Wire arc additive manufacturing (WAAM) has been investigated to deposit large-scale metal parts due to its high deposition efficiency and low material cost. However, in the process of automatically manufacturing the high-quality metal parts by WAAM, several problems about the heat build-up, the deposit-path optimization, and the stability of the process parameters need to be well addressed. To overcome these issues, a new WAAM method based on the double electrode micro plasma arc welding (DE-MPAW) was designed. The circuit principles of different metal-transfer models in the DE-MPAW deposition process were analyzed theoretically. The effects between the parameters, wire feed rate and torch stand-off distance, in the process of WAAM were investigated experimentally. In addition, a real-time DE-MPAW control system was developed to optimize and stabilize the deposition process by self-adaptively changing the wire feed rate and torch stand-off distance. Finally, a series of tests were performed to evaluate the control system's performance. The results show that the capability against interferences in the process of WAAM has been enhanced by this self-adaptive adjustment system. Further, the deposition paths about the metal part's layer heights in WAAM are simplified. Finally, the appearance of the WAAM-deposited metal layers is also improved with the use of the control system.
Wire arc additive manufacturing (WAAM) has been investigated to deposit large-scale metal parts due to its high deposition efficiency and low material cost. However, in the process of automatically manufacturing the high-quality metal parts by WAAM, several problems about the heat build-up, the deposit-path optimization, and the stability of the process parameters need to be well addressed. To overcome these issues, a new WAAM method based on the double electrode micro plasma arc welding (DE-MPAW) was designed. The circuit principles of different metal-transfer models in the DE-MPAW deposition process were analyzed theoretically. The effects between the parameters, wire feed rate and torch stand-off distance, in the process of WAAM were investigated experimentally. In addition, a real-time DE-MPAW control system was developed to optimize and stabilize the deposition process by self-adaptively changing the wire feed rate and torch stand-off distance. Finally, a series of tests were performed to evaluate the control system's performance. The results show that the capability against interferences in the process of WAAM has been enhanced by this self-adaptive adjustment system. Further, the deposition paths about the metal part's layer heights in WAAM are simplified. Finally, the appearance of the WAAM-deposited metal layers is also improved with the use of the control system.
[1] K V Wong, A Hernandez. A review of additive manufacturing. ISRN Mechanical Engineering, 2012(2): 30-38.
[2] D Ding, Z Pan, D Cuiuri, et al. Wire-feed additive manufacturing of metal components: technologies, developments and future interests. International Journal of Advanced Manufacturing Technology, 2015, 81: 465-481.
[3] S W Williams, F Martina, A C Addison, et al. Wire + arc additive manufacturing. Materials Science & Technology, 2016, 32(7): 641-647.
[4] IvánTabernero, A Paskual, P Ã?lvarez, et al. Study on arc welding processes for high deposition rate additive manufacturing. Procedia CIRP, 2018, 68: 358-362.
[5] D Ding, Z Pan, D S Van, et al. Fabricating superior NiAl bronze components through wire arc additive manufacturing. Materials, 2016, 9(8): 652-664.
[6] J D Spencer, P M Dickens, C M Wykes. Rapid prototyping of metal parts by three-dimensional welding. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 1998, 212(3): 175-182.
[7] D Yang, G Wang, G Zhang. Thermal analysis for single-pass multi-layer GMAW based additive manufacturing using infrared thermography. Journal of Materials Processing Technology, 2017, 244: 215-224.
[8] X Chen, J Li, Z Huang, et al. Microstructure and mechanical properties of the austenitic stainless steel 316L fabricated by gas metal arc additive manufacturing. Materials Science & Engineering A, 2017, 703: 567-577.
[9] F Martina, J Mehnen, S W Williams, et al. Investigation of the benefits of plasma deposition for the additive layer manufacture of Ti-6Al-4V. Journal of Materials Processing Technology, 2012, 212(6): 1377-1386.
[10] S Jhavar, N K Jain, C P Paul. Development of micro-plasma transferred arc (μ-PTA) wire deposition process for additive layer manufacturing applications. Journal of Materials Processing Tech., 2014, 214(5): 1102-1110.
