Abstract
AbstractIn modern aero-engine assembly production, the assembly deviation analysis method plays an important role in product quality and efficiency. Various mathematical model based analysis methods are studied to realize assembly deviation prediction. However, most established analysis methods require abstraction and simplification of geometric deviations, which results in the inability to accurately characterizing the surface deviation features and analyzing the impact of deviation characteristics on the assembly. Therefore, a Skin Model Shapes based assembly deviation analysis method is proposed to enhance the accuracy and efficiency of deviation identification and assembly. This method enables the analysis of the assembly deviation caused by the surface deviation feature. The feature surface is represented by Skin Model Shapes, which is generated from surface measurement data. An assembly experiment of high pressure turbine components is performed to illustrate the procedure of this method, and the effectiveness of the method is verified by comparing the experimental and simulation results.KeywordsAero-engineStacking assemblyVirtual assemblySkin Model Shapes
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