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首页> 外文期刊>Research Journal of Fisheries and Hydrobiology >Empirical Modeling Study in Predicting Temperature Profile within the Convective Oven
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Empirical Modeling Study in Predicting Temperature Profile within the Convective Oven

机译:对流烤箱内温度分布预测的经验建模研究

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Baking process is an important unit operation in the food industry. A good understanding on the dynamic behavior during baking process is important to ensure proper control. This study aims to develop the empirical model of the cake baking process using laboratory scale convection oven. Set point temperature was chosen as the manipulated variable and actual oven temperature was the controlled variable. No disturbance was considered in this process. Empirical model is developed by applying step change in the set point temperature. The model is represented using second order plus time delay (SOPTD). By increasing the operating temperature, there is a significantly decreases of process gain of the system and the damping coefficient, and a significantly increases of natural damping coefficient and time delay. The developed model fits well with the validated data, R2 > 0.9.
机译:烘焙过程是食品工业中重要的单元操作。充分了解烘烤过程中的动态行为对于确保正确控制很重要。这项研究旨在开发使用实验室规模的对流烤箱的蛋糕烘烤过程的经验模型。选择设定点温度作为操作变量,而实际烤箱温度为控制变量。在此过程中未考虑任何干扰。通过在设定点温度上逐步变化来建立经验模型。该模型使用二阶加时间延迟(SOPTD)表示。通过提高工作温度,系统的过程增益和阻尼系数显着降低,自然阻尼系数和时延显着增加。开发的模型与验证数据非常吻合,R2> 0.9。

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