A cutting parameter optimization method based on dynamic machining features for complex structural parts

Complex structural parts are pervasive and playing an important role in the aircraft manufacturing area. In order to improve the machining efficiency, the cutting parameter optimization of complex structural parts during the machining has always been a problem in manufacturing industry. At present, the cutting parameters are usually optimized based on the final state of complex structural parts and remain unchanged during the machining process, which may not consider the cutting parameter optimization of workpiece in the intermediate machining process. Thus, a cutting parameter optimization method based on dynamic machining features for complex structural parts is proposed to improve the machining efficiency and guarantee the product quality during the machining process. The interim geometric state of each machining occasion is constructed in order to analyze the chatter stability. Then, the cutting parameters are optimized using a genetic algorithm within the limits of chatter stability.