Abstract:
Titanium was discovered by German scientist Klaproth in his study. The titanium element is the mineral with the total reserves about 1400 million tons, which is ranked only after Al, Fe and Mg on the earth. With high activity, Titanium mainly alloys into TiO2 and FeTiO2 rather than exists pure Ti metal. As the titanium alloy is widely applied in the industry, so the requirements on the product quality and machining speed are stricter. With advantages and features such as high specific strength (tensile strength/density), corrosion resistance, low modulus of elasticity, high heat resistance, high performance under low temperature, high biotical compatibility, low thermal conductivity, colorful oxide film, non-magnet city, and etc., the alloy machining usually encounters many problems, such as surface roughness, machining efficiency, fast wear on cutter, strong adherence between the material and the cutter, and etc. Therefore, through the concept of multiplex machining, the plasma welding machine and the CNC machine are integrated to improve the machining problems. When using the assisted machining, one must understand that the variables show great influence on the temperature. The study applies regression analysis for experimental screening and experimental optimization, so as to build the optimal value of the regression equation, Current and feeding rate for the significant factor, the effect of the current and the feeding rate directly conforms to the linear relationship.
|