Drying of organic blackberry in combined hot air-infrared dryer with ultrasound pretreatment
Article
Article Title | Drying of organic blackberry in combined hot air-infrared dryer with ultrasound pretreatment |
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ERA Journal ID | 3877 |
Article Category | Article |
Authors | Taghinezhad, Ebrahim (Author), Kaveh, Mohammad (Author), Khalife, Esmail (Author) and Chen, Guangnan (Author) |
Journal Title | Drying Technology: an international journal |
Journal Citation | 39 (14), pp. 2075-2091 |
Number of Pages | 17 |
Year | 2021 |
Place of Publication | United States |
ISSN | 0737-3937 |
1532-2300 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/07373937.2020.1753066 |
Web Address (URL) | https://www.tandfonline.com/doi/full/10.1080/07373937.2020.1753066 |
Abstract | In this study, prediction and analysis of energy and exergy in a combined hot air-infrared dryer with ultrasound pretreatment for organic blackberry was carried out. The effect on product color and greenhouse gas (GHG) emission was assessed. To predict energy and exergy parameters such as energy utilization ratio, energy utilization, exergy loss, and exergy efficiency, both the artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) methods were employed. Drying experiments were undertaken at three temperature levels of 50, 60, and 70°C in air speed of 1 m/s and ultrasound pretreatment time 15, 30, and 45 min, as compared to controlled samples (without pretreatment). Results demonstrated that by raising the inlet air temperature and ultrasound pretreatment time, color change rate decreased, while energy utilization and exergy efficiency increased. Energy and exergy prediction results by means of ANN and ANFIS methods showed that ANFIS method achieved a higher and lower as compared to ANN. The highest level of GHG emission (NOx, CO2) was obtained at 50°C temperature for samples without pretreatment. |
Keywords | Energy; Exergy; Blackberry; Combined hot air-infrared dryer; GHG emissions |
ANZSRC Field of Research 2020 | 409901. Agricultural engineering |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Mohaghegh Ardabili, Iran |
Salahaddin University-Erbil, Iraq | |
Faculty of Health, Engineering and Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5v78/drying-of-organic-blackberry-in-combined-hot-air-infrared-dryer-with-ultrasound-pretreatment
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