Kayısıların Farklı Ortamlarda Kurutma Kinetiğinin İncelenmesi

Year 2021, Volume: 9 Issue: 2, 385 - 401, 25.06.2021

Mehmet Aslan Yunus Önal , Yeliz Akbulut , Canan Akmil Başar

https://doi.org/10.33715/inonusaglik.834743

Abstract

Bu çalışmada Türkiye’nin Malatya ilinde yetişen Çöloğlu, Hacıhaliloğlu, Kabaaşı ve Karacabey kayısı türleri kullanıldı. Çeşitli kurutma ortamlarının ham ve önceden işlenmiş kayısıların kurutma kinetiği üzerindeki etkileri araştırılmıştır. Deneyler güneş ışığında ve gölge ortamında SO2 ile muamele edilmiş ve işlenmemiş kayısı ile gerçekleştirildi. Kuru kayısıların kurutma hızı eğrileri başlangıçta hızla artarken, kurutma hızı eğrisi daha sonra azalmaya başladı. Veriler beş farklı matematiksel modele uyarlandı. Midilli ve ark. modeli, gözlemlenen ve beklenen nem oranları arasındaki; korelasyon katsayısı (R2), ortalama mutlak yüzde hata (MAPE) ve kök ortalama kare hata (RMSE) karşılaştırılarak kayısıların kurutulmasını açıklamak için en iyi model olarak belirlendi.

Keywords

Kayısı, Kurutma, Matematiksel modelleme, Nem difüzyonu

Supporting Institution

İnönü Üniversitesi Bilimsel Araştırma Projeleri Birimi

Project Number

2012-184

INVESTIGATION OF DRYING KINETICS OF APRICOTS IN DIFFERENT ENVIRONMENTS

Abstract

In this study, Çöloğlu, Hacıhaliloğlu, Kabaaşı and Karacabey apricot species grown in Malatya province of Turkey were used. The effects of various drying environment on the drying kinetics of crude and pre-treated apricots have been investigated. The experiments were conducted in the sunlight and in the shade environment with SO2 treated and untreated apricot. While the drying speed curves of the dried apricots increased rapidly at the beginning, the drying speed curve started to decrease afterwards. The data was fitted to five different mathematical models. Midilli et al. model was determined as the best one to explain drying of apricots by comparing the coefficient of correlation determination (R2), mean absolute percentage error (MAPE) and root mean square error (RMSE) between the observed and expected moisture ratios.

Keywords

Apricot, Drying, Mathematical modelling, Moisture diffusion

Project Number

2012-184

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