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Statistical and Physical Characteristics for Separation Defective Berries of Seeded and Seedless Raisin Varieties

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AbstractSelected physical properties of intact and defective berries of two seeded and seedless raisin varieties were evaluated at safe moisture content. The size of intact and defective seeded and seedless raisin berries was statistically analyzed using three‐parameter Weibull and radar distributions in order to simulate separation and classification processes and to estimate the sieve hole size. Separation tests were also carried out in order to determine the actual hole size and screening efficiency. The results showed that physical properties of intact and defective berries are useful in the separating process. The statistical results indicated that the distributions are relevant for modeling the probability distribution of size parameters of the berries. Using the results of statistical and experimental tests, the optimum hole size and screening efficiency of separator sieve for both raisin varieties were obtained. Finally, a two‐stage circuit for separation and classification of the raisins was presented.Practical ApplicationsWe measured physical properties of seeded and seedless raisins at safe moisture content. We classified both raisin berries as a function of bivariable Weibull distribution. We simulate and stipulate how to obtain appropriate hole size of a separator sieve. We calculated the efficiency of separator screen for both raisin varieties. We configured a two‐stage circuit for separation and classification of the raisin types.
Title: Statistical and Physical Characteristics for Separation Defective Berries of Seeded and Seedless Raisin Varieties
Description:
AbstractSelected physical properties of intact and defective berries of two seeded and seedless raisin varieties were evaluated at safe moisture content.
The size of intact and defective seeded and seedless raisin berries was statistically analyzed using three‐parameter Weibull and radar distributions in order to simulate separation and classification processes and to estimate the sieve hole size.
Separation tests were also carried out in order to determine the actual hole size and screening efficiency.
The results showed that physical properties of intact and defective berries are useful in the separating process.
The statistical results indicated that the distributions are relevant for modeling the probability distribution of size parameters of the berries.
Using the results of statistical and experimental tests, the optimum hole size and screening efficiency of separator sieve for both raisin varieties were obtained.
Finally, a two‐stage circuit for separation and classification of the raisins was presented.
Practical ApplicationsWe measured physical properties of seeded and seedless raisins at safe moisture content.
We classified both raisin berries as a function of bivariable Weibull distribution.
We simulate and stipulate how to obtain appropriate hole size of a separator sieve.
We calculated the efficiency of separator screen for both raisin varieties.
We configured a two‐stage circuit for separation and classification of the raisin types.

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