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首页> 外文期刊>International journal of food properties >Measurement and prediction of the mechanical properties of a two-component food during freezing
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Measurement and prediction of the mechanical properties of a two-component food during freezing

机译:冷冻过程中两成分食品机械性能的测量和预测

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Freezing of water-rich materials inevitably leads to changes in volume and thermal stresses. Determining and modeling the thermal stresses require the mechanical properties of the food material to be properly measured or predicted during freezing. This paper investigated mechanical properties such as the Young’s modulus and Poisson’s ratio in chicken nugget crust and crumb samples at the different freezing temperatures (?20, ?30, and ?40°C). Mechanical properties were measured by compression tests at seven nugget-center temperatures and a continuous video capturing method during the freezing process. Results showed that ice formation led to a sharp increase in the Young’s modulus of samples, however, a gradual decrease in Poisson’s ratio values was observed as the nuggets’ center temperature approached the freezing point. Therefore, the greatest changes were observed at the freezing point. Kinetic and fitting equations were used to model the Young’s modulus, and the Arrhenius equation was used to describe the temperature dependence. The predicted values by the models were found in close agreement with the experimental results.
机译:富水材料的冻结不可避免地导致体积和热应力的变化。确定和建模热应力需要在冷冻过程中正确测量或预测食品材料的机械性能。本文研究了在不同冷冻温度(?20,?30和?40°C)下鸡块皮和面包屑样品中的机械性能,如杨氏模量和泊松比。通过在七个金块中心温度下的压缩测试和在冷冻过程中的连续视频捕获方法来测量机械性能。结果表明,结冰导致样品的杨氏模量急剧增加,但是,当金块的中心温度接近凝固点时,泊松比值逐渐降低。因此,在冰点观察到最大的变化。使用动力学方程和拟合方程对杨氏模量进行建模,并使用Arrhenius方程描述温度依赖性。通过模型预测的值与实验结果非常吻合。

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