Drying performance analysis of a batch type fluidized bed drying process for corn and unshelled pistachio nut regarding to energetic and exergetic efficiencies

Özahi, Emrah; Demir, Hacımurat

doi:10.1016/j.measurement.2014.09.073

Cited by 37 publications

(9 citation statements)

References 27 publications

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“…As can be observed in Fig. 8, by increasing temperature in fluidized bed modes the drying time decreased significantly that the same behaviors were observed and reported by Özahi and Demir [64,65,66]. The least drying time was observed at drying air temperature of 40°C, frequency of 25 kHz and ultrasonic power density of 14.6 kW/m 3 and drying time was reduced up to 43% compared to that of the control (without ultrasound).…”

Section: Drying Timesupporting

confidence: 85%

Evaluation of the air-borne ultrasound on fluidized bed drying of shelled corn: Effectiveness, grain quality, and energy consumption

et al. 2018

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The objective of the study was to investigate the influence of high power ultrasound on a laboratory-scale fluidized bed shelled corn dryer. The drying time, moisture content variation, specific energy consumption and quality parameters including ultimate compressive strength, toughness, shrinkage and color of corn kernels were investigated. Furthermore, Artificial Neural Network (ANN) simulation models were developed for predicting the drying variables. Machine vision techniques were used to determine color and shrinkage as qualitative indices. Results showed that the lower frequencies had better penetrations at lower temperatures and cause a significant reduction in drying time. In addition, the ultrasound application led to reduction of ultimate compressive strength and toughness of the dried samples although ultrasound has non-thermal character as the subsidiary factor, it plays an important role in shrinkage and color specification. Based on error analysis results, the prediction capability of ANN model is found to be reasonable for the developed models. Application of ultrasound significantly decreased the specific energy consumption (SEC) of drying process at the optimal drying condition.

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Section: Drying Timesupporting

confidence: 85%

Evaluation of the air-borne ultrasound on fluidized bed drying of shelled corn: Effectiveness, grain quality, and energy consumption

et al. 2018

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“…Microwave drying have been one of the topics investigated in the treatment of various wastes in recent years due to its outstanding features compared with conventional heating methods. Microwave application can be carried out in a variety of ways including meat processing , food industry , prina , coal , corn , and in the treatment of plastic wastes by pyrolysis . Drying processes are available technologies in order to reduce the damage caused by waste water treatment sludge and to reduce domestic wastewater treatment sludge weight .…”

Section: Introductionmentioning

confidence: 99%

Conventional and microwave drying of hydrocarbon cutting sludge

Köse

Çelen

Çelik

2018

Env Prog and Sustain Energy

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The purpose of this article is to investigate the drying kinetics and determine the effectiveness of conventional and microwave drying processes for drying of hydrocarbon cutting sludge which is one of the most important waste occurring from petroleum and natural gas cutting activities. Drying experiments of hydrocarbon cutting sludge were performed at MW power levels of 120, 460, and 600 W using microwave dryer and at drying temperatures of 140°C and 180°C. The sample weights were selected as 50, 100, and 150 g. Energy consumption values were determined, according to the microwave power levels, drying temperature, drying times, moisture ratio, as 0.01–0.11 kW/h for microwave, and as 0.11–0.55 kW/h for conventional drying processes. The results showed that the microwave drying was the more effective drying process in terms of drying times and energy consumption. Furthermore, as a result of the statistical analysis, the most suitable model among five drying models was determined according to the χ2, es, and r criteria. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13104, 2019

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“…The mentioned accuracies are considered as biased limits in a measured variables (B x ). The equations applied to perform the uncertainty analysis are as mentioned in E. Ozahi et al's paper [31]. Related equations are tabulated in Table 4.…”

Section: Error Analysismentioning

confidence: 99%

“…Common solar dryers have low drying rates; hence they require a large installation area, making them less attractive to be applied in the industry [27][28][29]. Contrary spouted bed dryers and fluidized bed dryers provide high drying rates, so integrating these technologies to solar collectors, to provide the required energy, results in a high drying rate solar dryer [30][31][32]. Spouted bed dryers can be applied to dry the granule shape materials such as granule agricultural products, nano particles, desiccant materials, and etc.…”

Section: Introductionmentioning

confidence: 99%

Transport phenomena study in a solar spouted bed dryer within a draft tube

Esmailie

Ghadamian

Aminy

2017

Env Prog and Sustain Energy

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This research investigated a high drying rate solar dryer with low-intensity energy consumption. In a brief issue, the solar spouted bed dryer was designed, fabricated and tested through this study. To cover this purpose, a 1D dynamic model was developed for this dryer's bed section. The mentioned accurate model is able to predict this type of solar dryer behavior which includes mass, momentum and energy transfer phenomena. The mentioned model solves the governing equations-mass, momentum, and energy balance equations-simultaneously using MATLAB software. By this system test pilot modeling and experiments, Design and manufacture of a high drying rate solar dryer with low energy intensity are achieved. Comparison between the model and experimental results shows that the maximum error percentage related to output profiles were approximately less than 3.6% that consider an appropriate band of errors. Based on experiments, the system is able to eliminate 85,500 mg water from 150 g corn grains during 90 min test interval. The considerable achievement contributed to the energy consumption intensity is equal to 93.3 kJ/g of corn, which can be a valuable energy heat rate.

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Drying performance analysis of a batch type fluidized bed drying process for corn and unshelled pistachio nut regarding to energetic and exergetic efficiencies

Cited by 37 publications

References 27 publications

Evaluation of the air-borne ultrasound on fluidized bed drying of shelled corn: Effectiveness, grain quality, and energy consumption

Evaluation of the air-borne ultrasound on fluidized bed drying of shelled corn: Effectiveness, grain quality, and energy consumption

Conventional and microwave drying of hydrocarbon cutting sludge

Transport phenomena study in a solar spouted bed dryer within a draft tube

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