This study aimed to develop simple empirical equations to predict flaxseeds properties. The first part of the present study deals with the physical, aerodynamic and solid flow properties of flaxseeds which were evaluated as a function of change in moisture content from 8.60 to 23.90% dry basis (d.b.); the dimensions of the length, width and thickness varied from 4.14 to 4.32 mm, 2.03 to 2.13 mm and 0.88 to 0.93 mm, respectively. As the moisture content increased from 8.60 to 23.90% d.b., the bulk density, true density and porosity were found to decrease from 46.65 to 44.89 kg/m 3 , 1,244 to 1,176 kg/m 3 and 46.65 to 44.89%, whereas angle of repose and terminal velocity were found to increase from 27.6 to 35.8 0 and 2.46 to 3.56 m/s, respectively. The static coefficient of friction on various surfaces, namely plywood, stainless steel, galvanized iron, iron and internal also increased linearly with the increase in moisture content. The results of the experimental investigation may help to optimize some engineering parameters of separation equipment.The present work was carried out to separate flaxseed from light impurities (chaff, other debris from threshed flaxseed since the introduction of harvesting machine). It is difficult to separate seeds from straw and other foreign materials by using primary separation equipment. The difficulty comes from the narrow size and shape, angle for both of natural slope and friction between foreign materials and seeds. The second part was carried out on a series of experiments to specify the optimum conditions of separating operations which insure the highest grade of separation efficiency with minimum losses. Pneumatic separation equipment was manufactured and tested under different combinations of the following factors: airstream velocity, feed rate 1 Corresponding
His research is directed at machine vision processing and the development of different package systems and transportation for food products. Professor Amer Eissa has authored and co-authored of over 40 Journal articles, and more than four books. He has served as a member of different honorary societies in food engineering ,and is a technical reviewer for most journals in the field. He also supervises more than 25 postgraduate, MSc and PhD students.
The assessment and assurance of the quality attributes of dates is a key factor in increasing the competitiveness and consumer acceptance of this fruit. The increasing demand for date fruits requires a rapid and automated method for monitoring and analyzing the quality attributes of date fruits to replace the conventional methods used by inspection which limits the production and involves human errors. Moisture content (MC), dry matter content (DMC), and firmness (F) are three important quality attributes for two date cultivars (Khalas and Sukkari) that have been inspected using the hyperspectral imaging (HSI) technique based on the reflectance mode. Images of intact date fruits at the maturity stage Tamr were obtained within the wavelength range of 950–1750 nm. Monitoring and assessment of MC, DMC, and F [first maximum rupture force (MF, N)] were performed using a partial least squares regression model. Accurate prediction models were attained. The results highlight that the coefficients of determination (R2Prediction) are estimated to be 0.91 and 0.89 for MC, DMC, and F (N) with the lowest values of the standard error of prediction (SEP) equal to 0.82, 0.81 (%), and 4.12 (N), respectively, and the residual predictive deviation (RPD) values were 3.65, 3.69, and 3.42 for MC, DMC, and F (N), respectively. The results obtained from this preliminary study indicate the great potential of applying HSI for the assessment of physical, chemical, and sensory quality attributes of date fruits overall in the five maturity stages.
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