Modelling uncontrolled solar drying of mango waste

Wilkins, Ross; Brusey, James; Gaura, Elena

doi:10.1016/j.jfoodeng.2018.05.012

Cited by 28 publications

(14 citation statements)

References 22 publications

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“…The thermal storage can be increased by putting a mirror in the north wall of the greenhouse dryer. 11. It has been observed that insulated north wall is very effective for reducing the loss of solar radiation.…”

Section: Discussionmentioning

confidence: 99%

“…The main challenge that comes in greenhouse dryer is the heat losses from the north wall and the ground. Presently, many researchers are working in this field to reduce the heat loss in greenhouse dryer from the north wall.. 11,12 The packed bed thermal storage concept was being incorporated in the conventional greenhouse dryer for drying of onion. 13 The north wall was insulated from brick and painted with black color from inside to absorb the maximum amount of heat.…”

Section: Introductionmentioning

confidence: 99%

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Thermal analysis of north wall insulated greenhouse dryer at different bed conditions operating under natural convection mode

Ahmad

Prakash

2019

Env Prog and Sustain Energy

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An experimental investigation has been carried out on the modified greenhouse dryer with insulated north wall operating under natural convection mode of heat transfer for different floor conditions, namely ground floor, concrete floor, gravel floor, and black painted gravel floor. The terms like coefficient of diffusivity, coefficient of performance, overall heat transfer coefficient, heat loss factor, and heat utilization factor has been calculated for different floor conditions. The maximum difference between room temperature and ambient temperature was found to be 32.4°C at 13 O'clock for black painted gravel floor, followed by gravel floor, concrete floor, and ground floor which are 27, 14.1, and 11.5°C, respectively. It has been observed that the rise in the percentage of maximum room temperature in comparison to maximum ambient temperature for black painted gravel floor, gravel floor, concrete floor, and the ground floor was 50.31, 46.15, 30.1, and 26.6%, respectively at 13 O'clock. It has been found that the maximum temperature absorbed by black painted gravel bed. Hence, this type of floor condition is highly recommended for drying of low and medium moisture content type vegetables and fruits. The thermal parameters of the result obtain from the present setup was compared with the published literature, and it was found that all parameters show the similar trends; however, the present setup shows the superior performance compared to other research work.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Thermal analysis of north wall insulated greenhouse dryer at different bed conditions operating under natural convection mode

Ahmad

Prakash

2019

Env Prog and Sustain Energy

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“…The drying rate would be approximately proportional to the difference in moisture content between the material being dried and equilibrium moisture content at the drying air state (Erenturk and Erenturk, 2007). According to this definition, the drying rate of the eggplant samples in differential form may be determined by using equation (1) (Wilkins et al., 2018) …”

Section: Methodsmentioning

confidence: 99%

“…To characterize the effects of drying parameters on drying, the thin layer drying model is the most suitable technique. There are a lot of thin layer mathematical modeling and experimental studies in the literature for defining the drying processes of various agricultural products (Erenturk et al., 2004a; Erenturk and Erenturk, 2007; Erenturk et al., 2004b; Ertekin and Firat, 2017; Fernando and Amarasinghe, 2016; Kose and Erenturk, 2010; Rodríguez et al., 2018; Sonmete et al., 2017; Vallespir et al., 2019; Wilkins et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Fractional order calculus approach for drying modeling of eggplants

Erenturk

Köse

Erentürk

2019

Food sci. technol. int.

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In order to determine the drying modeling of eggplants, fractional order calculus modeling was applied and compared to regression analysis in this study. The fractional order calculus based on the Caputo derivative approach was considered and applied for modeling of eggplant drying. The drying experiments were performed on three levels of drying air temperatures (60, 70, and 80 ℃), with two different air flow velocity levels (0.5 and 1 m/s), and three levels of thickness (3.5, 6.5, and 9.5 mm) to measure the effects of different drying conditions for eggplants in a convective dryer. Four different commonly used mathematical models from the literature were fitted to the experimental data with regression analysis. Based on obtained results, the coefficient of determination (R2) was found as 0.9956 for the values of 80 ℃, 0.5 m/s, and 3.5 mm, while sum squared error was 0.0061 and root mean square error was 0.0235 for the Page model. However, better and more accurate results were obtained using fractional order modeling with the values of R2 found as 0.9981, sum squared error as 0.0012, and root mean square error as 0.0099 for the considered case.

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“…In several studies available in the literature on waste drying, mass diffusivity is determined by nonlinear regression, using only the first term of the infinite series of the analytical solution of the diffusion equation, solved for equilibrium boundary conditions [26][27][28][29][30][31]. However, this is particularly problematic, because the underlying modeling of the drying process using this approach may result-for high mass transfer Biot numbers characteristic of the equilibrium boundary conditions-in significant truncation errors, especially in the initial instants of drying [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Description of Cumbeba (Tacinga inamoena) Waste Drying at Different Temperatures Using Diffusion Models

Ferreira

Silva

Queiroz

et al. 2020

Foods

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One approach to improve sustainable agro-industrial fruit production is to add value to the waste generated in pulp extraction. The processing of cumbeba (Tacinga inamoena) fruits generates a significant amount of waste, which is discarded without further application but can be a source of bioactive compounds, among other nutrients. Among the simplest and most inexpensive forms of processing, convective drying appears as the first option for the commercial utilization of fruit derivatives, but it is essential to understand the properties of mass transfer for the appropriate choice of drying conditions. In this study, cumbeba waste was dried at four temperatures (50, 60, 70 and 80 °C). Three diffusion models were fitted to the experimental data of the different drying conditions. Two boundary conditions on the sample surface were considered: equilibrium condition and convective condition. The simulations were performed simultaneously with the estimation of effective mass diffusivity coefficients (Def) and convective mass transfer coefficients (h). The validation of the models was verified by the agreement between the theoretical prediction (simulation) and the experimental results. The results showed that, for the best model, the effective mass diffusivities were 2.9285 × 10−9, 4.1695 × 10−9, 8.1395 × 10−9 and 1.2754 × 10−8 m2/s, while the convective mass transfer coefficients were 6.4362 × 10−7, 8.7273 × 10−7, 8.9445 × 10−7 and 1.0912 × 10−6 m/s. The coefficients of determination were greater than 0.995 and the chi-squares were lower than 2.2826 × 10−2 for all simulations of the experiments.

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Modelling uncontrolled solar drying of mango waste

Cited by 28 publications

References 22 publications

Thermal analysis of north wall insulated greenhouse dryer at different bed conditions operating under natural convection mode

Thermal analysis of north wall insulated greenhouse dryer at different bed conditions operating under natural convection mode

Fractional order calculus approach for drying modeling of eggplants

Description of Cumbeba (Tacinga inamoena) Waste Drying at Different Temperatures Using Diffusion Models

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