The application provides a
heat exchanger mixed
convection heat transfer performance prediction method and
system, and relates to the technical field of
heat transfer and
engineering thermophysics. The method comprises the following steps: obtaining pure
natural convection experimental data and fitting a
natural convection heat transfer correlation formula; obtaining mixed
convection experimental data; constructing a mixed
convection heat transfer correlation formula prototype based on a nonlinear superposition model; substituting the
natural convection heat transfer correlation formula into the prototype, traversing the
coupling index, and inversely separating the
forced convection component from the mixed data to fit the
forced convection heat transfer correlation formula and the error under each
coupling index; screening the optimal
coupling index and the corresponding optimal
forced convection heat transfer correlation formula based on an optimization criterion, substituting the optimal coupling index and the corresponding optimal forced
convection heat transfer correlation formula into the prototype to obtain the final mixed
convection heat transfer correlation formula; obtaining the Rayleigh number and the Reynolds number of a to-be-predicted working condition, and substituting the Rayleigh number and the Reynolds number into the final correlation formula to predict the mixed convection Nusselt number. The application realizes accurate prediction of the
heat exchanger mixed
convection heat transfer performance under the condition of only pure natural convection and mixed convection data.