Key process identification method for aircraft skin milling based on quality characteristics and process correlation analysis

Abstract

As a key aircraft component, the machining quality of aircraft skin is difficult to control. This paper proposes a key process identification method for aircraft skin milling, which comprehensively considers the influence of key quality features and the correlation between features and processes. The Fuzzy Analytic Hierarchy Process and Entropy Weight Method are used to calculate the influence weights of quality features, and the key quality features are comprehensively identified by the improved Fuzzy Borda Method. The improved algorithm reduces the non-linearity of calculation and the weakening of evaluation, solving the problem of low discrimination in the recognition results of a single evaluation method; At the same time, combining factors such as process difficulty, the relationship between quality characteristics and processes was analyzed, and key processes were identified by calculating relational grade. The experimental results show that the key processes of skin milling are the previous procedures of key quality features and the process located in the middle of the skin. The recognition results are more accurate and scientific compared to the recognition methods that do not consider the relationship between features and processes. This has certain guiding significance for practical aircraft skin machining tools and has good generalizability.