Abstract
This paper presents a new measurement system for three-dimensional temperature distribution in a rotating Rayleigh-Benard convection based on color image processing. This system is an extension of two-dimensional temperature measurement system in which thermo-sensitive liquid-crystal suspension method is adopted for flow visualization and neural network is used for correlating between color and temperature. Interpolating two-dimensional temperature distributions in vertical plain by B-spline function, three-dimensional temperature distribution in the fluid layer was obtained.
