Surface Integrity and Cutting Parameters Optimization in Machining of New Titanium Alloys
|School||Nanjing University of Aeronautics and Astronautics|
|Course||Mechanical Manufacturing and Automation|
|Keywords||Titanium alloy Turning High Speed ??Milling Surface integrity Parameter optimization|
Titanium alloy, although widely used but it is a kind of difficult to machine materials , how to improve the cutting quality and processing efficiency has been an urgent need to solve the problem in the manufacturing technology of the aerospace industry and other industries . In this paper, a factory recently developed a new type of titanium alloy TC21 , TC4 study , a more in-depth study of its cutting surface integrity and optimization of cutting parameters , the completed work and the research results obtained are summarized as follows : 1. through the new titanium turning experiments , analysis of the cutting parameters , tool geometry , tool wear on surface roughness ; summed up cutting the amount of surface microstructure and work hardening . The study results show that the new titanium turning choose the right tool geometry , tool blunt standard easy access to the lower surface roughness ; cutting the amount of feed on the surface roughness of the greatest impact , cutting speed and depth of cut of the roughness no significant impact ; the new titanium turning hardening and hardening layer depth . New titanium high - speed milling experiments to analyze the amount of cutting tool wear on surface roughness of the impact of the law , given the choice of milling parameters principle ; analysis of high-speed milling titanium alloy surface morphology ; process parameters work hardening law ; access to cutting the amount of tool wear on surface residual stresses were investigated . The obtained results show that the high - speed milling of the new titanium low residual stress, and low surface roughness value and a smaller degree of hardening of the machined surface . In response to the high-speed milling of titanium alloys as the objective function to maximum material removal rate and a minimum surface roughness , machine tools , cutting tools , technology and other factors limit for the constraints of the cutting parameters optimization model , based on experimental data, high-speed milling cutting forces , residual stresses, surface roughness formula . The genetic algorithm has been optimized for high-speed milling titanium alloy TC4 B-1 cutting parameters . The experimental validation results show that the optimization parameters cutting machining surface roughness , the feed direction of the force components and cutting width direction contribute experimental value is in good agreement with the theoretical value , and a significant increase in processing efficiency .