Estimating Transient Surface Heating using a Cellular Automaton Energy-transport Model
نویسنده
چکیده
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.
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ورودعنوان ژورنال:
- Complex Systems
دوره 16 شماره
صفحات -
تاریخ انتشار 2005