Drying kinetics of cabya (Piper retrofractum Vahl) fruit as affected by hot water blanching under indirect forced convection solar dryer

Hawa, La Choviya; Ubaidillah, Ubaidillah; Mardiyani, Siti Asmaniyah; Laily, Amirada Nur; Yosika, Nur Ida Winni; Afifah, Firdiani Nur

doi:10.1016/j.solener.2020.12.004

Cited by 41 publications

(21 citation statements)

References 39 publications

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“…The downward nature of the sinusoidal curve of the drying rate still showed that the diffusion mechanism dominates the moisture transfer mechanism. This is similar to the results obtained by Hawa et al [29] for untreated Cabaya fruits. The drying rate was highest at the first 6 h of drying but decreased afterwards.…”

Section: Drying Kinetics and Mathematical Modellingsupporting

confidence: 93%

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Analysis of the Heat Transfer Coefficient, Thermal Effusivity and Mathematical Modelling of Drying Kinetics of a Partitioned Single Pass Low-Cost Solar Drying of Cocoyam Chips with Economic Assessments

et al. 2022

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This study examines the heat and mass transfer coefficient, thermal effusivity, and other thermal properties of solar-dried cocoyam chips, as well as the drying kinetics. The research also assessed the economics of the solar dryer. For these reasons, a solar dryer with a partitioned collector was developed that creates a double airflow travel distance to delay the airflow inside the collector. The partitioning of the collector delays the airflow and helps to create more turbulence for the airflow with increased energy. The solar dryer was locally developed at the Michael Okpara University of Agriculture and tested during the humid crop harvesting period of September for the worst-case scenario. The obtained drying curves and kinetics for cocoyam drying are subjected to the vagaries of weather conditions. The drying rate showed declining sinusoidal characteristics and took about 25 h to attain equilibrium. Analysis of the airflow velocity showed gravitation between laminar and turbulent flow, ranging from 171.69 to 5152.77. Specific heat capacity, thermal conductivity, and effusivity declined with moisture content while the thermal diffusivity increased. However, the values of thermal effusivity ranged from 12.2 to 47.94 W.s1/2.m−2.K−1, which is within the range of values for insulators. The heat and mass transfer coefficient varied as a function of the airflow velocity. Fitting the drying curve into semi-empirical models showed that the two-term model was the best-fitted model for the experimental data from drying cocoyam. Using the solar dryer in Nigeria can save $188.63–$1886.13 in running costs with a payback period of 0.059–0.59 years (21.54–215.35 days) at a rate of 10–100% of usage.

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Section: Drying Kinetics and Mathematical Modellingsupporting

confidence: 93%

“…where M t is the moisture content of the cocoyam at time t and M e is the equilibrium moisture content, which is obtained with three consecutive moisture content measurements [29].…”

Section: Mathematical Modelling Of the Drying Curvementioning

confidence: 99%

Analysis of the Heat Transfer Coefficient, Thermal Effusivity and Mathematical Modelling of Drying Kinetics of a Partitioned Single Pass Low-Cost Solar Drying of Cocoyam Chips with Economic Assessments

et al. 2022

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“…At 3 mm, 5 mm, and 7 mm thickness, equilibrium moisture content was reached at the 11 th , 15 th , and 18 th hours of drying time, respectively. At the beginning of drying, there was an increase in the drying rate indicating a very fast diffusion rate of water vapor on the surface of the sample and a decrease in the drying rate due to weak thermal conductivity, as reported by Hawa et al [9] and Ayetigbo et al [16]. They also reported that the thickness of the sample will give an effect to drying rate, in which more thickness will cause a longer drying time and has a higher moisture content than less thickness.…”

Section: Characteristics Of Porang Chips Dryingsupporting

confidence: 67%

“…Moisture transfer in porang chips can be calculated by determining the drying rate using the equation used by Hawa et al [9], in which DR is drying rate (g H2O/g dry solid/hours), 𝑀 𝑡 is moisture content at specific time, 𝑀 ∆𝑡+𝑡 is moisture content after the specific time, and ∆𝑡 is the time differences.…”

Section: 𝑀𝑐 𝑤𝑏 = 𝑚 𝑤+𝑠 − 𝑀 𝑠 𝑚 𝑤+𝑠 𝑥100%mentioning

confidence: 99%

Drying kinetics of porang (Amorphophallus mueller B.) chips under open sun drying

Hawa

Septiyanto

Yulianingsih

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The drying behavior of porang (Amorphophallus muelleri Blume) chips under open sun drying has been conducted. The aim of present study was to determine the drying kinetics and mathematical modeling of the chips and color alteration during open sun drying. The drying process was carried out for 21 hours at the open space with direct sunlight with 3, 5, and 7 mm of chips thickness variation. The average initial water content of the chips was 89.34±1.24 %wb (wet basis), and 7.77±0.44; 9.61±1.31; and 12.88±1.47% wb (wet basis) of final moisture content at the end of process for 3, 5, 7 mm of chips thickness, respectively. The nonlinear analysis for subjected model indicated that the Midilli et al model was satisfactorily describe the drying curve of the chips with following constants, i.e. a = 0.9894; k = 0.0129; n = 2.8962; b = 0.0064. During drying, browning occurs on porang chips with decreased brightness index (L*) and yellowness index (b*) and increased redness index (a*).

