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针对高精度复杂空心涡轮叶片成形精度难控制问题,基于光学测量型面的数据偏差分析技术,开展涡轮叶片实测数据的处理与配准及凝固收缩多因素耦合变形等关键技术研究。并在此基础上,综合考虑叶片体积收缩补偿和弯扭复合变形补偿等因素,建立空心涡轮叶片近净形过程位移场,完成空心涡轮叶片精铸模具型腔的逆向修复设计。研究结果表明:该方法能够有效地控制叶片尺寸精度与尺寸稳定性,提高了模具型腔精度及可靠性,具有极为重要的理论意义和工程实用价值。
Aiming at the difficult control of forming precision of complex hollow turbine blades, the key technologies of data processing and registration of measured data of turbine blades and multi-factor coupling deformation of solidification and shrinkage are studied based on the data deviation analysis technology of optical measuring profile. On this basis, considering the factors of blade volumetric shrinkage compensation and bending-torsion composite deformation compensation, the displacement field of the nearly turbine-shaped hollow turbine blade is established and the reverse repair design of the hollow turbine blade casting mold cavity is completed. The results show that this method can effectively control the dimensional accuracy and dimensional stability of the blade and improve the accuracy and reliability of the cavity of the mold, which has extremely important theoretical significance and engineering practical value.