Multi-objective optimization of precision processing parameter for aircraft intersection hole

Abstract

Intersection hole is the key connecting hole in aircraft assembly. The drilling accuracy and quality of intersection hole have great impact on the life and safety of aircraft. Traditional intersection hole takes drill plate as process criterion and uses manual processing methods, with low efficiency, low stability, and higher possibility of positional deviation. Numerical boring mill is a relatively advanced technique of intersection hole processing at present. This article focuses on the effect of processing parameters such as boring speed, feed, and cutting depth on the quality of intersection hole on aircraft vertical and horizontal tails. Surface roughness prediction model and cutting force prediction model are used to construct multi-objective optimized function. Objective constraint conditions are used, and the multi-objective optimized functions are solved by genetic algorithms. The optimization results are experimentally verified. The optimal parameter combination is obtained through the multi-objective optimized design of precision processing parameter of aircraft intersection hole, providing theoretical guidance for the selection of processing parameters in actual production.