COMPOSITION AND PROPERTY OPTIMIZATION FOR TC4 Ti ALLOY

The optimization study of the compositions and properties of TC4 alloy has been conducted by using KCYH pattern recognition optimization dedicated system. Taking 92 groups of the production tesing data as the primary samples, the influence of Ti, Al, V, Fe, N H, O, C in the TC4 on 3 target values, i.e. tensil strength, yield strength and elongation has been quantitatively analysed. Based on the principle of the Pattern Recognition and other related analysing techniques, the tag extract and variable screen on the 92 groups of data have carried out to seek the optimum design area. Although these groups of data did affect the determination of the optimum area for lack of processing parameters or stability in the production procedure, by various means of the Pattern Recognition, the optimum design area for some no basic elements and the properties, which are under the national standard, has been obtained: 5.95