A Digital Twin-based on-site quality assessment method for aero-engine assembly

The assembly of aero-engine is characterized and challenged by complex components, multiple operating processes and multi-physical environment. Previous analysis techniques are mainly focused on the assembly designing stage while the variables in operating stage are rarely considered, which is against to individual accurate modeling faced with differential deviation distribution, back and forth assembly processing and various combination status. Therefore, an aero-engine assembly quality assessment method based on cumulative block information modeling and process-oriented assembly twinning is proposed in this paper. An analysis Digital Twin platform is established to integrate modules consisted of measurements, digital design models, geometric deviation analysis models, information model and databases to enable quality analysis during the assembly operating stage. Then, a prototype system is developed featured by full assembly cycle information blocks, dynamic modeling method based on Vector Loop and on-site data driven assembly quality assessment method. Finally, the proposed method and system is verified by an on-site aero-engine assembly experiment.

Automated summary

This paper proposes an aero-engine assembly quality assessment method based on cumulative block information modeling and process-oriented assembly twinning, and verifies the effectiveness of this method through experiments.