| dc.description.abstract | In this study, the design of experiments is used to conduct experiments on different process parameters of the M1.2 forming tap. The aluminum alloy AL7075-T651 is used as the material to conduct the tapping experiment, of which the data were employed for analysis of processing optimization at the same time. The torque and thrust force in the tapping process are measured by a dynamometer. The signal is amplified by a charge amplifier and converted into a voltage signal at the same time. After amplifying, the signal is inputted to a computer. The results of the experiment are monitored and saved by the brain-machine interface code which was coded by Labview. When the setting of the experiment is completed, we are trying to figure out the effect of the process parameters such as lower aperture, the speed of the rotation, and the concentration of the lubrication on the filled rate and torque. The test pieces are ground to the center surface of the threaded hole by a metallographic grinder. The images of the thread profile are taken by an optical microscope contour, which was used to binarize with ImageJ for calculating the area of the thread profile. After that, the filled rate can be calculated. The central composite design (CCD) method, a type of second-order response surface methodology, is used in the experiment. Analysis of variance (ANOVA) based on the experimental results established the regression equation of torque and thread fill rate by using Minitab software. According to the effects of factors on process parameters, figure out the optimal design to increase thread fill rate, and reduce torque in the tapping process. Furthermore, the optimized result is validated by the experiments, it shows that the analysis model has certain accuracy on the internal thread process. The optimized result can make the tapping process more efficient. | en_US |