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Utilization of linearization methods for measuring of thermal properties of materials

机译:利用线性化方法测量材料的热性能

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The aim of the article is to describe the convective cooling of the measured samples and the subsequent processing of the measured to determine the material parameters of the solids in order to develop specialized software. In engineering practice, specifically in the field of materials research, it is necessary to measure the thermal properties of the materials under study. For a variety of materials, which may constitute the substitute for metals, such as steel, alloy, and others, including polymers and composites—especially for the newly developed materials, the table values of these parameters are not available. However, they are important to establish the thermal insulation properties of these materials, for further use in relevant industries. The time constant that determines the rate of cooling of the preheated sample is the basis for determining the additional thermal and technical parameters of the material. Based on the knowledge of the specific heat capacity, after specifying the range of the thermal diffusivity and thermal conductivity of the material, these parameters can be estimated. In order to estimate the coefficients, the non-linear parameter estimation methods can be used, which lead to the iterative calculations. A good candidate for these calculations is the MATLAB program, especially its CurveFitting toolbox. The price of Matlab SW, including CurveFitting Toolbox, is relatively high in terms of using the solution for this purpose. This resulted in the designing of new methods for CurveFitting described in this paper and implemented in the developed program named CurveFit.
机译:本文的目的是描述被测样品的对流冷却以及被测样品的后续处理,以确定固体的材料参数,以便开发专用软件。在工程实践中,特别是在材料研究领域,有必要测量所研究材料的热性能。对于可能构成金属的替代材料的各种材料,例如钢,合金等,包括聚合物和复合材料,尤其是对于新开发的材料,这些参数的表值不可用。但是,它们对于建立这些材料的隔热性能非常重要,以便在相关行业中进一步使用。确定预热样品冷却速率的时间常数是确定材料的附加热学和技术参数的基础。基于比热容的知识,在指定材料的热扩散率和导热率的范围后,可以估算这些参数。为了估计系数,可以使用非线性参数估计方法,这导致迭代计算。 MATLAB程序,尤其是它的CurveFitting工具箱,是这些计算的理想选择。就使用该解决方案而言,包括CurveFitting Toolbox在内的Matlab SW的价格相对较高。这导致了本文描述的曲线拟合的新方法的设计,并在名为CurveFit的已开发程序中实现。

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