Mathematical modeling of drying behavior of cashew in a solar biomass hybrid dryer

Saravanan, D.; Wilson, Vincent H.; Sudhakar, K.

doi:10.1016/j.reffit.2016.12.002

Cited by 54 publications

(32 citation statements)

References 9 publications

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“…4 can be reducible to Eq. 5 because the numerical values of Db eq Are considerably small compared with those of Db t or Db 0 [14] . .…”

Section: Determination Of the Cdc Of Hami Melonmentioning

confidence: 96%

Drying characteristics and solar convective drying kinetics of China Hami melon slice

Wang¹,

Zhang²,

Liu³

et al. 2019

SDRP-JFST

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This experimental study aims to investigate the influence of solar drying parameters on water loss of fresh Hami melon flakes. This article presented the experiment results of drying kinetics .In this study, drying kinetics was conducted on a solar convective dryer with heat pump at four air temperatures (i.e., 40 °C, 50 °C, 60 °C, and 70 °C), flow rates (i.e., 1, 2, 3, and 4 m/s), and sample thickness (i.e., 2, 5, 8, and 11 mm). The characteristic drying curve of Hami melon has been determined by experimental results. Eight models were simulated, and the Midilli-Kucuk model had highest fitting degree in thin layer drying models when all drying data was simulated. Within the scope covered, Fick's second law of diffusion was often used to compute an effective water diffusivity, which raised from 8.66×10 −11 m 2 /s to 3.12×10 −9 m 2 /s with drying temperatures, airflow rates, and thickness. The activation energy is 11.71 kJ/mol, it indicates the effect of temperature on diffusion coefficient.

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“…4 can be reducible to Eq. 5 because the numerical values of Db eq Are considerably small compared with those of Db t or Db 0 [14] . .…”

Section: Determination Of the Cdc Of Hami Melonmentioning

confidence: 96%

Drying characteristics and solar convective drying kinetics of China Hami melon slice

Wang¹,

Zhang²,

Liu³

et al. 2019

SDRP-JFST

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“…The mathematical form of empirical models does not require the consideration of the theory of drying, therefore their parameters are without physical meaning (Kaleta et al, 2013). On account of their simplicity, the models discussed are applied to describe the drying characteristics of different products such as apples (Antal et al, 2015;Atalay et al, 2017), blueberries (Yu et al, 2017), carrots (Aghbashlo et al, 2011;Mahapatra and Tripathy, 2018), canola (Gazor and Mohsenimanesh, 2010), cashew (Dhanushkodi et al, 2017), dill leaves (Motevali et al, 2013), garlic (Younis et al, 2018), green bean (Doymaz et al, 2015;Tekin et al, 2017), Hass avocado seeds (Avhad and Marchetti, 2016), kiwi fruit (Tian et al, 2015), Moroccan rosemary leaves (Mghazli et al, 2017), peach (Doymaz, 2014), pumpkin (Junqueira et al, 2017), rice (Hacıhafızoğlu et al, 2008), spinach leaves (Doymaz, 2009), sweet basil (Phoungchandang and Kongpim, 2012), tomato (Azeez et al, 2017), Vernonia amygdalina leaves (Alara et al, 2017). Some authors have described the effect of drying variables on the parameters of empirical models, in these cases such models may be considered to be more general.…”

Section: Introductionmentioning

confidence: 99%

Suitable model for thin-layer drying of root vegetables and onion

Górnicki¹,

Kaleta²,

Choińska³

2020

Int. Agrophys.

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The drying behaviour of carrot, parsley, red beetroot and onion slices of 5 and 10 mm thickness was investigated in a convective dryer at a drying temperature of 50, 60 and 70°C under natural convection conditions. The experimental drying data of the vegetables slices obtained were fitted to five empirical thin-layer models: Lewis (Newton), Henderson and Pabis, Page, Modified Page, Wang and Singh. The effects of the vegetable species, air drying temperature, and slice thickness on the model parameters were determined. Four statistical tools, namely, the determination coefficient, root mean square error, reduced chi-square, and t-statistic method were applied to determine the fittings. The Page model with the model parameters determined by a summation equation, a square type dependence for the drying air temperature and a rational one for the slice thickness is recommended as the most suitable model (R 2 = 0.9699, RMSE = 0.0587, χ 2 = 0.0035, t-stat = 0.6739). K e y w o r d s: root vegetables, onion, drying kinetics, modelling, drying models

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“…In the last decades, several studies have been conducted (Ekechukwu & Norton, 1999;Murthy, 2009;El-Sebaii & Shalaby, 2012;El Hage et al, 2018;Lamidi et al, 2019;Anannob et al 2020). Most of them aim to increase the efficiency of solar dryers and even allow their nocturnal use (Queiroz et al, 2011;El Khadraoui et al, 2017), focusing on modeling (Prakash et al, 2016;Dhanushkodi et al, 2017;Anannob et al 2020), in the simulation (Hernandez et al, 2016;Sonthikun et al, 2016;Basso, 2017), and the experiment (Pangavhane et al, 2002;Mohanraj & Chandrase kar, 2008;Amer et al, 2010;Okoroigwe et al, 2013;Sonthikun et al, 2016;Bhardwaj et al, 2017;Shamekhi-Amiri et al, 2018) of different types of solar driers and sustainable drying techniques.…”

Section: Introductionmentioning

confidence: 99%

“…For example, solar dryers with an auxiliary power source need less time to reach the desired humidity levels (Mekhilef et al, 2013). Among the auxiliary energy sources, biomass (Okoroigwe et al, 2013;Sonthikun et al, 2016;Dhanushkodi et al, 2017) and electricity (Amer et al, 2010) stand out. Indirect drying with natural convection (Pangavhane et al, 2002) or forced drying (Mohanraj & Chandrasekar, 2008) provide better quality products than direct drying, in which the product is exposed to the sun.…”

Section: Introductionmentioning

confidence: 99%

Hybrid System Simulation to Supply Heated Air to a Solar Food Dryer

Rodrigues

Basso

2020

Eng. Agríc.

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The intermittence of solar radiation, due to continuous rainy or cloudy days, is a limitation of simple and small solar dryers. These conditions often make them impossible to use. By including storage systems (thermal accumulation) and/or auxiliary energy sources, drying processes or dehydration can be conducted continuously, even during periods of low insolation. Therefore, the present work simulates and evaluates the thermal and energetic behavior of a hybrid system for heating the air that is directed to the dehydration chamber of a solar food dryer. The software selected for the simulation was TRNSYS. The simulated hybrid system consists of a flat plate solar collector and an arrangement of electrical resistors that guarantee the entry of air, at a constant temperature, into the dehydration chamber. The target temperature selected is 70 o C, and the absence of food products in the chamber is assumed. An arrangement with four electric resistors totaling 1900 W, with three different powers of 1000 W, 500 W, and 200 W proved adequate to guarantee the entrance of air at a constant temperature when considering the climatic conditions of a city in the South of Brazil.

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Mathematical modeling of drying behavior of cashew in a solar biomass hybrid dryer

Cited by 54 publications

References 9 publications

Drying characteristics and solar convective drying kinetics of China Hami melon slice

Drying characteristics and solar convective drying kinetics of China Hami melon slice

Suitable model for thin-layer drying of root vegetables and onion

Hybrid System Simulation to Supply Heated Air to a Solar Food Dryer

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