Heat transfer coefficients in the cooling cavities of turbine airfoils are greatly enhanced by the
presence of discrete ribs on the cavity walls. These ribs introduce two heat transfer enhancing
features: a significant increase in heat transfer coefficient by promoting turbulence and mixing, and
an increase in heat transfer area. Considerable amount of data are reported in open literature for
the heat transfer coefficients both on the rib surface and on the floor area between the ribs. Many
airfoil cooling design software tools, however, require an overall average heat transfer coefficient on
a rib-roughened wall. Dealing with a complex flow circuit in conjunction with 180∘ bends, numerous film holes, trailing-edge slots, tip bleeds, crossover impingement, and
a conjugate heat transfer problem; these tools are not often able to handle the geometric details of the
rib-roughened surfaces or local variations in heat transfer coefficient on a rib-roughened wall. On the
other hand, assigning an overall area-weighted average heat transfer coefficient based on the rib and
floor area and their corresponding heat transfer coefficients will have the inherent error of assuming
a 100% fin efficiency for the ribs, that is, assuming that rib surface temperature is the same as
the rib base temperature. Depending on the rib geometry, this error could produce an overestimation
of up to 10% in the evaluated rib-roughened wall heat transfer coefficient. In this paper, a correction
factor is developed that can be applied to the overall area-weighted average heat transfer coefficient
that, when applied to the projected rib-roughened cooling cavity walls, the net heat removal from the
airfoil is the same as that of the rib-roughened wall. To develop this correction
factor, the experimental results of heat transfer coefficients on the rib and on the surface area between
the ribs are
combined with about 400 numerical conduction models to determine an overall equivalent heat transfer
coefficient that can be used in airfoil cooling design software. A well-known group method of data
handling (GMDH) scheme was then utilized to develop a correlation that encompasses most pertinent
parameters including the rib geometry, rib fin efficiency, and the rib and floor heat transfer
coefficients.