Jeffrey Franklin
Airflow Sciences Corporation, Livonia, MI, 48150
Andrew L. Banka
Airflow Sciences Corporation, Livonia, MI, 48150
Numerical software used to predict material properties during the quenching process rely heavily on surface
heat transfer rates based on input heat transfer coefficients (HTC) typically derived from empirical relationships
or inversing techniques. The accuracy of these values are one of the most important factors controlling
the quality of the material property predictions. This paper discusses a method for accurately measuring heat
transfer rates seen in industrial oil quenching operations over a variety of quench tank conditions with the
goal of providing better quality heat transfer information to material property prediction software. The design
of an experimental fixture for measuring pseudo steady state boiling heat transfer rates on a 2 × 2 heated surface
is discussed. Numerous experimental data sets collected by the experimental fixture are shown followed
by a narrative review of the trends observed in the measured heat flux data. The development of a Computational
Fluid Dynamic (CFD) model based on the boiling heat flux data collected by the testing fixture is
discussed. Simulation predictions for two different parts is reviewed. This review discusses the experimentally
measured time temperature thermocouple data collected during the quenching operations and compares
these data to the numerical predictions of the CFD simulation. The CFD predicted HTCs are then compared
to HTC values determined by the standard inversing technique frequently used to determine HTC values used
as input to material modeling software.