Resistance of bulk pistachio nuts (Ohadi variety) to airflow

Kashaninejad, Mahdi; Tabil, Lope G.

doi:10.1016/j.jfoodeng.2008.06.007

Cited by 23 publications

(31 citation statements)

References 22 publications

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“…This indicated that the modified Shedd equation is a better choice for predicting pressure drop through bulk soybean grain beds followed by Hukill and Ives equation and modified Ergun equation. Similar results were reported for bulk pistachio nuts (Kashaninejad and Tabil, 2009), walnuts (Rajabipour et al, 2001), pulse grains (Nimkar and Chattopadhyay, 2003) and for beds of apples (Verboven et al, 2004).…”

Section: Resultssupporting

confidence: 80%

“…The phenomenon of pressure drop in airflow through agricultural products has been widely investigated for various grains (Nimkar and Chattopadhyay, 2003;Rajabipour et al, 2001) and root vegetables and other crops (Kashaninejad and Tabil, 2009;Reed et al, 2001;Shahbazi and Rajabipour, 2008;Verboven et al, 2004). In most cases, data were analyzed by means of Shedd (1953) and Hukill and Ives (1955) equations.…”

Section: Introductionmentioning

confidence: 99%

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Airflow resistance in soybean

Kenghe¹,

Nimkar²,

Shirkole³

et al. 2012

International Agrophysics

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A b s t r a c t. Resistance of material to airflow is an important factor to consider in the design of a dryer or an aeration system. The airflow resistance of soybean was determined with the modified airflow resistance apparatus. It was found that pressure drop increased with increase in airflow rate, bulk density, bed depth and decreased with moisture content. Modified Shedd equation, Hukill and Ives equation and modified Ergun equation were examined for pressure drop prediction. Airflow resistance was accurately described by modified Shedd equation followed by Hukill and Ives equation and modified Ergun equation. The developed statistical model comprised of airflow rate, moisture content and bulk density could fit pressure drop data reasonably well.K e y w o r d s: airflow resistance, pressure drop, soybean, models INTRODUCTIONThe soybean (Glycine max L.) has been reported to have originated in Eastern Asia. It contains about 20% oil and 40% protein. Soybean protein is rich in the valuable amino acid lycine (5%). A large number of Indian and Western dishes such as bread, chapati, milk, sweets, pastries etc. can be prepared with soybean. Production of soybean in India at present is restricted mainly to Madhya Pradesh, Uttar Pradesh, Maharashtra and Rajasthan. It is also grown on a small acreage in Andhra Pradesh, Karnataka, Nagaland and Gujarat. In India during 2007-08 area, production and yield of soybean is recorded as 8.88 mln ha, 9.99 mln t and 1 124 kg ha -1 , respectively (ISO, 2007).The relationship between a drop in pressure and the rate of airflow through an agricultural product is important in the design of drying or aeration systems. Resistance to airflow is a function of both product and air properties (Khatchatourian and Oliveira, 2006). The air pressure, required to force air through a bed of grain, is dissipated continuously due to friction and turbulence. The pressure drop for airflow through any particulate system depends on the rate and direction of airflow, surface and shape characteristics of the grain, the number, size and configuration of the voids, the particle size range, bulk density, depth of product bed, method of filling bin, fines concentration and moisture content. The data on the airflow-static pressure relationship of a number of agricultural grains have been published (ASABE, 2007). Most of researchers have reported airflow resistance data for agricultural grains but for low ranges of airflow. The data on airflow resistance of agricultural crops are scarce for high airflow range as reported by Nimkar and Khobragade (2006).The phenomenon of pressure drop in airflow through agricultural products has been widely investigated for various grains (Nimkar and Chattopadhyay, 2003;Rajabipour et al., 2001) and root vegetables and other crops (Kashaninejad and Tabil, 2009;Reed et al., 2001;Shahbazi and Rajabipour, 2008;Verboven et al., 2004). In most cases, data were analyzed by means of Shedd (1953) and Hukill and Ives (1955) equations. Both the models have been widely used because they ...

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Section: Resultssupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Airflow resistance in soybean

Kenghe¹,

Nimkar²,

Shirkole³

et al. 2012

International Agrophysics

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show abstract

“…From Table , it could be observed that the airflow resistance was most likely to be influenced significantly by airflow rate (A) ( p < .0001) and depth of filling (B) ( p < .0001) followed by spacing between racks (C) ( p < .0028) and moisture content (D) ( p < .0090). Dependence of airflow resistance on depth of fill, airflow rate, and moisture content was also reported for sugar beets (Tabil, White, Kienholz, Hong, & Marshall, ), for potato (Shahbazi & Rajabipour, ), for locust bean seed (Jekayinfa, ; Kashaninejad & Tabil, ), and for pistachio nuts (Kashaninejad, Maghsoudlou, Khomeiri, & Tabil, ).…”

Section: Resultsmentioning

confidence: 64%

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

Gomathy

Balakrishnan

Pandiselvam

2019

J Food Process Engineering

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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.

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“…The model that has the best description of resistance to the air passage is one that has the highest coefficient of determination, and the lowest average percentage deviation (P) is recommended to be less than 5% (Kashaninejad and Tabil, 2009). The two settings used were below this recommendation in evaluating this parameter.…”

Section: Resultsmentioning

confidence: 99%

Variation of static pressure in a crambe (Crambe abyssinica Hochst) grains column

BrandÃ£o¹,

Silva²,

Sperotto³

et al. 2016

Afr. J. Agric. Res.

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The crambe has emerged as an option for the production of biodiesel, constituting itself as an alternative for off-season grain in Brazil. To obtain the best performance in the post-harvest product processing, knowledge of physical characteristics of the grains to as well as of the design of machines and structure storage is necessary. After pre-cleaning, the crambe (Crambe abyssinica Hochst) with a water content of 8% (wb) was placed into a silo prototype, provided a fan and plenum, and subjected to five airflow densities that were pre-determined in a total of four repetitions for each tested airflow. The static pressure was measured through the column in five layers. The results show that there is a significant effect of air flow on the static air pressure in the crambe column, which increased linearly with depth. The experimental data fitted with good accuracy the models of Hunter and Shedd, thus enabling their use for the crambe column as well. The objectives of this study were to evaluate the variation of static pressure along a column of grains of crambe that were subjected to five airflow densities and check the fit of this variation following mathematical models suggested by Sheed and Hunter.

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Resistance of bulk pistachio nuts (Ohadi variety) to airflow

Cited by 23 publications

References 22 publications

Airflow resistance in soybean

Airflow resistance in soybean

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

Variation of static pressure in a crambe (Crambe abyssinica Hochst) grains column

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