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Journal of Mechanical Science and Technology

, Volume 32, Issue 12, pp 5855–5862 | Cite as

Numerical analysis of distortions by using an incorporated model for welding-heating-cutting processes of a welded lifting lug

  • Chao Wang
  • Jae-Woong KimEmail author
Article
  • 19 Downloads

Abstract

A lifting lug is a widely used welded structure in the shipbuilding industry. Welded lugs with holes that are attached to heavy blocks are hooked onto and transported by a crane. The lugs are cut away after the heavy blocks are set up at the right position. In this study, a new thermal compensation method was proposed to improve the productivity of removing a lifting lug by band saw cutting. A lifting lug employs a welding process, a heat treatment process, and a cutting process, and thus a coupled 3D finite element model was developed to investigate the distortion and residual stress redistribution during the three processes. The results of the numerical and the experimental studies indicated that the thermal compensation method was effective in improving the productivity of removing the lifting lug. The numerical simulation ensured that the mechanism and influence of various local heating conditions were well illustrated and discussed. It is expected that the coupled finite element model developed in this study can solve practical problems of industrial production.

Keywords

Band saw cutting Lifting lug Thermal heating effect Distortion redistribution Residual stress redistribution 

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References

  1. [1]
    Z. Wang, W. Chen, Y. Zhang, Z. Chen and Q. Liu, Study on the machining distortion of thin–walled part caused by redistribution of residual stress, Chinese J. Aeronaut., 18 (2) (2005) 175–179.CrossRefGoogle Scholar
  2. [2]
    D. Venkatkumar and D. Ravindran, 3D finite element simulation of temperature distribution, residual stress and distortion on 304 stainless steel plates using GTA welding, J. Mech. Sci. Technol., 30 (1) (2016) 67–76.CrossRefGoogle Scholar
  3. [3]
    S.–M. Joo, Y.–G. Kim and ·S.–M. Jeong, Experimental investigation of in–process mitigation of welding distortion for stainless steel plate using air–atomized mist cooling, J. Mech. Sci. Technol., 31 (9) (2017) 4419–4423.CrossRefGoogle Scholar
  4. [4]
    D. Deng, W. Liang and H. Murakawa, Determination of welding deformation in fillet–welded joint by means of numerical simulation and comparison with experimental measurements, J. Mater. Process. Technol., 183 (2–3) (2007) 219–225.CrossRefGoogle Scholar
  5. [5]
    M. E. Merchant, Mechanics of the metal cutting process. II. Plasticity conditions in orthogonal cutting, J. Appl. Phys., 16 (6) (1945) 318–324.CrossRefGoogle Scholar
  6. [6]
    C. Wang and J. W. Kim, A study on the compensation of secondary distortion effect in the cutting process of a welded structure, J. Mech. Sci. Technol., 31 (8) (2017) 3935–3941.CrossRefGoogle Scholar
  7. [7]
    A. R. Kohandehghan and S. Serajzadeh, Arc welding induced residual stress in butt–joints of thin plates under constraints, J. Manuf. Process., 13 (2) (2011) 96–103.CrossRefGoogle Scholar
  8. [8]
    M. Perić, Z. Tonković, I. Garašić and T. Vuherer, An engineering approach for a T–joint fillet welding simulation using simplified material properties, Ocean Eng., 128 (2016) 13–21.CrossRefGoogle Scholar
  9. [9]
    C. Wang, Y. R. Kim and J. W. Kim, Comparison of FE models to predict the welding distortion in T–joint gas metal arc welding process, Int. J. Precis. Eng. Manuf., 15 (8) (2014) 1631–1637.CrossRefGoogle Scholar
  10. [10]
    M. Zubairuddin, S. K. Albert, M. Vasudevan, S. Mahadevan, V. Chaudhari and V. K. Suri, Numerical simulation of multi–pass GTA welding of grade 91 steel, J. Manuf. Process., 27 (2017) 87–97.CrossRefGoogle Scholar
  11. [11]
    S. Qingyu, L. Anli, Z. Haiyan and W. Aiping, Development and application of the adaptive mesh technique in the three–dimensional numerical simulation of the welding process, J. Mater. Process. Technol., 121 (2–3) (2002) 167–172.CrossRefGoogle Scholar
  12. [12]
    A. Ravisankar, S. K. Velaga, G. Rajput and S. Venugopal, Influence of welding speed and power on residual stress during gas tungsten arc welding (GTAW) of thin sections with constant heat input: A study using numerical simulation and experimental validation, J. Manuf. Process., 16 (2) (2014) 200–211.CrossRefGoogle Scholar

Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Mechanical EngineeringChangshu Institute of TechnologyChangshuChina
  2. 2.School of Mechanical EngineeringYeungnam UniversityGyeongsan, GyeongbukKorea

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