Modeling and experimental study on deformation prediction of thin-walled turbine blades during investment casting process

Author:

Zhou Leyao1ORCID,Wang Donghong12ORCID,Cui Jiayu2ORCID,Zhao Daiyin3,Liu Shumei1,Shuai Sansan4,Yin Yajun5,Shu Da2

Affiliation:

1. School of Materials Engineering, Shanghai University of Engineering Science, Shanghai, China

2. Shanghai Key Laboratory of Advanced High Temperature Materials and Precision Forming, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

3. State Key Laboratory of Long-Life High Temperature Materials, Dongfang Electric Corporation Dongfang Turbine Co., LTD, Deyang, China

4. State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, Shanghai University, Shanghai, China

5. State Key Laboratory of Material Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan, China

Abstract

Due to variable cross-sections and a thin-walled structure, gas turbine blades have stringent dimensional, and geometrical tolerance requirements. Single-crystal hollow blades are manufactured using the following investment casting processes: ceramic core preparation, wax injection, ceramic coating, wax removal, metal casting, and finishing. The main causes of the final casting deformation are wax pattern deformation, core deflection, and metal solidification warpage. This paper proposes a numerical simulation method to predict the deformation of the wax pattern, core deflection, and the directional solidification (DS) process of large single-crystal blades. Additionally, it investigates the displacement field and the influence of casting process parameters on dimensional accuracy. Three groups of DS process parameters were selected for experiments, and the deformation prediction was in agreement with the experimental results. The selected blade section deformation is the smallest when the pouring temperature is 1530°C and the withdrawal rate is 5 mm/min. The proposed finite element model is efficient to predict the deformation in all the investment casting processes, providing geometric guidance for the control of the dimensional accuracy of the turbine blade.

Funder

State Key Laboratory of Materials Processing and Die & Mould Technology

National Natural Science Foundation of China

State Key Laboratory of Long-life High Temperature Materials

Key Research and Development Program of Zhejiang

National Science and Technology Major Projects of China

National Key Research and Development Program of China

Shanghai Aerospace Science and Technology Innovation

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

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