Modeling of shrinkage during investment casting of thin-walled hollow turbine blades

Abstract The shrinkage ratio is a key parameter in designing the investment casting die for hollow turbine blades of high-performance aircraft engines. To avoid extensive modifications to the die shape, we took a single-crystal hollow turbine blade as the typical part to determine the nonuniform shrinkage distribution while considering its structural characteristics during investment casting. By using the structural identification method, different geometrical structures were identified, and the displacement field was established and verified via numerical prediction and experimental measurement. The deformation characteristics, including the wall-thickness distribution and shrinkage ratio, can be established by deformation decoupling analysis. The optimized die profile designed on the basis of the calculation results is in good agreement with the investment casting die in actual use, which indicates that the proposed method is beneficial for improving the geometrical accuracy of hollow turbine blades.

[1]  Thomas H. Hyde,et al.  FE prediction of residual stresses of investment casting in a Bottom Core Vane under equiaxed cooling , 2011 .

[2]  Wang,et al.  Geometric analysis of investment casting turbine blades based on digital measurement data , 2014 .

[3]  Hang Zhang,et al.  Numerical Simulation and Optimization of Directional Solidification Process of Single Crystal Superalloy Casting , 2014, Materials.

[4]  Wen-long Li,et al.  Section Curve Reconstruction and Mean-Camber Curve Extraction of a Point-Sampled Blade Surface , 2014, PloS one.

[5]  Kun Bu,et al.  Geometric parameter-based optimization of the die profile for the investment casting of aerofoil-shaped turbine blades , 2011 .

[6]  Himadri Chattopadhyay,et al.  Estimation of solidification time in investment casting process , 2011 .

[7]  Adrian S. Sabau,et al.  Alloy shrinkage factors for the investment casting process , 2006 .

[8]  Dong Yi-wei,et al.  Research on CMM-based measuring points' sampling and distribution method of blades , 2012 .

[9]  Dinghua Zhang,et al.  Cavity optimization for investment casting die of turbine blade based on reverse engineering , 2010 .

[10]  S. C. Modukuru,et al.  Determination of the die profile for the investment casting of aerofoil-shaped turbine blades using the finite-element method , 1996 .

[11]  Howard Stone,et al.  On the origin of sliver defects in single crystal investment castings , 2013 .

[12]  Fei Li,et al.  Influence of complex structure on the shrinkage of part in investment casting process , 2015 .

[13]  J. Jiang,et al.  Dimensional variations of castings and moulds in the ceramic mould casting process , 2007 .

[14]  Baicheng Liu,et al.  Experimental investigation on recrystallization mechanism of a Ni-base single crystal superalloy , 2016 .

[15]  Per Bergström,et al.  Evaluation of NURBS Surfaces for Regular Structured Parameter Values , 2015, J. Comput. Inf. Sci. Eng..

[16]  Hassan Farhangi,et al.  The Temperature Range in the Simulation of Residual Stress and Hot Tearing During Investment Casting , 2009 .

[17]  Fei Li,et al.  Cavity Pressure and Dimensional Accuracy Analysis of Wax Patterns for Investment Casting , 2013 .

[18]  Caiming Zhang,et al.  Adaptive knot placement using a GMM-based continuous optimization algorithm in B-spline curve approximation , 2011, Comput. Aided Des..

[19]  Anwar Khalil Sheikh,et al.  Simulation tools in enhancing metal casting productivity and quality: A review , 2016 .

[20]  Dinghua Zhang,et al.  Determination of interfacial heat-transfer coefficient during investment-casting process of single-crystal blades , 2011 .