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An integrated energy and quality approach to optimization of green peas drying in a hot air infrared-assisted vibratory bed dryer

机译:结合能量和质量的方法优化热风红外辅助振动床干燥机中豌豆的干燥

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摘要

In this study, the drying behavior of a small spherical product, green peas, from moisture content of 75.34 +/- 0.53 (%w.b.) to 20.02 +/- 0.14 (%w.b.), was investigated in a hot air infrared-assisted vibratory bed dryer. The quality of dried product, including roundness, shrinkage and color, was assessed using machine vision techniques. The experiments were conducted using drying air temperatures of 30, 40, and 50 degrees C, infrared radiation intensity levels of 2000, 4000, and 9000W m(-2) as well as no radiation (control), green pea depths of 1, 2, and 3 layers, and two modes: vibratory and fixed bed. The specific energy consumption (SEC) of drying was also measured. The results showed that drying time and SEC decreased significantly in the vibratory bed (p < 0.01). In addition, the original quality of dried green peas was better maintained in the infrared-assisted vibratory bed dryer. Finally, drying time, shrinkage, roundness, color and moisture content of green peas were simulated for vibratory bed mode using Artificial Neural Network. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在这项研究中,研究了一种小型球形产品豌豆的干燥行为,其在热风红外辅助振动器中的水分含量从75.34 +/- 0.53(%wb)到20.02 +/- 0.14(%wb)床烘干机。使用机器视觉技术评估干燥产品的质量,包括圆度,收缩率和颜色。使用30、40和50摄氏度的干燥空气温度,2000、4000和9000W m(-2)的红外辐射强度水平以及无辐射(对照),豌豆深度为1、2进行实验,3层和两种模式:振动床和固定床。还测量了干燥的比能耗(SEC)。结果表明,振动床的干燥时间和SEC显着降低(p <0.01)。另外,在红外辅助振动床干燥机中可以更好地保持干豌豆的原始质量。最后,使用人工神经网络模拟了振动床模式下豌豆的干燥时间,收缩率,圆度,颜色和水分含量。 (C)2015 Elsevier Ltd.保留所有权利。

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