| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 11016 | |
| Number of page(s) | 16 | |
| Section | Manufacturing and Processing of Materials for Transport Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202340211016 | |
| Published online | 19 July 2023 | |
Data-measuring device to determine the thermophysical properties of polymer composites: information support part
Tambov State Technical University, 392036 Tambov, Russia
* Corresponding author: oleg.s.dmitriev@mail.ru
This paper deals with the problem of developing an information support subsystem of the data-measuring device for determining the thermophysical properties of polymer composites during cure, designed to identify the parameters of a mathematical model necessary to optimize the curing process of composites. Methods and algorithms for processing experimental data and calculating the thermophysical properties of polymer composites, based on an integral representation of the solution of the inverse heat conduction problem and a Kalman filter, has been developed. The structure of the construction, content, goals, parameters and functionality of the basic modules of the data-measuring device application software are presented. A subsystem of informational decision-making support has been developed for choosing the optimal method and algorithm for calculating the thermophysical properties of polymer composites, which allows minimization of the errors in determining properties under given experimental conditions. The subsystem is built on the alternative use of four algorithms for calculating thermophysical properties and is included as a module into the application software of an intelligent data-measuring device for studying the process of curing polymer composites.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.