Research On Efficient Milling Processing Technology Of Some Titanium Frame Part

Titanium alloy, charactorized with low specific gravity, high strengh, heatresistance and corrosion resistance, has been widely used in aerospace field. However,titanium alloy is also one of the most difficult materials to process. Material propertiesof titanium alloy determine its poor machinability, long processing cycle and difficultyto guarante the processing quality. There is a large impact on the cutting tools in themanufacturing process of titanium alloy, so it will lead to the the problems of wear andtear of the cutting tool and deformation in machining. Therefore, titanium alloy has alower processing efficiency. By analyzing the milling problem of the frame parts madeby titanium alloy, the research about high efficiency milling technology has been carriedout in this paper to improve the processing efficiency of titanium frame parts.Firstly, by analyzing the characteristics of frame parts made by titanium alloy andthe present processing methods, the technical problems which come up with the efficentprocessing can be summed up. In order to accomplish the high efficiency millingtechnology, research of titanium frame parts, the technological process of milling andmilling parameters needs to be optimized to improve the milling efficiency.The new efficient processing scheme for titanium frame parts cutting is proposedin this paper, and the process is optimized. The cutting methods are analyzed from thetool wear and efficiency in rough working. The corner treatment is added to the processaccording to the inner figure characters of the frame parts.To increase the processing efficiency, the metal removal rate and tool changingtimes are considered for efficiency assessment after process optimization. Then, theoptimization model is built and solved by GA algorithm.Finally, proposed process and machining parameters are simulated and verifiedwith CATIA and VERICUT software. Practical machining experiments are carried outto test the processing efficiency are conducted to verify the optimization job.