Computational Methods for Thermal Properties of Composites
Development of Experimental and Computational Methodology for Investigation of Thermal Properties of Composite Materials Based on Inverse Problem Theory and Stochastic Approaches
Tech Area / Field
8 Project completed
Senior Project Manager
Komashko B A
MAI (Moscow Aircraft Institute), Russia, Moscow
- University of Leeds, UK, Leeds\nEuropean Space Agency / European Space and Technology Center, The Netherlands, Noordwijk\nEcole Politechnique de l'Uniersite de Nantes, France, Nantes\nDaimlerChrysler Aerospace, Germany, Bremen
Project summaryThe reliable thermal protection and insulation design problem becomes very important for structures under design weight limitations (space vehicles, aeronautical engineering, etc.). It is impossible to create reliable thermal protection and insulation system without carrying out of certain theoretical and experimental investigations of materials properties. Design of modern machines and energy production equipment are based on the mathematical models of corresponding physical processes. Widely using composite materials, ceramics and others' materials work under extreme thermal conditions with high temperatures and thermal loads. Under such conditions the methods of traditional metrology cannot give satisfactory values of their different properties, in particular, their thermophysical characteristics. It leads to difficulties in the design of systems and control of thermal processes because of high uncertainties in the above mentioned models.
In many practical situations it is impossible to measure directly such properties of analyzed materials (for example, composite) as thermophysical characteristics. The only way which can often be used to overcome these difficulties is indirect measurements. This type of measurements is usually formulated as the solution of inverse heat transfer problems. Such problems are ill-posed in mathematical sense and their main feature shows itself in the solution instabilities. That is why special regularizing methods are needed to solve them. The experimental methods of identification of the mathematical models of heat transfer based on solving of the inverse problems are one of the modern effective solving manners. Another direction of research is the development of theoretical models based on stochastic analysis of properties and structure of materials.
The goal of this project is to preserved the high level of investigations carried out by the scientific teams and to assist the conversion to civilian use, by supporting financially these team. Such research institutions as ESTEC/ESA(Netherlands), DASA(Germany), ISITEM (France) are interested in obtaining information of main results in this field and in transferring them to manufacturing industries as car industry, composite material production, casting and others.
The approach based on inverse methods has been analyzed separately in different countries and appears to be effective in the analysis of heat transfer processes in manufacturing of modern high temperature composite materials, car industry, aerospace industry, metallurgy, thermal control system and others. New metrology under development is the combination of accurate measurements of thermal quantities which can be experimentally observable under working conditions and accurate data processing which are based on the solutions of inverse heat transfer problems.
In the project, the development of methods for estimating thermophysical characteristics is carried out for thermally stable high temperature composite materials. For such materials the goal is to estimate the characteristics as temperature functions by using results of measuring boundary conditions and temperature histories inside the body consideration. For estimating thermophysical characteristics, it is extremely important to provide the maximum accuracy of final results. The way of improving the accuracy is based on the concepts of experiment design. This problem is also under analysis in the project. The experiment design problem is to choose such experimental conditions including heating rates and temperature measurements under which the accuracy will be maximized. One of the goals of the project is to develop methods and numerical algorithms for solving experiment design problems.
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