Research On Optimization Technology Of Ultrasonic Cutting Tool Based On Approximate Model

NOMEX honeycomb composite materials are widely used in the aerospace field with its excellent physical properties.NOMEX honeycomb composite material is a kind of typical difficult to process high polymer composite material,the traditional milling process has many problems such as low surface quality,low machining accuracy,dust and so on.In recent years,the introduction of ultrasonic cutting technology,the effective solution to these problems.At present,the research of ultrasonic cutting technology is still in the primary stage,and the research of ultrasonic cutting tool is very rare.And ultrasonic cutting tool for ultrasonic cutting system is an important part,its performance improvement for ultrasonic cutting processing performance of the system is of great significance.Therefore,this paper will ultrasonic cutting tool structure optimization technology as the research object,and put forward the optimization technique based on particle swarm optimization(PSO)algorithm and support vector regression method combining,and verify the feasibility of the method,ultrasonic cutting tool structure parameters optimization provides a feasible way.The main research content of this paper is as follows:(1)Firstly,the research status at home and abroad is summarized by three aspects: the ultrasonic machining tool,the structural response model and the optimization algorithm.It is found that the main technical method in the field of traditional cutting tool structure optimization is the problem of the long time of the optimization process.In order to reduce the time cost of the optimization process,the time cost of the optimization process is studied,and the optimization techniques of the particle swarm optimization algorithm and support vector regression are proposed.(2)Based on the principle of ultrasonic machining technology,through the analysis of the ultrasonic cutting tool performance evaluation index to determine the maximum tool stress,tip amplitude and tip lateral displacement and tool components inherent frequency,as structural response approximate model output variables.(3)In order to obtain the training sample data quickly and conveniently,the ABAQUS software platform is developed to simulate the parameters of the ultrasonic cutting tool assembly.(4)For the specific problem of ultrasonic cutting tool structure optimization,the convergence speed of the algorithm is accelerated by modifying the particle swarm optimization algorithm.(5)Based on the support vector regression method,the structural response approximation model is obtained.The optimization objective function is set up to optimize the structure of ultrasonic cutting tool.By using the particle swarm optimization algorithm,the optimal tool structure parameters are obtained,and the optimization results are compared with the results obtained by the finite element method.