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Mathematical modeling of thin layer drying of carrot slices by forced convection

Journal of Food Measurement and Characterization · Haziran 2017

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YÖKSİS Kayıtları
Mathematical modeling of thin layer drying of carrot slices by forced convection
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION · 2017 SCI
Prof. Dr. MEHMET MUSA ÖZCAN →
Mathematical modeling of thin layer drying of carrot slices by forced convection
Springer Science and Business Media LLC · 2016 SCI
Prof. Dr. HAKAN OKYAY MENGEŞ →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 20 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
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Makale Bilgileri

ISSN21934126
Yayın TarihiHaziran 2017
Cilt / Sayfa11 · 629-638
Özet The aim of this study is to evaluate the effect of drying air temperature, velocity and slice thickness on thin layer drying model of carrot slices. A laboratory dryer was used for thin layer carrot drying process and moisture ratio values (MR) for any drying time were compared using 14 different models, i.e., Newton, Page, Modified Page I and II, Henderson and Pabis, Logarithmic, Two term, Two term exponential, Wang and Singh, Thompson, Diffision approximation, Verma et al., Modified Henderson and Pabis and Midilli et al. models. Root mean square error (RMSE), reduced Chi square (χ2) and modeling efficiency (EF) were used as statistical parameters to determine the most suitable model among them. The effects of drying parameters on the best suited drying model coefficients were than determined with linear, logarithmic, power exponential and Arhenius type equations. According to the results, moisture ratio values could be predicted by the Midilli et al. model with high accuracy. It is also possible to predict the moisture content of the product with a generalized model showing the effect of the drying air temperature, velocity and slice thickness with the range of 55–75 °C, 2.0–3.0 m s−1 and 3–9 mm, respectively.

Yazarlar (4)

1
Mehmet H. Sonmete
2
Hakan O. Menges
3
Can Ertekin
4
Mehmet Musa Özcan

Anahtar Kelimeler

Carrot Moisture ratio models Statistical analysis Thin layer drying

Kurumlar

Akdeniz Üniversitesi
Antalya Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Journal of Food Measurement and Characterization
Q2
SJR Skoru0,620
H-Index66
YayıncıSpringer Science + Business Media
ÜlkeUnited States
Chemical Engineering (miscellaneous) (Q2)
Food Science (Q2)
Industrial and Manufacturing Engineering (Q2)
Safety, Risk, Reliability and Quality (Q2)
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Metrikler

42
Atıf
4
Yazar
4
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