ABSTRACT
Introduction .........................................................................................................425 Brief historical analysis of background and survey .....................................429 Experiment design problem statement ...........................................................432 Iterative method of optimal design of thermosensor installation
and signal reading times ..........................................................................443 Experiment design for lumped parameter systems......................................452 Conclusions..........................................................................................................455 References.............................................................................................................455
A large class of promising methods for the analysis and interpretation of data from transient thermophysical experiments is based on the solution of the inverse heat transfer problems. In this approach, the coefficients (thermophysical characteristics) or boundary conditions in the heat transfer equation are determined from the known boundary and/or initial conditions and from the data of transient temperature measurements at a finite number of spatially distributed points in the analyzed specimen. The chief advantage of these methods is that they enable us to conduct experimental investigations and tests under conditions as close to nature as possible, or directly during operation of real systems. Features of the ill-posed inverse heat transfer problem require special mathematical methods for solving them as well as a proper technical organization of the experimental studies. Only a
