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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2017, Vol. 38 ›› Issue (9): 421209-421209.doi: 10.7527/S1000-6893.2017.421209

• Material Engineering and Machine Manufacturing • Previous Articles     Next Articles

Force-constraint method for localization of ceramic core of hollow turbine blade

CUI Kang, WANG Wenhu, JIANG Ruisong, ZHAO Dezhong, JIN Qichao   

  1. Key Laboratory of Contemporary Design and Integrated Manufacturing Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2017-03-01 Revised:2017-04-21 Online:2017-09-15 Published:2017-05-18
  • Supported by:

    National Natural Science Foundation of China (51475374,51505387);the Fundamental Research Funds for the Central Universities (3102015ZY087)

Abstract:

The wax pattern is always used as a dimension transfer component in near-net-shape casting process for a hollow turbine blade, and its wall-thickness accuracy entirely depends on the positional relationship between the die cavity of the wax pattern and the internal ceramic core. Generally, the ceramic core is located in the wax pattern die through a series of locating rods. In order to reduce the positional shift of the ceramic core caused by locating errors, a locating layout optimization method based on the force-balance constraint is proposed in this paper. An error transfer model, which formulates the mapping relationship between localization errors and perpetuation of the ceramic core, is established. According to the static equilibrium theory, an optimization model for locating the layout of the ceramic core is then proposed based on gravity constraint. Considering the discrete feature of locating the candidate point on the surface of the ceramic core, a solving strategy for the optimization model is given by utilizing the genetic algorithm. Comparisons of simulation results prove that the locating layout optimized with the method in this paper can improve the localization accuracy of the ceramic core, while guaranteeing the localization stability. Based on a wax injection experiment, the feasibility of the optimization result is also demonstrated.

Key words: hollow turbine blade, wax pattern, ceramic core, localization layout, force balance, genetic algorithm

CLC Number: