Research On High-speed Cutting Experiment, Simulation And Database Application Of Aviation Titanium Alloy Ti6Al4

Titanium alloy(TC4)is widely used in the aerospace field and is known as a strategic metal material that propels humans into the space age.However,due to its low thermal conductivity,high chemical activity,and small elastic modulus,titanium alloy has become a typical difficult-to-machine material.In the cutting process,the tool and the workpiece material can generate a large temperature difference in different areas,resulting in increased tool wear and difficulty in effectively controlling the surface quality of the workpiece,which makes it challenging to improve the cutting efficiency.High-speed cutting technology can improve the machining quality of most workpiece materials and enhance processing efficiency,but a more in-depth study of its processing mechanism is needed.Research on high-speed cutting experiments and simulation analysis of difficult-to-machine material TC4 can help explore optimal cutting parameters for titanium alloy and form a process database system that meets actual production needs.This article uses numerical modeling and simulation research methods to conduct basic research on the machining process and explore the application of the database in guiding production practice.Experimental data on tool cutting force,surface roughness,and chip morphology were obtained by high-speed cutting of TC4 titanium alloy.A four-factor and three-level orthogonal test was conducted for milling depth,milling width,feed per tooth,and milling speed to analyze the effect of each milling parameter on milling force.During the experiment,the milling force was decomposed into tangential,radial,and axial milling forces.Using multiple linear regression analysis,a model for the three-directional milling force was established and significant tests were performed.The changes in cutting force and surface roughness under different processing parameters were discussed.Experimental results showed that the model had high accuracy and could predict the three-dimensional milling force during milling.By implementing Python language for secondary development,a convenient and fast 3D cutting simulation model was established in Abaqus software,and the research variables were set as the independent variables of the function in the Python script,forming a parameterized3 D cutting simulation modeling platform.By changing key parameters,the research variables can be modified,achieving the goal of rapid parameter modification,modeling,analysis and operation.The simulation model established by this method analyzed the effect of various parameters on the cutting results and was verified using experimental results.A web application based on the HHS framework and B/S architecture was developed,with HTML,CSS,and Java Script used to design and write the front-end interface,Java language for programming the back-end server application,and My SQL database management system for storing and managing cutting data.Various functional modules were developed,including user login,data entry,information inquiry and management,and user customization,providing users with an efficient and practical cutting database system.