Titanium alloy numerical control milling process parameter optimization method based on process test data model

The invention provides a titanium alloy numerical control milling process parameter optimization method based on a process test data model. The method comprises the following steps that 1, a numericalcontrol milling process test for a titanium alloy material is designed, and the cutting force and the service life of a cutting tool under different process parameters are measured; 2, a mathematicalmodel of the relationship of the cutting force, the durability of the cutting tool and the process parameters is obtained by means of a test data processing method based on a multiple regression model; 3, an optimization model for the numerical control milling process parameters of the titanium alloy material is established; 4, an optimization system for the numerical control milling process parameters of the titanium alloy material is achieved; 5, the effects before and after optimization are analyzed. The method has the advantages that by combining tests with theories, the method for optimizing the numerical control