Optimization of UHFP-GTAW process based on response surface method

被引：0
作者：
Jia Z. [1 ]
Wan X. [1 ]
Guo D. [1 ]
机构：
[1] Aeronautical Key Laboratory for Welding and Joining Technologies, AVIC Manufacturing Technology Institute, Beijing
来源：
Hanjie Xuebao/Transactions of the China Welding Institution | 2020年 / 41卷 / 06期
关键词：
Additive manufacturing; Mechanical properties; Process optimization; Response surface method; Ultra-high frequency;
D O I：
10.12073/j.hjxb.20190807005
中图分类号：
学科分类号：
摘要：
The ultra-high frequency pulsed gas tungsten arc welding process was optimized by response surface method(RSM). By establishing the functional relation, the regression model of weld bead size on welding current(Ib), wire feed speed(WFS) and travel speed(TS) is obtained, and the reliability of the regression model is verified by variance analysis. The corresponding welding parameters are selected by setting the optimization conditions and the size of weld bead is predicted. The error between the predicted size from the model and the actual size is 5.4% of bead width and 6.6% of bead height, respectively. After the deposition of thin-wall GH4169 superalloy part, the mechanical properties are tested, including the horizontal and vertical tensile properties, the ultimate strength are 1 130.93 MPa and 1 126.04 MPa, respectively, the elongation rate are 18.1% and 16.56%, respectively, the reduction of area are 20.6% and 20.2%, respectively. Copyright © 2020 Transactions of the China Welding Institution. All rights reserved.
引用
收藏
页码：90 / 96
页数：6
相关论文
共 11 条
  • [1] Clark Daniel, Bache Martin R, Whittaker Mark T, Et al., Microstructural characterization of a polycrystalline nickel based superalloy processed via tungsten inert gas shaped metal deposition[J], Metallurgical and Material S Transactions B, 41B, pp. 1346-1353, (2010)
  • [2] Busachia Alessandro, Erkoyuncua John, Colegroveb Paul, Et al., Designing a WAAM based manufacturing system for defence applications, Procedia CIRP, 37, pp. 48-53, (2015)
  • [3] Xiong Jun, Yin Ziqiu, Zhang Weihua, Et al., Closed-loop control of variable layer width for thin-walled parts in wire and arc additive manufacturing, Journal of Materials Processing Technology, 233, (2016)
  • [4] Ding Donghong, Pan Zengxi, Cuiuri Dominic, Et al., A practical path planning methodology for wire and arc additive manufacturing of thin-wall structures[J], Robotics and Computer Integrated Manufacturing, 34, (2015)
  • [5] Ding Donghong, Pan Zengxi, Cuiuri Dominic, Et al., Bead modelling and implementation of adaptive MAT path in wire and arc additive manufacturing[J], Robotics and Computer-Integrated Manufacturing, 39, pp. 32-42, (2016)
  • [6] Ding Donghong, Pan Zengxi, Cuiuri Dominic, Et al., Process planning strategy for wire and arc additive manufacturing, Robotics Welding, Intelligence and Automation, 363, pp. 437-449, (2015)
  • [7] Youheng Fu, Guilan Wang, Zhang Haiou, Et al., Optimization of surface appearance for wire and arc additive manufacturing of Bainite steel[J], Internation Journal of Advanced Manufacture Technology, 91, pp. 301-313, (2017)
  • [8] Haibin Geng, Jiangtao Xiong, Dan Huang, Et al., A prediction model of layer geometric size in wire and arc additive manufacturing using response surface methodology[J], Internation Journal of Advanced Manufacture Technology, 93, pp. 175-186, (2015)
  • [9] Lin W S, Lee B Y, Wu C L., Modeling the surface roughness and cutting force for turning, Materials Process Technology, 108, pp. 286-293, (2001)
  • [10] Li Yulong, Cong Baoqiang, Yang Mingxuan, Et al., Well arrearance of 2219-T87 high strenght aluminum alloy produced by HPVP-GTAW process, Journal of Beijing University of Aeronautics and Astronautics, 40, 5, pp. 712-716, (2014)
12