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Prediction of residual stress regeneration in multi-pass milling

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Abstract

Machining-induced residual stress is important for the part performance. In the literature, various predictive models have been proposed for residual stress in one-pass machining without considering the multi-pass aspect. This study describes the regeneration of residual stress in multi-pass machining with thermo-mechanical loadings, in the full elasto-plastic state, captured using the Neumann-Duhamel principle. The residual stress is then analysed satisfying elastic-plastic relaxation in-between layers and at the boundaries. Large experimental data in milling of AA2121-T3 agreed well with model predictions, thus supporting the consideration of initial stress functions, materials cyclic plasticity and compatibility to allow for residual stress prediction in multi-pass machining.

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References

  1. Brinksmeier E, Cammett JT, Konig W, Leskovar P, Peters J, Tonshoff HK (1982) Residual stresses-measurement and causes in machining processes. CIRP Ann 31:491–510

    Article  Google Scholar 

  2. Outeiro JC, M'Saoubi R, Jayal AD, Umbrello D (2010) A numerical model incorporating the microstructure alteration for predicting residual stresses in hard machining of AISI 52100 steel. CIRP Ann 59:113–116

    Article  Google Scholar 

  3. M’Saoubi R, Outeiro JC, Changeux B, Lebrun JL, Morão Dias A (1999) Residual stress analysis in orthogonal machining of standard and resulfurized AISI 316L steels. J Mater Process Technol 96:225–233

    Article  Google Scholar 

  4. Jawahir IS, Brinksmeier E, M'Saoubi R, Aspinwall DK, Outeiro JC, Meyer D, Umbrello D, Jayal AD (2011) Surface integrity in material removal processes: recent advances. CIRP Ann Manuf Technol 60:603–626

    Article  Google Scholar 

  5. Lazoglu I, Ulutan D, Alaca BE, Engin S (2008) An enhanced analytical model for residual stress prediction in machining. CIRP Ann Manuf Technol 57:81–84

    Article  Google Scholar 

  6. Su JC, Liang SY (2007) Residual stress modelling in orthogonal machining. CIRP Ann Manuf Technol 56:65–68

    Article  Google Scholar 

  7. Fergani O, Lazoglu I, Mkaddem A, El Mansori M, Liang SY (2014) Analytical modelling of residual stress and the induced deflection of a milled thin plate. Int J Adv Manuf Technol 75:455–463

    Article  Google Scholar 

  8. Salvatore F, Hamdi H, Dehmani H (2013) Numerical study of residual stress induced by multi-steps orthogonal cutting, in Procedia. CIRP 299–304

  9. Sasahara H, Obikawa T, Shirakashi T (1996) FEM analysis on cutting sequence effect on mechanical characteristics on machined layer. J Mater Process Technol 62:448–453

    Article  Google Scholar 

  10. McDowell DL (1997) An approximate algorithm for elastic–plastic two-dimensional rolling/sliding contact. Wear 211:237–246

    Article  Google Scholar 

  11. Fergani O, Shao Y, Lazoglu I, Liang SY (2014) Temperature effects on grinding residual stress, in Procedia. CIRP 2–6

  12. Timoshenko SP, Goodier JN Theory of elasticity. New York McGraw-Hill - Engineering societies monographs

  13. Sadik S, Yavari A (2015) Geometric nonlinear thermoelasticity and the time evolution of thermal stresses, to appear in Mathematics and Mechanics of Solids

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Correspondence to Omar Fergani.

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Fergani, O., Jiang, X., Shao, Y. et al. Prediction of residual stress regeneration in multi-pass milling. Int J Adv Manuf Technol 83, 1153–1160 (2016). https://doi.org/10.1007/s00170-015-7464-9

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  • DOI: https://doi.org/10.1007/s00170-015-7464-9

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