Airflow resistance and pressure drop behavior in different conditions of bulk‐stored onion and its dynamic modeling

Kate, Adinath; Chakraborty, Subhasish; Pawar, D. A.; Gorrepati, Kalyani

doi:10.1111/jfpe.13141

Cited by 5 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FUTURE POSTHARVEST AND FOOD (Bhong & Kale, 2020;Kate et al, 2019). Artificial curing not only reduces the curing time (60-96 h) but also improves the appearance and reduces postharvest losses and associated diseases during storage (Downes et al, 2009;Gorrepati et al, 2017;Vahling-Armstrong et al, 2016).…”

Section: Thermal Treatment/curingmentioning

confidence: 99%

“…In artificial curing, the forced convective air is circulated using a fan/blower. The temperature, relative humidity, and airflow rate of air were maintained at 25–35 ⁰C, 65%–80%, and 30–50 cfm/ton, respectively, depending on the quality and number of layers of bulbs (Bhong & Kale, 2020; Kate et al., 2019). Artificial curing not only reduces the curing time (60–96 h) but also improves the appearance and reduces postharvest losses and associated diseases during storage (Downes et al., 2009; Gorrepati et al., 2017; Vahling‐Armstrong et al., 2016).…”

Section: Postharvest Preservation Of Onionsmentioning

confidence: 99%

“…Dynamic modeling of airflow resistance and pressure drop behavior in onion storage structures by Kate et al. (2019) indicated that higher airflow rates and bed depths could increase pressure drop, hindering aeration, temperature control, and fumigation. Figure 4 emphasizes the importance of proper fan and bed depth selection.…”

Section: Storage Systems For Onionsmentioning

confidence: 99%

See 2 more Smart Citations

A comprehensive review on recent advances in postharvest treatment, storage, and quality evaluation of onion (Allium cepa): Current status, and challenges

Kiran,

Aradwad,

T. V.

et al. 2024

Future Postharvest and Food

View full text Add to dashboard Cite

Onion is an important economical and nutritional vegetable crop having a global demand. However, the long‐term storage and availability of quality produce during off seasons remain a constraint. The intricate process of quality degradation in onions, both pre and postharvest, is influenced by internal factors and storage conditions. To preserve the postharvest quality and prolong the shelf life of onions, effective postharvest technologies incorporating quality assessment and preservation treatments are crucial. This paper delves into the key factors associated with crop quality, postharvest treatments, and storage, providing a comprehensive understanding of their cause‐effect relationships. The primary objective of this review is to shed light on diverse postharvest treatments, storage conditions, and structures, along with their effects on the physical, chemical, and biochemical aspects of onions. Additionally, the study explores destructive and non‐destructive assessment technologies to evaluate the quality of onions. Storage and marketability is intricately tied to the advancement of appropriate technology aimed at minimizing losses during various stages of harvesting and storage conditions. This review serves as a preliminary document that can assist in exploring critical factors and advancing technologies to enhance the shelf life and quality of onions, bridging the gap between traditional methods and promising advancements.

show abstract

Section: Thermal Treatment/curingmentioning

confidence: 99%

Section: Postharvest Preservation Of Onionsmentioning

confidence: 99%

See 1 more Smart Citation

A comprehensive review on recent advances in postharvest treatment, storage, and quality evaluation of onion (Allium cepa): Current status, and challenges

Kiran,

Aradwad,

T. V.

et al. 2024

Future Postharvest and Food

View full text Add to dashboard Cite

show abstract

“…The Two models were used to fit the measured data. Kate, Chakraborty, Pawar, and Gorrepati (2019) reported the best on par fitting results by shed, Hukill and Ives model for the airflow resistance data of onion and these equations are also considered as the most commonly used equations for food commodities (Kashaninejad & Tabil, 2009).…”

Section: Modeling and Statistical Analysismentioning

confidence: 99%

Nonlinear and multiple linear regression analysis of airflow resistance in multiplier onion

