Adaptive Slicing Algorithm and Path Planning for Additive Manufacturing of Aerospace Parts

In the aerospace field, the requirements for high precision, lightweight and geometric complexity of complex structural parts are becoming increasingly stringent. Additive manufacturing,especially directed energy deposition(DED) technology has become the core means to achieve this goal. However, traditional additive manufacturing processes suffer from geometric deviations (such as the staircase effect) and low efficiency due to fixed slice layer thickness and unreasonable path planning. Moreover, the existing adaptive slicing algorithms and path planning technologies have not been deeply coordinated with advanced processes such as DED. This paper systematically reviews the research progress of adaptive slicing algorithms based on curvature, slope and features, and path planning technologies such as LSPB, MTT and robot instruction systems. It focuses on analyzing the application of the mechanism of matching path trajectories through dynamic layer thickness adjustment, combined with real-time monitoring of the molten pool image and synchronous control of robot motion in the manufacturing of aerospace parts. It also presents the achievements of high-precision manufacturing in aero-engine turbine blades and titanium alloy components with thin walls and holes. Finally, the existing challenges such as real-time optimization barriers, the compatibility problems of DED processes, and the contradiction between efficiency and precision under complex models, are put forward.