Experimental Study On 15-5PH Stainless Steel Cutting For Civil Engineering Large - Scale Cutting Parameters Database System

15-5PH stainless steel has excellent mechanical properties and corrosion resistance. And it is the main material of the force bearing structure of military and C919 large civil aircraft. However, good mechanical properties of this material also lead to high cutting temperature and serious work hardening in the machining process. Meantime, foreign technical blockade means that less valuable papers are available because the material is mainly dependent on imports. In order to improve the processing quality and increase the processing efficiency, study on the construction of large civil aircraft cutting database with independent intellectual property rights is urgent to carry out.The key problems of large civil aircraft cutting database construction contains the system design, cutting result prediction and cutting parameter optimization are researched, and the work conducted in this paper is as follows:Firstly, according to requirement analysis, integral structure design of the cutting database system is put forward, including the system design, the system flow design and the system function design. Finally, the framework of the cutting database system for large civil aircraft is built.Secondly, through orthogonal experimental design, the cutting experiment of 15-5PH stainless steel is conducted. According to the experimental results, analysis of the influence tendency and degree of cutting parameters on the cutting results (the hole diameter deviation, the surface roughness and the lateral cutting force of the inner fillet, the surface roughness of the side wall) is obtained. It will provide basic experimental data support for the construction of large civil aircraft cutting database.Thirdly, based on the experimental results obtained from the cutting experiment, the prediction algorithm is selected to construct the index prediction model for hole diameter which is variable for the spindle speed, the feedrate and the hole depth. Besides, the surface roughness and the lateral cutting force of the inner fillet as well as the surface roughness of the side wall prediction models are built which are variable for the spindle speed, the feed per tooth, the axial cutting depth and the radial cutting depth. These prediction models provide the necessary conditions for the cutting result prediction module.Lastly, the cutting parameters optimization mathematical models are obtained by taking the maximum cutting efficiency as objective function, the cutting results (the hole diameter deviation, the surface roughness and the lateral cutting force of the inner fillet, the surface roughness of the side wall) and the cutting parameters as the constraint conditions. And the penalty function method is used to construct the cutting parameter optimization mathematical model. In addition, the cutting parameters are optimized by genetic algorithm and particle swarm optimization algorithm, and the accuracy and rationality of the optimization method are verified by experiments. It will provide technical support for the cutting parameter optimization module, which is the core function of cutting database system.