Gomathy

Balakrishnan

Pandiselvam

2019

J Food Process Engineering

View full text Add to dashboard Cite

The estimation of horizontal and vertical airflow resistance is essential for fabricating storage cum curing structure for multiplier onion. The horizontal and vertical airflow resistance of multiplier onion (var. CO‐4) was investigated at three different moisture levels of 80.8, 84.2, and 88.8% w.b., and the airflow rates varied from 1 to 1.7 m3 s−1 m−2. The horizontal airflow resistance was studied at three different depths of fill of 10, 20, and 30 cm. The resistance of multiplier onion to airflow increased significantly with increasing depth of fill, moisture content, and airflow rate. Models, namely Shedd's, Hukill and Ives equation, were investigated to explore the horizontal airflow resistance of onion. Shedd's equation was found to be the most suitable model with a high coefficient of determination and low RMSE value. The vertical airflow resistance was studied at a depth of fill of 5–15 cm and spacing between racks of 20–40 cm. The airflow resistance may be best expressed by the linear model with the highest adjusted R2 of .842 and a predicted R2 of .8053. The optimum curing conditions were obtained at an airflow rate of 1.15 m3 s−1 m−2, 14.5 cm depth of fill, and 35 cm spacing between racks. Practical applications Multiplier onion being an important spice crop in southern parts of India, the effective storage of the same becomes very essential. Under monsoon conditions, farmers face heavy postharvest losses of rotting and sprouting caused due to improper aeration within the storage structures. The efficient designing of storage structure requires data on the effect of airflow rate, depth of filling, and spacing between racks. The airflow resistance data are vital for optimizing the dimensions of the storage structure. The effect of these parameters and their interactions has been analyzed for the first time using nonlinear and multiple linear regression analysis. The optimized design dimensions could be utilized by farmers for constructing an optimal storage structure for multiplier onion with minimal storage losses even under monsoon conditions.

show abstract

“…For grain aeration technology, it is critical to determine the pressure drop through grain bulk under vertical pressure. Pressure drop in rice [12][13][14], wheat [15,16], soybeans [17], corn [18], rape [19], and other crops has been studied using a variety of variables such as airflow velocity, bed depth, moisture content, filling mode, and theoretical models of pressure drop calculation [20,21].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Study of Pressure Drop Characteristics of Soybean Grain under Vertical Pressure

et al. 2022

View full text Add to dashboard Cite

The vertical pressure lead to increased airflow resistance through the grain bulk, which affected the efficiency of ventilation and drying. The effects of vertical pressures at 50, 150, and 250 kPa on the pressure drop characteristics of soybeans were studied using experiment and numerical simulation. The random packing and different compression states for soybean packed beds were generated by the Discrete Element Method (DEM). The Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD) were coupled to investigate the radial velocity and pressure drop of soybean bulk. The simulation results showed that the radial porosity had an oscillating distribution, and the radial average dimensionless velocity was consistent with the distribution trend of porosity. The increase in vertical pressure causes a decrease in porosity and an increase in local velocity. The PathFinder code was used as a supplementary method to calculate the pore path and pore characterization parameters, and the resistance coefficient term in the Forchheimer equation was determined. The compression of soybeans measured by the experiment mainly occurred within two hours after loading. The pressure drop of soybeans increased with the vertical pressure, with the average pressure drop at vertical pressures of 50, 150, and 250 kPa being 36%, 57%, and 92% higher than the uncompressed state (0 kPa). The pressure drop of soybeans calculated by the DEM-CFD method and the Forchheimer equation under different vertical pressures were in close agreement with the experimental results, and an average relative difference was found to be less than 10%. These results provide guidance for estimating the pressure drop of soybeans at different grain depths.

show abstract

Airflow resistance and pressure drop behavior in different conditions of bulk‐stored onion and its dynamic modeling

Cited by 5 publications

References 30 publications

A comprehensive review on recent advances in postharvest treatment, storage, and quality evaluation of onion (Allium cepa): Current status, and challenges

A comprehensive review on recent advances in postharvest treatment, storage, and quality evaluation of onion (Allium cepa): Current status, and challenges

Nonlinear and multiple linear regression analysis of airflow resistance in multiplier onion

Experimental and Numerical Study of Pressure Drop Characteristics of Soybean Grain under Vertical Pressure

Contact Info

Product

Resources

About