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Method and program for the interpolation of experimental results of determining the mechanical properties of mineral composites for modern machine–tools

机译:用于确定现代机床矿物复合材料力学性能的实验结果的内插方法和程序

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摘要

The paper presents a method of interpolating bifactorial experimental data with the aim of extending the results over the entire domain defined by the independent variables. This approach can be used in determining the optimum mineral casting mixes for a given application. Mechanical properties such as stiffness, ultimate tensile strength, yield strength and Poisson's coefficient can be improved.The paper describes the implementation of a radial basis function (RBF) algorithm in a MATLAB program for the interpolation of data, plotting of the results and the identification of the maximum dependent variable and the independent variables that correspond to it. It also provides the source code for the program along with explanations regarding its use. RBF interpolations can be used successfully in response surface methodology to generate approximations of the studied variables based on the experimental results. The program can be extended to work on any number of input and output variables.
机译:本文提出了一种插值双因子实验数据的方法,目的是将结果扩展到由独立变量定义的整个域。该方法可用于确定给定应用的最佳矿物铸件混合物。可以改善诸如刚度,极限抗拉强度,屈服强度和泊松系数等机械性能。本文介绍了在MATLAB程序中实现径向基函数(RBF)算法的过程,该算法用于数据插值,结果绘制和识别最大因变量和与其对应的自变量。它还提供了程序的源代码以及有关其用法的说明。 RBF插值可以成功地用于响应面方法,根据实验结果生成研究变量的近似值。该程序可以扩展为在任意数量的输入和输出变量上工作。

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