Energy and Quality Attributes of Combined Hot-Air/Infrared Drying of Paddy

REFERENCES

• Pan, Z.; Khir, R.; Godfrey, L.D.; Lewis, R.; Thompson, J.F.; Salim, A. Feasibility of simultaneous rough rice drying and disinfestations by infrared radiation heating and rice milling quality. Journal of Food Engineering 2008, 84, 469–479.
   Web of Science ®Google Scholar
• Zare, D.; Minai, S.; Mohamad Zadeh, M.; Khoshtaghaza, M.H. Computer simulation of rough rice drying in a batch dryer. Energy Conversion and Management 2006, 47, 3241–3254.
   Web of Science ®Google Scholar
• Zare, D.; Jayas, D.S.; Singh, C.B. A generalized dimensionless model for deep-bed drying of paddy. Drying Technology 2012, 30, 44–51.
   Web of Science ®Google Scholar
• Cnossen, A.G.; Siebenmorgen, T.J. The glass transition temperature concept in rice drying and tempering: Effect on milling quality. Transactions of the ASAE 2000, 43(6), 1661–1667.
   Google Scholar
• Fasina, O. Infrared heating of food and agricultural materials. ASABE Paper No: 036219; American Society of Agricultural and Biological Engineers: St. Joseph, MI, 2003.
   Google Scholar
• Kumar, D.G.P.; Hebbar, H.U.; Sukumar, D.; Ramesh, M.N. Infrared and hot-air drying of onions. Journal of Food Processing and Preservation 2005, 29, 132–150.
   Web of Science ®Google Scholar
• Wang, J.; Sheng, K. Far infrared and microwave drying of peach. LWT- Food Science and Technology 2006, 39(3), 247–255.
   Web of Science ®Google Scholar
• Pan, Z.; Atungulu, G.G. Infrared Heating for Food and Agricultural Processing; CRC Press: Boca Raton, FL, 2011.
   Google Scholar
• Sandu, C. Infrared radiative drying in food engineering: A process analysis. Biotechnology Progress 1986, 2, 109–119.
   PubMed Web of Science ®Google Scholar
• Adonis, M.; Khan M.T.E. Combined convective and infrared drying model for food applications. IEEE Africon 2004, 2, 1049–1052.
   Google Scholar
• Das, I.; Das, S.K.; Bal, S. Drying performance of a batch type vibration aided infrared dryer. Journal of Food Engineering 2004, 64(1), 129–133.
   Web of Science ®Google Scholar
• Amaratunga, K.S.P.; Pan, Z.; Zheng, X.; Thompson, J.F. Comparison of drying characteristics and quality of rough rice dried with infrared and heated air. ASABE Paper No. 056005; American Society of Agricultural and Biological Engineers: St. Joseph, MI, 2005.
   Google Scholar
• Khir, R.; Pan, Z.; Salim, A.; Hartsough, B.; Mohamed, S. Moisture diffusivity of rough rice under infrared radiation drying. LWT - Food Science and Technology 2011, 44(4), 1126–1132.
   Web of Science ®Google Scholar
• Nasiroğlu, S.; Kocabiyik, H. Thin-layer infrared radiation drying of red pepper slices. Journal of Food Process Engineering 2009, 32(1), 1–16.
   Web of Science ®Google Scholar
• Nimmol, C.; Devahastin, S.; Swasdisevi, T.; Soponronnarit, S. Drying of banana slices using combined low-pressure superheated steam and far-infrared radiation. Journal of Food Engineering 2007, 81, 624–633.
   Web of Science ®Google Scholar
• Pan, Z.; Olson, D.A.; Amaratunga, K.S.P.; Olsen, C.W.; Zhu, Y.; McHugh, T.H. Feasibility of using infrared heating for blanching and dehydration of fruits and vegetables. ASABE Paper No. 056086; American Society of Agricultural and Biological Engineers: St. Joseph, MI, 2005.
   Google Scholar
• Afzal, T.M.; Abe, T.; Hikida, Y. Energy and quality aspects during combined FIR convection drying of barley. Journal of Food Engineering 1999, 42, 177–182.
