Information support of the measuring device for choosing a thermophysical experiment data processing algorithm

Abstract

Abstract This paper addresses the problem of constructing a subsystem of informational decision-making support for choosing the optimal method and algorithm for calculating the thermophysical properties of polymer composites, which allows minimizing the error in determining properties under given experimental conditions. The subsystem is based on a modified hierarchy analysis method. It is built on the alternative use of four algorithms for the calculation of thermophysical properties and is included as a module in the application software of an intelligent data-measuring device for studying the curing process of polymer composites. Using simulation modeling, an assessment of the possibility of using algorithms for calculating thermophysical properties under various combinations of experimental conditions was made. The structure, composition, principles of construction, purpose, capabilities and parameters of the main modules of the applied software of the data-measuring device are described.