 3 mm carrot slices were by practicing air temperatures, powers irradiation distances. Response surface methodology was also to optimize variables. The average diffusivity varied range 2.01 × 10−10–12.10 10−10...
The present work dealt with a detailed energy and exergy analysis for potatoes drying in hybrid infrared/hot air dryer. Studying optimization factors of temperature velocity infrared power, response surface methodology (RSM) was also used to model optimize performance the dryer based on thermodynamic responses including time, loss, destruction, efficiencies. results revealed that practicing higher temperatures lower powers generally resulted better performance. Although velocities enhanced...
Abstract The present study was designed for the experimental and modeling investigations on thermodynamic analysis of drying onion slices using four microwave power levels (100, 350, 500, 750 W) samples thicknesses (2.5, 5, 7.5, 10 mm). A multilayer feedforward artificial neural network employed in order to predict energy exergy performance dryer prediction success were compared three evaluation criteria. average values efficiency specific loss ranged from 13.52% 37.94% 1.35 7.43 MJ/kg water...
The effect of ultrasonic pre-treatment on moisture removal characteristics ginger in a convective dryer was investigated. slabs were dried by practicing sonication durations 0, 15 and 30 min at different levels the air temperature velocity. Following increasing duration temperature, required time energy to dehydrate samples decreased. played important role improving rehydration capability surface color retention gingers. Content main volatile component (α-Zingiberene) not influenced...
Artificial intelligence (AI) has become increasingly popular as a tool to model, identify, optimize, forecast, and control renewable energy systems. This work aimed evaluate the capability of artificial neural network (ANN) procedure model forecast solar power outputs photovoltaic systems (PVPSs) by using meteorological data. For this purpose, based on literature review, important factors affecting generation in PVPS were selected inputs, recurrent (RNN) architecture was established. After...
The evaluation of a production system to analyze greenhouse gases is one the most interesting challenges for researchers. aim present study model almond nut based on inputs by employing artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) procedures. To predict yield with respect energy inputs, several ANN ANFIS models were developed, evaluated, compared. Among developed ANNs, network an architecture 8-12-1 log-sigmoid, linear transfer function in hidden...