   Web of Science ®Google Scholar
• Graupe, D. Principles of Artificial Neural Networks; World Scientific Publishing Co. Pte. Ltd.: Singapore, 2007.
   Google Scholar
• Farkas, I.; Reményi, P.; Biró, A. Modelling aspects of grain drying with a neural network. Computer and Electronics in Agriculture 2000, 29, 99–113.
   Web of Science ®Google Scholar
• Huang, B.; Mujumdar, A.S. Use of neural network to predict industrial dryer performance. Drying Technology 1993, 11(3), 525–541.
   Web of Science ®Google Scholar
• Trelea, I.C.; Courtois, F.; Trystram, G. Dynamic models for drying and wet-milling quality degradation of corn using neural networks. Drying Technology 1997, 15(3–4), 1095–1102.
   Web of Science ®Google Scholar
• Hernández-Pérez, J.A.; Garcıa-Alvarado, M.A.; Trystram, G.; Heyd, B. Neural networks for the heat and mass transfer prediction during drying of cassava and mango. Innovative Food Science & Emerging Technologies 2004, 5(1), 57–64.
   Google Scholar
• Movagharnejad, K.; Nikzad, M. Modeling of tomato drying using artificial neural network. Computers and Electronics in Agriculture 2007, 59, 78–85.
   Web of Science ®Google Scholar
• Momenzadeh, L.; Zomorodian, A.; Mowla, D. Experimental and theoretical investigation of shelled corn drying in a microwave-assisted fluidized bed dryer using Artificial Neural Network. Food and Bioproducts Processing 2011, 89, 15–21.
   Web of Science ®Google Scholar
• Cakmak, G.; Yıldız, C. The prediction of seedy grape drying rate using a neural network method. Computers and Electronics in Agriculture 2011, 75, 132–138.
   Web of Science ®Google Scholar
• Lertworasirikul, S.; Tipsuwan, Y. Moisture content and water activity prediction of semi-finished cassava crackers from drying process with artificial neural network. Journal of Food Engineering 2008, 84, 65–74.
   Web of Science ®Google Scholar
• Lu, R.; Seibenmorgen, T.J. Correlation of HRY to selected physical and mechanical properties of rice kernel. Trans. of the ASAE 1995, 38, 889–894.
   Google Scholar
• Zhang, Q.; Yang, W.; Sun, Z. Mechanical properties of sound and fissured rice kernel and their implication for rice breakage. Journal of Food Engineering 2005, 68, 65–67.
   Web of Science ®Google Scholar
• Siebenmorgen, T.J.; Qin, G. Relating rice kernel breaking force distribution to milling quality. Trans. ASAE 2005, 48, 223–228.
   Google Scholar
• Sun, D.W. Thermal Food Processing: New Technologies and Quality Issues; CRC Press: Boca Raton, FL, 2006.
   Google Scholar
• Tripathy, P.; Kumar, S. Neural network approach for food temperature prediction during solar drying. International Journal of Thermal Science 2008, 48, 1452–1459.
   Web of Science ®Google Scholar
• Zare, D.; Ranjbaran, M. Simulation and validation of microwave-assisted fluidized bed drying of soybean. Drying Technology 2012, 30(3), 236–247.
   Web of Science ®Google Scholar
• ASAE. Resistance to airflow of grains, other agricultural products, and perforated metal sheets. ASAE Standards D272.3 DEC01; ASAE: St. Joseph, MI, 2004.
   Google Scholar
• Brooker, D.B.; Hall, C.W. Drying and Storage of Oilseeds; AVI Publishing Company: New York, 1992.
   Google Scholar
• Zare, D.; Chen, G. Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying. Computers and Electronics in Agriculture 2009, 68, 78–87.
   Web of Science ®Google Scholar
• Afzal, T.; Abe, M. Some fundamental attributes of far infrared radiation drying of potato. Drying Technology 1999, 17(1&2), 137–155.
   Web of Science ®Google Scholar
• Shi, J.; Pan, Z.; McHugh, T.H.; Wood, D.; Hischberg, E.; Olson, D. Drying and quality characteristics of fresh and sugar-infused blueberries dried with infrared radiation heating. LWT—Food Science and Technology 2008, 41, 1962–1972.
   Web of Science ®Google Scholar