[11] E M Qureshi, A M Malik, N U Dar. Thermo-mechanical analysis of residual stresses in arc welded thin-walled cylinders. Proceedings of the 16th International Conference on Nuclear Engineering, Florida, USA, May 11-15, 2008: 139-147.
[12] J Ding, P Colegrove, J Mehnen, et al. Thermo-mechanical analysis of wire and arc additive layer manufacturing process on large multi-layer parts. Computational Materials Science, 2011, 50(12): 3315-3322.
[13] D Ding, Z Pan, D Cuiuri, et al. A tool-path generation strategy for wire and arc additive manufacturing. International Journal of Advanced Manufacturing Technology, 2014, 73(4): 173-183.
[14] R Liu, Z Wang, Y Zhang, et al. A smooth toolpath generation method for laser metal deposition. Proceedings of the 27th Annual International Solid Freeform Fabrication Symposium, Texas, USA, August 7-9, 2016: 1038-1046.
[15] O H Petersen, D Burdakov, A V Tepikin. Process control and development in wire and arc additive manufacturing. Cranfield University, 2012, 30(3): 218-226.
[16] B Wu, D Ding, Z Pan, et al. Effects of heat accumulation on the arc characteristics and metal transfer behavior in Wire Arc Additive Manufacturing of Ti6Al4V. Journal of Materials Processing Technology, 2017, 250: 304-312.
[17] X Bai, P Colegrove, J Ding, et al. Numerical analysis of heat transfer and fluid flow in multilayer deposition of PAW-based wire and arc additive manufacturing. International Journal of Heat & Mass Transfer, 2018, 124: 504-516.
[18] N Kumar, P K Jain, P Tandon, et al. Toolpath generation for additive manufacturing using CNC milling machine. 3D Printing and Additive Manufacturing Technologies, 2018: 73-82. https://doi.org/10.1007/978-981-13-0305-0_7.
[19] D Ding, Z Pan, D Cuiuri, et al. A practical path planning methodology for wire and arc additive manufacturing of thin-walled structures. Robotics & Computer Integrated Manufacturing, 2015, 34: 8-19.
[20] G Venturini, F Montevecchi, F Bandini, et al. Feature based three axes computer aided manufacturing software for wire arc additive manufacturing dedicated to thin walled components. Additive Manufacturing, 2018, 22: 643-657.
[21] J Xiong, G Zhang. Adaptive control of deposited height in GMAW-based layer additive manufacturing. Journal of Materials Processing Technology, 2014, 214(4): 962-968.
[22] H Dong, M Cong, Y Zhang, et al. Modeling and real-time prediction for complex welding process based on weld pool. International Journal of Advanced Manufacturing Technology, 2018, 96(5): 2495-2508.
[23] F Li, S Chen, Z Wu, et al. Adaptive process control of wire and arc additive manufacturing for fabricating complex-shaped components. International Journal of Advanced Manufacturing Technology, 2018, 96(2): 1-9.
[24] Z Pan, D Ding, B Wu, et al. Arc welding processes for additive manufacturing: A review. Transactions on Intelligent Welding Manufacturing, 2017, 5(1): 3-24.
[25] W Gao, Y Zhang, D Ramanujan, et al. The status, challenges, and future of additive manufacturing in engineering. Computer-Aided Design, 2015, 69: 65-89.
[26] B Lu, W Zhao, Y Tang, et al. Investigation of the overlapping parameters of MPAW-based rapid prototyping. Rapid Prototyping Journal, 2006, 12(3): 165-172.
[27] Y Lu, S J Chen, Y Shi, et al. Double-electrode arc welding process: Principle, variants, control and developments. Journal of Manufacturing Processes, 2014, 16(1): 93-108.
[28] K Li, Y M Zhang. Modeling and control of consumable double-electrode gas metal arc welding proceeding. Proceedings of the 17th International Federation of Automatic Control World Congress, Seoul, Korea, July 6-7, 2008: 994-999.
