Complex Systems

Estimating Transient Surface Heating using a Cellular Automaton Energy-transport Model Download PDF

Vallorie J. Peridier
College of Engineering, Temple University,
1947 North Twelfth Street,
Philadelphia, PA 19122 USA

Abstract

The use of subsurface temperature data to estimate an unknown transient surface-heating event is a classic, and practical, inverse problem in engineering. This paper describes a new inverse heat-transfer estimation procedure that is formulated using a cellular automaton model of energy transport into the medium. The quantitative heat-flux estimates generated by this new scheme appear to have accuracies comparable to conventional inverse procedures; consequently, this new method may prove a useful alternative and/or confirmational strategy in measurement situations where the data is noise-ridden or the heating event is sporadic.