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Effect of temperature field on flashes formation of continuous drive friction welding

Effect of temperature field on flashes formation of continuous drive friction welding
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摘要 On basis of the finite element software DEFORM, the 2D coupled thermo-mechanical model of continuous drive friction welding of ring parts is established. The temperature and the flashes during the welding process are investigated. The results of numerical simulation show that the temperature of friction surface is higher than that of other region and the peak temperature increases with the increase of welding time. During the process of friction stage, no flash appears because of the low temperature and the small axial friction pressure. At the forging stage, the flashes appear, whose dimensions and bending degree increase with the increase of welding temperature. Moreover, with the increase of rotational velocity and axial forging pressure, the dimensions and the bending degree of flashes of continuous drive friction welding increase. On basis of the finite element software DEFORM, the 2D coupled thermo-mechanical model of continuous drive friction welding of ring parts is established. The temperature and the flashes during the welding process are investigated. The results of numerical simulation show that the temperature of friction surface is higher than that of other region and the peak temperature increases with the increase of welding time. During the process of friction stage, no flash appears because of the low temperature and the small axial friction pressure. At the forging stage, the flashes appear, whose dimensions and bending degree increase with the increase of welding temperature. Moreover, with the increase of rotational velocity and axial forging pressure, the dimensions and the bending degree of flashes of continuous drive friction welding increase.
出处 《China Welding》 EI CAS 2013年第3期46-50,共5页 中国焊接(英文版)
基金 Acknowledgement This work is supported by the National Natural Science Foundation of China (No. 51204111 ) and the Education Department Foun- dation of Liaoning Province (No. L2012047).
关键词 continuous drive friction welding temperature FLASHES numerical simulation continuous drive friction welding, temperature, flashes, numerical simulation
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  • 1LIU H J, FUJII H, MAEDAA M, NOGI K. Tensile properties and fracture locations of friction-stir-welded joints of 2017-T351 aluminum alloy [J]. Journal of Materials Processing Technology, 2003, 142: 692-696.
  • 2LAKSHMINARAYANAN A K, BALASUBRAMANIAN V, ELANGOVAN K. Effect of welding processes on tensile properties of AA6061 aluminium alloy joints [J]. International Journal of Advanced Manufacturing Technology, 2008 (Available online). DOI: 10.1007/s00170-007-1325-0.
  • 3GRUM J, SLABE J M. The use of factorial design and response surface methodology for fast determination of optimal heat treatment conditions of different Ni-Co-Mo surfaced layers [J]. Journal of Materials Processing Technology, 2004, 155:2026 2032.
  • 4GUNARAJ V, MURUGAN N. Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes [J]. Journal of Material Processing Technology, 1999, 88: 266-275.
  • 5MANONMANI K, MURUGAN N, BUVANASEKARAN G. Effect of process parameters on the weld bead geometry of laser beam welded stainless steel sheets [J]. Int J Joining Mater, 2005, 17(4): 103-109.
  • 6BALASUBRAMANIAN M, JAYABALAN V, BALASUBRAMANIAN V. Developing mathematical models to predict tensile properties of pulsed current gas tungsten arc welded Ti-6Al-4V alloy [J]. Materials and Design, 2008, 29(1): 92-97.
  • 7PALANI P K, MURUGAN N. Optimization of weld bead geometry for stainless steel claddings deposited by FCAW [J]. Journal of Materials Processing Technology, 2007, 190:291-299.
  • 8DUTTA E PRATIHAR D K. Modeling of TIG welding process using conventional regression analysis and neural network-based approaches [J]. Journal of Materials Processing Technology, 2007, 184: 56-68.
  • 9ATES H. Prediction of gas metal arc welding parameters based on artificial neural networks [J]. Materials and Design, 2007, 28: 2015 2023.
  • 10OKUYUCU H, KURT A, ARCAKLIOGLU E. Artificial neural network application to the friction stir welding of aluminum plates [J]. Materials and Design, 2007, 28(1): 78-84.

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