Detection and control of the morphology of TIG-metal fused coating additive manufacturing

Metal fused-coating additive manufacturing composite variable polarity tungsten inert gas (MFCAM & TIG) has the advantages of low cost and high efficiency. Aiming at the difficulty of extracting dimensional information under the arc, a laser band-pass composite filter sensing system is designed according to the intensity and spectral distribution characteristics of arc radiation in the manufacturing process. Aiming at the problem of precision control of forming parts, a fuzzy PID iterative learning strategy is proposed. The results show that the monitoring accuracy of the characteristic size of the deposition layer under the laser-assisted light source is 90.71 %. The error of the control system is less than 0.4 mm and the correction time is less than 3 s. The proposed control strategy improves the control accuracy and convergence speed, and the stable forming specimens by MFCAM & TIG are realized accurately.