Identification of insulating materials thermal properties by inverse method using reduced order model

The analytical models used by hot-wire type probes are no longer suitable for the characterization of insulating materials. This paper proposes a solution, which is based on numerical reduced order technique named AROMM (Amalgamated Reduced Order Modal Method) coupled to an inverse procedure. We demonstrate that single model provides precise results insulated materials characterized different thermal properties, with advantage computing 250 times faster than classical finite element modelization. Such then tested through multiple scenarios in evaluate accuracy proposed methodology. Results show importance sensitivity measurement regarding sought parameters, later intervene during identification process. A statistical study allows us access satisfying confidence interval common noise. At last, influence eventual contact resistance conducted.