Thin layer drying of zucchini in
solar dryer located in Osmaniye region

Çerçi, Kamil Neyfel; Süfer, Özge; Söyler, Mustafa; Hürdoğan, Ertaç; Özalp, Coşkun

doi:10.31803/tg-20180126094515

Cited by 7 publications

(8 citation statements)

References 34 publications

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“…However, this technique is affected from weather conditions and has the problems of contamination with dust, soil, sand particles, insects, the length of drying time, loss of time and product loss [6]. Solar energy assisted dryers are designed to eliminate these effects and reduce drying time [7].…”

Section: Introductionmentioning

confidence: 99%

“…Matlab software was used for analysis and modelling. Figure 1 shows the schematic view of the solar assisted drying system used in the study [2,3,7,24]. As can be seen from the figure, system consists of two main sections: a solar air collector and a drying chamber.…”

Section: Introductionmentioning

confidence: 99%

“…Figure 1. Schematic views of air collector drying system[2,3,7,24] …”

mentioning

confidence: 99%

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Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models

Çerçi

Saydam

Hürdoğan

2020

European Mechanical Science

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The utilization of solar energy in Turkey is very popular because of yearly high solar radiation compared to other countries. One of the common usage area of solar energy is food drying processes. Foods are generally dried under direct sunlight. However, the quality of the dried product exposed to solar radiation reduces. Additionally, the food product dried in outdoors is also exposed to the negative effects of the external environment and thus adversely affects the product quality. In order to overcome these problems, many studies are carried out on solar assisted drying systems. It is very important to calculate or modeling the drying parameters for the design of solar assisted drying systems. In recent years, interest on calculative intelligence methods increases due to the fact that it has high predictive power in modeling of systems. In this study, performance parameters such as solar collector efficiency (η c), drying rate (DR) and convective heat transfer coefficient (h c) obtained from a solar energy assisted dryer for different products were estimated by Support Vector Machine (SVM) and Artificial Neural Network (ANN) models. Apple, red pepper and green pepper were chosen as the product to be dried. The accuracy criteria of the predicted results for each model were determined and compared. It was shown from the results that the best converging models of DR and η c parameters were ANN and SVM C , respectively. However, it was observed that SVM L was the best convergent model for h c values obtained from apple product, and ANN model was the best convergent model for h c values obtained from other products.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models

Çerçi

Saydam

Hürdoğan

2020

European Mechanical Science

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“…He also found that a controlled air-flow system was suitable for drying products of higher density and drying was also more economical in a condenser dryer. Cerci et al [7] designed a drying chamber for drying zucchini, which distributed hot air uniformly. Aktas et al [8] reported that a high velocity of drying air (3 m/s) had the lowest drying time for mint leaves.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations of Thin-layer Drying of Leaves in a Heat-Pump Assisted Tray-type Batch Drying Chamber

Babu¹,

Kumaresan

Raj³

et al. 2020

SV-JME

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The design of a batch drying chamber with multiple trays for the thin-layer drying of fragile, heat-sensitive food materials, such as edible leaves, is a challenging task. It is essential to ensure good air distribution with minimum pressure drop in all the compartments of the drying chamber to obtain uniform drying of the product. In the present work, a drying chamber that was optimized from different configurations using computational fluid dynamics (CFD) software was fabricated and tested in the heat pump dryer. The experimental investigation was carried out with an optimized configuration for the temperature range of 50 ºC to 60 ºC, the relative humidity range of 20 % to 12 %, and air velocities of 1.41 m/s, 2.39 m/s, and 3.24 m/s. These optimal operating conditions were chosen based on an extensive literature survey on leaf drying. It was found that the drying process took place only in the falling rate period, fully controlled by the mechanism of liquid diffusion. The effects of air velocity on the performance parameters of the dryer were studied. Calculations based on the mean average parameters of the experimental data showed that a relatively higher heat utilization factor (0.17), moisture extraction ratio (0.375 kg/h), specific moisture extraction ratio (0.1529 kg/(kWh)), coefficient of performance (4.60), drying efficiency (76.23 %) and lower specific energy consumption (1.16 kW/kg) were obtained for a moderate drying velocity of 2.39 m/s in the heat pump drying process due to higher convection mass and heat transfer effects. Drying curves were plotted for different drying conditions and discussed. The findings were in agreement with those of many earlier research studies listed in the references section. The tested drying chamber can be used for drying all kinds of leaves in a heat pump dryer. Keywords: Amaranth leaves, batch dryer, heat pump dryer, coefficient of performance, thin-layer drying Highlights • A drying chamber optimized from different configurations using computational fluid dynamics (CFD) software is fabricated and tested in a heat pump dryer for drying Amaranth leaves. • Good air distribution with minimum pressure drop is ensured in all the compartments of the newly designed drying chamber to obtain uniform drying of the product. • The drying process of batches of spread-out material takes place only in the falling rate period. • Better results are obtained for a moderate drying velocity of 2.39 m/s in the heat pump drying process. • Air velocity, relative humidity, and the drying temperature are found to influence the rate of drying mutually. • The newly designed drying chamber is suitable for drying all kinds of leaves in a heat pump dryer.

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“…İnce tabaka kurutma denklemlerinin karmaşık dağıtılmış modellerden farklı olarak daha az veri gerektirdiği için kullanımlarının kolay olduğu ve bu sebeple geniş uygulamalara sahip olduğu literatürde görülmektedir [19,20]. Literatürde ince tabaka kuruma davranışlarının incelendiği farklı birçok çalışma bulunmaktadır [21][22][23][24][25][26][27][28][29][30][31][32]. John ve arkadaşları [21], yaptıkları deneysel çalışmada ince tabaka kurutma modeli ile kabuklu ve iç fıstığın kuruma davranışını mikrodalga yöntemi ile incelemişlerdir.…”

Section: Introductionunclassified

Experimental Determination of Drying Kinetics of Peanut Dried by using Drying Air at Different Humidity

Çerçi

Hürdoğan

2020

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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Ürünlerin kurutularak saklanması eski çağlardan beri yaygın olarak kullanılan bir yöntemdir. Gıda kurutma işleminde temel amaç ürünün içerisinde bulunan suyun üründen uzaklaştırılmasıdır. Bu sayede ürün içerisindeki mikroorganizmaların gelişmesini durdurulacak ve ürünlerin raf ömrü uzatılacaktır. Bu çalışmada Osmaniye'de üretimi ve hasadı yapılan yerfıstığı ürününün kurutulması, kurutma havasının farklı mutlak nem değerleri için incelenmiştir. Yerfıstığının kuruma davranışı, tasarlanarak imal edilen deney düzeneği kullanılarak deneysel olarak belirlenmiştir. Çalışmada ayrıca deneysel olarak elde edilen alınabilir nem oranı değeri 22 farklı ince tabaka kurutma modeline fit edilmiştir. Çalışma sonucunda aynı sıcaklıkta kurutma havası için, kurutma havası nem değerinin düşmesi ile difüzyon katsayısının ve kuruma hızının arttığı gözlemlenmiştir. Hii ve arkadaşları tarafından geliştirilen ince tabaka kuruma modeli, deneysel olarak elde edilen alınabilir nem oranı değerine en iyi yakınsayan model olarak belirlenmiştir.

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Thin layer drying of zucchini in solar dryer located in Osmaniye region

Cited by 7 publications

References 34 publications

Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models

Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models

Experimental Investigations of Thin-layer Drying of Leaves in a Heat-Pump Assisted Tray-type Batch Drying Chamber

Experimental Determination of Drying Kinetics of Peanut Dried by using Drying Air at Different Humidity

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