Host: The Japan Society of Mechanical Engineers
Name : Mechanical Engineering Congress,Japan
Date : September 11, 2016 - September 14, 2016
Polynomial Chaos Expansion, which is a computationally efficient method for performing uncertainty analysis on large complicated models, is applied to a 2-D turbine blade conjugate heat transfer model, and an uncertainty of blade surface temperature associated with an inlet gas temperature and a TBC thickness is evaluated with 6 model runs. A surrogate model obtained in the polynomial method predicts computational results with great accuracy. It is concluded that the polynomial method is useful for uncertainty quantification of turbine blade temperature estimation.
