Multi-stage rotors assembly of turbine-based combined cycle engine based on augmented reality

Abstract

To improve the assembly accuracy and efficiency of turbine-based combined cycle engines, we propose a multi-stage rotors assembly method based on augmented reality (AR) for turbine-based combined cycle engines. Combining the high fidelity interaction and edge computing capabilities of AR device, the real-time assembly guidance of multi-stage rotors of turbine-based combined cycle engine is realized. A new multi-stage rotors assembly mathematical model is proposed by introducing clearance errors to achieve prediction of coaxiality and perpendicularity in multi-stage rotors assembly. A point cloud registration method with equal-area constraints is proposed based on the requirement of AR virtual-real registration, combined with the triangulated graph. The experiment selected the multi-stage rotors of a simulated combination cycle engine for assembly. The experimental results showed that our AR system has an average delay of 11 ms and an average frame rate of 45fps. The accuracy of virtual-real registration is superior to current mainstream registration methods. The coaxiality prediction error and the perpendicularity prediction error for multi-stage rotors assembly is 0.5 μm and 0.4 μm, respectively. This system provides an efficient and accurate assembly plan for the rotors assembly of turbine-based combined cycle engines, meeting the actual assembly requirements on site.