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SCI Özgün Makale Scopus
Mathematical modeling of thin layer drying of carrot slices by forced convection
Springer Science and Business Media LLC 2016 Cilt 11
Scopus Eşleşmesi Bulundu
42
Atıf
11
Cilt
629-638
Sayfa
Scopus Yazarları: Mehmet H. Sonmete, Hakan O. Menges, Can Ertekin, Mehmet Musa Özcan
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.
Anahtar Kelimeler (Scopus)
Carrot Moisture ratio models Statistical analysis Thin layer drying
Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2016 yılı verileri
Journal of Food Measurement and Characterization
Q2
SJR Quartile
0,296
SJR Skoru
55
H-Index
Kategoriler: Chemical Engineering (miscellaneous) (Q2) · Industrial and Manufacturing Engineering (Q2) · Food Science (Q3) · Safety, Risk, Reliability and Quality (Q3)
Alanlar: Agricultural and Biological Sciences · Chemical Engineering · Engineering
Ülke: United States · Springer Science + Business Media
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

Carrot Moisture ratio models Statistical analysis Thin layer drying

Makale Bilgileri

Dergi Springer Science and Business Media LLC
ISSN 2193-4126
Yıl 2016 / 10. ay
Cilt / Sayı 11
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI
Yayın Dili Türkçe
Kapsam Uluslararası
Toplam Yazar 4 kişi
Erişim Türü Basılı+Elektronik
Erişim Linki Makaleye Git
Alan Ziraat, Orman ve Su Ürünleri Temel Alanı Tarımsal Mekanizasyon Tarım Makineleri

YÖKSİS Yazar Kaydı

Yazar Adı SONMETE MEHMET HAKAN, MENGEŞ HAKAN OKYAY, ERTEKİN CAN, ÖZCAN MEHMET MUSA
YÖKSİS ID 6924080