Arc Voltage Detection and Forming Control for Crossing Parts in GTA Additive Manufacturing

doi:10.3901/JME.2019.15.017

Abstract

Abstract: Based on the correlation between arc voltage and arc length, a method for arc voltage detection and forming control in GTA additive manufacturing is proposed to solve the problems of process instability and serious protrusion at the crossover of depositing path for crossing parts. Considering the influence of interferences, the original voltage signal is filtered by a new de-noising method of anti-impulse interference moving average based on wavelet packet, which can effectively filter out the disturbances in the original signal and ensure the smoothness of the waveform. For a complex and time-variant GTA additive manufacturing system, an integral separation PID controller is designed and its parameters ware adjusted. Depositions with constant wire feed speed and closed-loop control are compared to analyze the forming quality of crossing parts. The results show that arc voltage online detection and closed-loop adjustment of the wire feed speed can effectively increase the process stability and solve the problem of protrusion at the crossover on deposition path for crossing parts in GTA additive manufacturing, and accurate arc voltage detection as well as high control accuracy can be obtained.

Key words: anti-impulse interference moving average filter, crossing parts, GTA additive manufacturing, integral separation PID controller, wavelet packet

CLC Number:

TG156

ZHU Beibei, XIONG Jun. Arc Voltage Detection and Forming Control for Crossing Parts in GTA Additive Manufacturing[J]. Journal of Mechanical Engineering, 2019, 55(15): 17-23.

References

[1] MUGHAL M P,FAWAD H,MUFTI R A. Three-dimensional finite-element modelling of deformation in weld-based rapid prototyping[J]. In:Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2006,220(6):875-885.
[2] de LIMA M S F,SANKARE S. Microstructure and mechanical behavior of laser additive manufactured AISI 316 stainless steel stringers[J]. Materials and Design,2014,55:526-32.
[3] TAMINGER K M B,HAFLEY R A. Characterization of 2219 aluminum alloy produced by electron beam freeform fabrication[C]//Proceedings of 13th SFF Symposium,2002:482-489.
[4] KAZANAS P,DEHERKAR P,ALMEIDA P,et al. Fabrication of geometrical features using wire and arc additive manufacture[J]. Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture,2012,226(B6):1042-1051.
[5] 卢秉恒,李涤尘. 增材制造(3D打印)技术发展[J]. 机械制造与自动化,2013(4):1-4. LU Bingheng,LI Dichen. Development of the additive manufacturing (3D printing) technology[J]. Machine Building & Automation,2013(4):1-4.
[6] 柏久阳,王计辉,林三宝,等. 电弧増材制造厚壁结构焊道间距计算策略[J]. 机械工程学报,2016,52(10):97-102. BAI Jiuyang,WANG Jihui,LIN Sanbao,et al. Model for multi-beads overlapping calculation in GTA-additive manufacturing[J]. Journal of Mechanical Engineering,2016,52(10):97-102.
[7] DING D,PAN Z,CUIURI D,et al. Wire-feed additive manufacturing of metal components:Technologies,developments and future interests[J]. The International Journal of Advanced Manufacturing Technology,2015,81:465-481.
[8] BONACCORSO F,CANTELLI L,MUSCATO G. An arc welding robot control for a shaped metal deposition plant:Modular software interface and sensors[J]. IEEE Transactions on Industrial Electronics,2011,58(8):3126-3132.
[9] 马倩,马树元,刘长猛,等. 典型TC4框类结构TIG电弧增材制造工艺研究[J]. 热加工工艺,2018,47(1):189-194. MA Qian,MAShuyuan,LIU Changmeng,et al. Study on TIG arc additive manufacturing process of typical TC4 frame structure[J]. Hot Working Technology,2018,47(1):189-194.
[10] KARUNAKARAN K P,SURYAKUMAR S,PUSHPA V,et al. Low cost integration of additive and subtractive processes for hybrid layered manufacturing[J]. Robotics and Computer-Integrated Manufacturing,2010,26(5):490-499.
[11] MEHNEN J,DING J,LOCKETT H,et al. Design study for wire and arc additive manufacture[J]. International Journal of Product Development,2014,19(1/2/3),2-20.
[12] SPENCER J D,DICKENS P M,WYKES C M. Rapid prototyping of metal parts by three-dimensional welding[J]. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture,1998,212(3):175-182.
[13] XIONG J,ZHANG G. Online measurement of bead geometry in GMAW-based additive manufacturing using passive vision[J]. Measurement Science & Technology,2013,24(11):5103.
[14] WANG H,JIANG W,OUYANG J,et al. Rapid prototyping of 4043 Al-alloy parts by VP-GTAW[J]. Journal of Materials Processing Technology,2004,148(1):93-102.
[15] XU Y,LV N,ZHONG J,et al. Research on the real-time tracking information of three-dimension welding seam in robotic GTAW process based on composite sensor technology[J]. Journal of Intelligent & Robotic Systems,2012,68(2):89-103.
[16] YANG D,WANG G,ZHANG G. Thermal analysis for single-pass multi-layer GMAW based additive manufacturing using infrared thermography[J]. Journal of Materials Processing Technology,2017,244:215-224.
[17] XIONG J,ZHANG G. Adaptive control of deposited height in GMAW-based layer additive manufacturing[J]. Journal of Materials Processing Tech.,2014,214(4):962-968.
[18] 王其隆. 弧焊过程质量实时传感与控制[M]. 北京:机械工业出版社,2000. WANG Qilong. Real-time sensing and control of arc welding process quality[M]. Beijing:China Machine Press,2000.
[19] WALCZAK B,MASSART D L. Noise suppression and signal compression using the wavelet packet transform[J]. Chemometrics & Intelligent Laboratory Systems,1997,36(2):81-94.
[20] 程正兴. 小波分析算法与应用[M]. 西安:西安交通大学,2004. CHENG Zhengxing. Wavelet analysis algorithm and application[M]. Xi'an:Xi'an Jiaotong University,2004.