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Articles by Farshad Arvin
Total Records ( 2 ) for Farshad Arvin
  Marjan Javanmard , Johari Endan , K. A. Abbas and Farshad Arvin
  Problem statement: This study presented a semi-industrial fruit dryer machine which is useful to dry different types of fruit. The drying process and its functions are selectable by user to obtain a multi dryer system. Approach: A microcontroller base controller that enables to simultaneous monitoring was utilized. There are two types of sensors as the inputs of system which are temperature and humidity. The output of sensors continuously was monitored with the main processor and given functions based on fruit types are executed. The selected fruits were put on trays in batch dryer. Results: Presented system was tested on three different fruits which have differences in texture and moisture content. The optimum drying temperature where provided because the product would be dried without burning. The material moisture content decreased throughout the drying process. A cause study was done to illustrate the effectiveness of the designed dryer. Conclusion: Several performed results illustrated the amenability of proposed system as the multi-fruit dryer machine.
  Farshad Arvin , Shyamala Doraisamy and Marjan Javanmard
  In the present study, a fruit dryer system that is controlled based on fuzzy logic is presented. A laboratory scale cabinet was developed which includes four sensors in different lengths for monitoring the cabin temperature and humidity. Fuzzy base controller is a new monitoring technique in food industrial machines that utilize sensors captured values as its input parameters to make a suitable decision according to temperature values. Furthermore, to implement the fuzzy system, a microcontroller base monitoring system is developed. Microcontroller captured temperature samples and converted them in to digital values. Output of the fuzzy controller will control the speed of the fan and power of the heater. Several performed results indicated the amenability of the proposed monitoring system as a drying machine main controller in different drying curves. Fluctuation of the cabin temperature with fuzzy control was smoother than non-fuzzy control. Nevertheless, fuzzy control has a significant influence on the power consumption as well.
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