Zahra Sheykhani Nejad Fallah; Mortreza Zangeneh; Narges Banaeian
Abstract
The aim of this study is to examine the impact of temperature (55, 65, and 75 ℃) and phase change materials (PCM) on four measurable factors: total energy consumption, specific energy consumption (SEC), drying time, and consistency of drying. Six treatments were achieved by combining independent variables. ...
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The aim of this study is to examine the impact of temperature (55, 65, and 75 ℃) and phase change materials (PCM) on four measurable factors: total energy consumption, specific energy consumption (SEC), drying time, and consistency of drying. Six treatments were achieved by combining independent variables. The pre-treatment for drying involved using an infrared power of 250 W for 10 minutes, followed by a microwave power of 400 W for 4 minutes. Enzyme removal was done in a layered fixed bed dryer. The research utilized a randomized complete block design with four replications for the variables of total energy consumption, specific energy consumption, and drying time. The variable of uniformity was repeated six times as part of the factorial experiment. The data analysis was conducted using the IBM SPSS Statistics 26 program. Copeland's method integration approach was utilized to determine the optimal treatment. According to the findings, the treatments had an insignificant impact on total energy consumption. The most energy-efficient treatment was observed to be at 75°C without PCM, with a recorded value of 1.02 kWh/kg. The best treatment in terms of total energy consumption, specific energy consumption, and drying time was found to be at a temperature of 75℃ without the use of PCM.
Mortreza Zanganeh; Asadolah Akram
Abstract
In this research, different strategies were developed to establish an agricultural service center in terms of the number and capacity of services provided. A separate location model was developed to locate agricultural service centers for each solution. For this purpose, the location-allocation model ...
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In this research, different strategies were developed to establish an agricultural service center in terms of the number and capacity of services provided. A separate location model was developed to locate agricultural service centers for each solution. For this purpose, the location-allocation model was used to develop the location models and the branch and bound algorithm to solve the models. The main purpose of these models was to minimize the cost of deploying agricultural service centers (including start-up and shipping costs to the point of service). In the model solved in this study, measures such as cost of establishment, cost of service start-up, distance between service center to customers, transportation costs and number of trips required to meet each customer's demand were considered. In this study, in order to show the practical capabilities of developed methods and models, a case study was conducted in Razan city, in Hamadan Province. After implementation of the location-allocation model, the optimal locations to establish agricultural service centers in all villages of the area were determined separately. The results of this study can be used by national and regional managers and planners in locating agricultural service and planning centers to provide services to agricultural users.
