An Intelligent Process Planning Method Based on Feature-based History Machining Data for Aircraft Structural Parts

Abstract

The process planning plays an important role in the machining process of a part, whose quality will influence the quality of product. However, the process planning mainly depends on human experiences which result in low level degree of automation and intelligence for a long period. Furthermore, the efficiency and quality of process planning cannot be guaranteed. To address the problems above, an intelligent process planning method based on feature-based history machining data is proposed for aircraft structural parts. The history machining data model is built firstly according to the characteristic of aircraft structural parts. Then the intelligent process planning is realized based on the history machining data model by considering the resource constraint, process constraint and result constraint. An application example shows that the proposed approach can accumulate machining experience effectively and improve the efficiency and quality of process planning, as well as the degree of automation and intelligence.