Modeling Moisture Movement in Rice

作者: Bhagwati Prakash , Zhongli P

DOI: 10.5772/15317

关键词:

摘要: Rice is one of the leading food crops in world with total annual production being about 448 million metric tons on milled rice basis 2008/09 year (USDA, 2010). found marketplace different forms depending level its subsequent processing. Rough (or paddy rice) that obtained just after harvest. After removal outer husk hull), it becomes brown rice. Brown milling, where bran layer and embryo removed become whiter color called white favored form human consumption most countries. generally harvested at 18-24% moisture contents wet requires drying down to 12-14% for safe storage. At commercial scale, carried out by blowing heated air over grains causing them lose rapidly. In addition drying, movement inside kernels occurs when exposed dry or humid environments desorption adsorption moisture, respectively, during any preharvest post-harvest stages. During processes, surface kernel reaches equilibrium content surrounding environmental conditions very rapidly, however, center changes slowly, developing gradients within kernel. Higher magnitudes such are believed be major reasons fissures cracks rice, which result broken milling. Milled three-fourths more unbroken length head while rest 1994). Since full-length grain preferred has typically half market value than (Mossman, 1986; Thompson & Mutters, 2006). Therefore, reducing fissuring been an important goal research. last five decades, many researchers have pursued mathematical modeling process. Key objective model development was determine sample certain period. Development models also assisted understanding impact factors affecting process temperature speed optimizes time, without performing a large number experiments. Mathematical were used might affect fissuring. improve process, can help making decisions whether particular period time significant

参考文章(46)
Abram Solomonovich Ginzburg, Application of infra-red radiation in food processing Leonard Hill Books. ,(1969)
Nripendra N. Sarker, Otto R. Kunze, Theofanis Strouboulis, FINITE ELEMENT SIMULATION OF ROUGH RICE DRYING Drying Technology. ,vol. 12, pp. 761- 775 ,(1994) , 10.1080/07373939408959994
Christie J. Geankoplis, Transport processes and unit operations ,(1978)
John Crank, The mathematics of diffusion ,(1956)
R. AGUERRE, C. SUAREZ, P. E. VIOLLAZ, Drying kinetics of rough rice grain International Journal of Food Science and Technology. ,vol. 17, pp. 679- 686 ,(2007) , 10.1111/J.1365-2621.1982.TB00227.X
Albert P. Mossman, George E. Miller, A review of basic concepts in rice-drying research. Critical Reviews in Food Science and Nutrition. ,vol. 25, pp. 49- 71 ,(1986) , 10.1080/10408398609527445
J.M. Henderson, S.M. Henderson, A computational procedure for deep-bed drying analysis Journal of Agricultural Engineering Research. ,vol. 13, pp. 87- 95 ,(1968) , 10.1016/0021-8634(68)90084-X
Oktay Hacıhafızoğlu, Ahmet Cihan, Kamil Kahveci, Mathematical modelling of drying of thin layer rough rice Food and Bioproducts Processing. ,vol. 86, pp. 268- 275 ,(2008) , 10.1016/J.FBP.2008.01.002
G. L. Nelson, A New Analysis of Batch Grain-Drier Performance Transactions of the ASAE. ,vol. 3, pp. 0081- 0085 ,(1960) , 10.13031/2013.41126
C.I. Nindo, Y. Kudo, E. Bekki, Test Model for Studying Sun Drying of Rough Rice Using Far-Infrared Radiation Drying Technology. ,vol. 13, pp. 225- 238 ,(1995) , 10.1080/07373939508916951