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“…So far, most of the CFD‐based research studies has tended to focus on: evaluating the accuracy of the numerical model in comparison to physical experiments (Amjad, Munir, Esper, & Hensel, 2015; Bartzanas, Boulard, & Kittas, 2004; Romero, Cerezo, Garcia, & Sanchez, 2014; Sanghi, Ambrose, & Maier, 2018; Sözen, Şirin, Khanlari, Tuncer, & Gürbüz, 2020), thermal efficiency evaluation (Abubakar et al, 2018; da Silva, Ferreira, Coutinho, & Maia, 2020; Erick César, Ana Lilia, Octavio, Isaac, & Rogelio, 2020; Lakshmi, Muthukumar, Layek, & Nayak, 2019; Morad, El‐Shazly, Wasfy, & El‐Maghawry, 2017; Orbegoso, Saavedra, Marcelo, & La Madrid, 2017; Tesfamariam, Bayray, Tesfay, & Hagos, 2015), and drying kinetics and optimization (Chen, Huang, Tsai, & Mujumdar, 2008; Goud, Reddy, Chandramohan, & Suresh, 2019; Hawa et al, 2021; Orbegoso et al, 2017; Vintilă, Ghiauș, & Fătu, 2014). In very rare research studies, the weather conditions were considered in the model (Sanghi et al, 2018; Tesfamariam et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

The effect of weather on temperature variation inside a solar dryer in Ahvaz‐Iran using computational fluid dynamics method

Sajadiye

Saberian

2021

J Food Process Engineering

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In subtropical hot desert climates, the high temperature inside the chamber of the solar dryers spoils heat‐sensitive bioactive ingredients of agricultural products. In this article, the annular temperature variation inside the dryer chamber and collector thermal efficiency of a naturally ventilated indirect solar dryer in Ahvaz‐Iran was evaluated using computational fluid dynamics models. Time variable boundary conditions based on the regional meteorological reports and Universal Time Coordinated for automatic consideration of solar heat radiation, were applied in the models. The results were validated against the physical experiments by accuracy evaluation of the chamber temperature (root mean squared error [RMSE] of 3.14°C), product moisture ratio (RMSE of 0.26), and solar heat flux (RMSE of 84.26 W/m2). The efficiency of the collector was shown to be minimal during the warm months from April to September with a higher level around the solar noon. Daily variation of the temperature inside the chamber from sunrise to sunset and the annual interval of each temperature lasts during a day were presented which can be used for defining the tolerable period of drying. The possibility of drying medicinal plants was presented as a sample. The results can provide a viable estimate for similar climates in the Middle East. Practical Applications In this study, many details of preprocessing procedure of solar drying computational fluid dynamics (CFD) simulation has been presented which is practical for related studies about the dryers or any process affected by variable weather and solar radiation. Graphical results are comparable and useful for numerical research studies on heat and mass transfer phenomena. The accuracy of the CFD model that was validated against the physical experiments, is promising for CFD‐based drying process optimization research studies. The results of physical experiments which have been expressed in good detail can be used as a reference for future research studies. The tolerable period of drying of agricultural products in Ahvaz‐Iran can be extracted from the results of this study which is a viable estimation for similar climates in the Middle East.

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Drying kinetics of cabya (Piper retrofractum Vahl) fruit as affected by hot water blanching under indirect forced convection solar dryer

Cited by 41 publications

References 39 publications

Analysis of the Heat Transfer Coefficient, Thermal Effusivity and Mathematical Modelling of Drying Kinetics of a Partitioned Single Pass Low-Cost Solar Drying of Cocoyam Chips with Economic Assessments

Analysis of the Heat Transfer Coefficient, Thermal Effusivity and Mathematical Modelling of Drying Kinetics of a Partitioned Single Pass Low-Cost Solar Drying of Cocoyam Chips with Economic Assessments

Drying kinetics of porang (Amorphophallus mueller B.) chips under open sun drying

The effect of weather on temperature variation inside a solar dryer in Ahvaz‐Iran using computational fluid dynamics method

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