Free Access
Issue
Mechanics & Industry
Volume 18, Number 6, 2017
Article Number 605
Number of page(s) 8
DOI https://doi.org/10.1051/meca/2017033
Published online 02 February 2018
  1. R. Kopp, J. Schulz, Flexible sheet forming technology by double-sided simultaneous shot peen forming, J. Manuf. Technol. 51 (2002) 195–198 [CrossRef] [Google Scholar]
  2. D.L. Baughman, An overview of peen forming technology, Pangborn Company, Proc. 2nd Conf. Shot Peening (ICSP2), 1968 [Google Scholar]
  3. E. Mohseni, E. Zalnezhad, A.A.D. Sarhan, A.R. Bushroa, A study on surface modification of Al7075-T6 alloy against fretting fatigue phenomenon, Adv. Mater. Sci. Eng. 2014 (2014) 1–17 [CrossRef] [Google Scholar]
  4. Y.F. Al-Obaid, Shot peeing mechanics: experimental and theoretical analysis, J. Mech. Mater. 19 (1995) 251–260 [CrossRef] [Google Scholar]
  5. S. Bagherifard, R. Ghelichi, M. Guagliano, A numerical model of severe shot peening (SSP) to predict the generation of a nanostructured surface layer of material, J. Surf. Coat. Technol. 204 (2010) 4081–4090 [CrossRef] [Google Scholar]
  6. H.Y. Miao, D. Demers, S. Larose, C. Perron, M. Lévesque, Experimental study of shot peening and stress peen forming, J. Mater. Process. Technol. 210 (2010) 2089–2102 [CrossRef] [Google Scholar]
  7. B. Bhuvaraghan, S.M. Srinivasan, B. Maffeo, R.D. McCLain, Y. Potdar, O. Prakash, Shot peening simulation using discrete and finite element method, J. Adv. Eng. Softw. 41 (2010) 1266–1276 [CrossRef] [Google Scholar]
  8. L. Zhiming. S. Laimin, Z. Shenjin, T. Zhidong, J. Yazhou, Effect of high energy shot peening pressure on the stress corrosion cracking of the weld joint of 304 austenitic stainless steel, J. Mater. Sci. Eng. A 637 (2015) 170–174 [CrossRef] [Google Scholar]
  9. B.L. Sun, Y.J. Wang, J. Y. Xiao, G.Q. Gao, M.J. Qiao, X.D. Xiao, Evaluation of microstructure and properties of induced by shot peening, Procedia Eng. 81 (2014) 1043–1048 [CrossRef] [Google Scholar]
  10. S.A. Meguid, G. Shagal, J.C. Stranart, 3D FE analysis of peening of strain-rate sensitive materials using multiple impingement model, Int. J. Impact Eng. 27 (2002) 119–134 [CrossRef] [Google Scholar]
  11. H.Y. Miao, S. Larose, C. Perron, M. Lévesque, Numerical simulation of the stress peen forming process and experimental validation, J. Adv. Eng. Softw. 42 (2011) 963–975 [CrossRef] [Google Scholar]
  12. R. Seddik, A. Bahloul, A. Atig, R. Fathallah, A simple methodology to optimize shot-peening process parameters using finite element simulations, Int. J. Adv. Manuf. Technol. 90 (2017) 2345–2361 [CrossRef] [Google Scholar]
  13. O. Unal, Optimization of shot peening parameters by response surface methodology, Surf. Coat. Technol. 305 (2016) 99–109 [CrossRef] [Google Scholar]
  14. Y.S. Nam, U. Jeon, H.K. Yoon, B.C. Shin, J.H. Byun, Use of response surface methodology for shot peening process optimization of an aircraft structural part, Int. J. Adv. Manuf. Technol. 87 (2016) 2967–2981 [CrossRef] [Google Scholar]
  15. J. Badreddine, E. Rouhaud, M. Micoulaut, D. Retraint, S. Remy, M. François, P. Viot, G. Doubre-Baboeuf, D.L. Saunier, V. Desfontaine, Simulation and experimental approach for shot velocity evaluation in ultrasonic shot peening, J. Mech. Ind. 12 (2011) 223–229 [Google Scholar]
  16. J.E. Rodriguez-Sanchez, A. Rodriguez-Castellanos, F. Perez-Guerrero, Shot peening effect on fatigue crack repaired weldments, Adv. Mater. Sci. Eng. 2017 (2017) 1–11 [CrossRef] [Google Scholar]
  17. J. Zhang, S. Lu, Z. Zhou, T. Wu, G. Xu, Modeling of multiple shots for analyzing shot peening controlled parameters on formed curvature radius, Int. J. Adv. Manuf. Technol. (2017), doi:10.1007/s00170-017-0629-y [Google Scholar]
  18. R. Shivpuri, X. Cheng, Y. Mao, Elasto-plastic pseudo-dynamic numerical model for the design of shot peening process parameters, Mater. Des. 30 (2009) 3112–3120 [CrossRef] [Google Scholar]
  19. A.I. Khuri, S. Mukhopadhyay, Response surface methodology, Wiley Interdiscip. Rev.: Comput. Stat. 2 (2010) 128–144 [CrossRef] [Google Scholar]
  20. H. Sahai, M.M. Ojeda, Analysis of variance for random models (2004), doi:10.1007/978-0-8176-8168-5 [CrossRef] [Google Scholar]
  21. Design-Expert 7.1 User's Guide, 2007 [Google Scholar]

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