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OPTIMIZATION OFMICROWAVE DRYING FOR FOODS

عنوان مقاله: OPTIMIZATION OFMICROWAVE DRYING FOR FOODS
شناسه ملی مقاله: MEDC01_014
منتشر شده در نخستین کنفرانس خاورمیانه ای خشک کردن در سال 1390
مشخصات نویسندگان مقاله:

Danial DEHNAD - Department of Food Materials and Process Design Engineering, Faculty of Food Science and Technology, University of Agricultural Sciences and Natural Resources Basidj Square, Pardis, Gorgan, Iran
Seid Mahdi JAFARI - Department of Food Materials and Process Design Engineering, Faculty of Food Science and Technology, University of Agricultural Sciences and Natural Resources Basidj Square, Pardis, Gorgan, Iran
Vahid GHAMBARI - Department of Food Materials and Process Design Engineering, Faculty of Food Science and Technology, University of Agricultural Sciences and Natural Resources Basidj Square, Pardis, Gorgan, Iran
Mohammad GANJE - Department of Food Materials and Process Design Engineering, Faculty of Food Science and Technology, University of Agricultural Sciences and Natural Resources Basidj Square, Pardis, Gorgan, Iran

خلاصه مقاله:
Optimization opens up the possibility of achieving the best case among the possible alternatives. The formal description of any optimization problem has three parts: set of variables, set of requirements and measure of performance (to compare). Two important factors which must be optimized in microwave drying are power output and temperature distribution inside the sample. Also, sample dimension and heating time should be optimized to prevent overheating and under-heating during microwave drying of foods. RSM simplicity, ease of application, and wide acceptability has made this method one of the most utilized ones in food drying optimization applications. In Neural Networks system, the networks .learn. the behavior of a system when supplied with sets of data made of input and output values. The quadratic model can be used to predict a point of optimum (minimum or maximum), and thus, the optimum conditions of drying processes.

کلمات کلیدی:
Temperature Distribution, Response Surface Method

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/162548/