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A computation-driven, energy-efficient and hybrid of microwave and conventional drying process for fast gooseberry candy production

机译:计算驱动,高能效,微波与常规干燥工艺相结合,可快速生产醋栗糖果

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The health benefits of Indian gooseberry have resulted in a tremendous growth in its consumption in the form of tasty candy and marmalade prepared by drying process. The candy production process is limited by high drying time and plant size requirements as most of the processing production plants are equipped with conventional drying methods. Hence, the paper presents computational model defining relation between electric field pattern with heating and moisture diffusion in the product simultaneously. The boundary value applies on Maxwell's equation solution as defined by gooseberry electrical properties. The solution to heat and mass transfer equation offers thermodynamic properties and profiles of gooseberry by microwave heating. The optimised process of moisture diffusion to the surface of gooseberry, followed by conventional heating, dries the sample uniformly and speeds up the process. The established relation offers a valid model for defining time for microwave and conventional heating of fresh gooseberry that takes it as an input and dries gooseberry candy as an output, thereby reducing the time of drying from 17 hours to 0.5 hour. The electromagnetic and thermodynamic results are obtained using simulation and are followed by experimental verification.
机译:印度醋栗的健康益处已导致其食用量的巨大增长,其形式是通过干燥过程制备的美味糖果和果酱。糖果的生产过程受到干燥时间和工厂规模要求的限制,因为大多数加工厂都配备了常规的干燥方法。因此,本文提出了一种计算模型,该模型同时定义了电场模式与加热和水分在产品中的扩散之间的关系。该边界值适用于由醋栗电特性定义的麦克斯韦方程式解。传热和传质方程的解通过微波加热提供了醋栗的热力学性质和轮廓。优化的水分扩散到醋栗表面的过程,然后进行常规加热,可均匀干燥样品并加快过程。建立的关系提供了一个有效的模型,用于定义新鲜醋栗的微波加热和常规加热时间,将其作为输入,并将醋栗糖干燥作为输出,从而将干燥时间从17小时减少到0.5小时。电磁和热力学结果通过仿真获得,然后进行实验验证。

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