Assessment of the Effects of Hot Air Jets on Iranian Bread Baking

  • سال انتشار: 1388
  • محل انتشار: دوازدهمین کنفرانس دینامیک شاره ها
  • کد COI اختصاصی: CFD12_212
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 2823
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نویسندگان

Seyed Mostafa Hosseinalipour

Assistant Professor Faculty of Mechanical Engineering, Iran Univ. of Science & Tech.

Mehdi Bahiraei

Ph.D. Student Faculty of Mechanical Engineering, Iran Univ. of Science & Tech.

Ehsan Taheran

MSc Student Faculty of Mechanical Engineering, Iran Univ. of Science & Tech.

Payman Taherkhani

MSc Student Faculty of Mechanical Engineering, Iran Univ. of Science & Tech.

چکیده

In this study, an experimental impinging jet oven equipped with an online data acquisition system was developed. A software pack was 'Mitten for data acquisition. The baking experiences were carried out at oven temperatures of 150, 175, 200, 225 and 250°C and five different jet velocities. Then, 1025 series of acquired data were employed in Neural network (NN) training and testing process. This NN was able to predict bread moisture and thickness variations as a function of bread temperature, baking time and jet temperature and velocity. The best NN structure, regarding the minimum difference between experimental and NN outputs, consisted of one hidden layer with 12 neurons which predicts bread moisture and thickness variations reasonably good for the period of baking. R2 of NN outputs in comparison with experimental results were obtained 0.969 for moisture and 0.958 for thickness.

کلیدواژه ها

Impinging Jets, Experimental, Iranian Bread, Measurement, Neural Network

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