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A new methodology to establish the relationship between equivalent shot velocity and air pressure by surface roughness for shot peening

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Abstract

The study of shot peening process by numerical simulation is becoming mature and efficient. Shot velocity is very important, which is related to the accuracy of simulation results. However, the actual shot peening process was directly controlled by air pressure and other parameters, instead of shot velocity. This paper details a new method to obtain the equivalent shot velocity as initial velocity used in simulation corresponding to air pressure in the actual shot peening. Firstly, under the same shot peening parameters, the linear relationship between the roughness and air pressure, and the linear relationship between the roughness and equivalent shot velocity were obtained by experiment and simulation, respectively. Secondly, the relationship between equivalent shot velocity and air pressure is established by the intermediate surface roughness. At last, the validity and reliability of the relationship be verified by arc height, residual stresses, coverage, and existing literature. In addition, this paper introduces a new method to calculate the number of shots used in combined discrete element model (DEM) and finite element model (FEM), taking into account the mass flow, nozzle movement speed and nozzle-workpiece distance, and other parameters. In this way, it is of significance to characterize the shot peening equipment rapidly and obtain the equivalent shot velocity used in the simulation to optimize the shot peening parameters in the aerospace and automotive industry.

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References

  1. Miao HY, Demers D, Larose S, Perron C, Lévesque M (2010) Experimental study of shot peening and stress peen forming. J Mater Process Technol 210(15):2089–2102

    Article  Google Scholar 

  2. Hu Y, Zhang W, Jiang W, Cao L, Shen Y, Li H, Guan Z, Tao J, Xu J (2016) Effects of exposure time and intensity on the shot peen forming characteristics of Ti/CFRP laminates. Compos A: Appl Sci Manuf 91:96–104

    Article  Google Scholar 

  3. Jebahi M, Gakwaya A, Lévesque J, Mechri O, Ba K (2016) Robust methodology to simulate real shot peening process using discrete-continuum coupling method. Int J Mech Sci 107:21–33

    Article  Google Scholar 

  4. Miao HY, Larose S, Perron C, Lévesque M (2010) An analytical approach to relate shot peening parameters to Almen intensity. Surf Coat Technol 205(7):2055–2066

    Article  Google Scholar 

  5. Zhang XJ, Wang T, Wang JB, Liu C (2017) Analytical modeling of shot peen forming process using cross-sectional linear indentation coverage method. Int J Mech Sci 133:838–845

    Article  Google Scholar 

  6. Klemenz M, Schulze V, Rohr L, Löhe D (2009) Application of the FEM for the prediction of the surface layer characteristics after shot peening. J Mater Process Technol 209:4093–4102

    Article  Google Scholar 

  7. Bill B, Kevin Y (2005) Particle veloctity sensor for improving shot peening process control. Technological Aspects 385:2005114

    Google Scholar 

  8. Mylonas GI, Labeas G (2011) Numerical modelling of shot peening process and corresponding products: residual stress, surface roughness and cold work prediction. Surf Coat Technol 205(19):4480–4494

    Article  Google Scholar 

  9. Gariépy A, Miao HY, Lévesque M (2017) Simulation of the shot peening process with variable shot diameters and impacting velocities. Adv Eng Softw 114:121–133

    Article  Google Scholar 

  10. Tu F, Delbergue D, Miao H, Klotz T, Brochu M, Bocher P, Levesque M (2017) A sequential DEM-FEM coupling method for shot peening simulation. Surf Coat Technol 319:200–212

    Article  Google Scholar 

  11. Hong T, Ooi JY, Shaw B (2008) A numerical simulation to relate the shot peening parameters to the induced residual stresses. Eng Fail Anal 15(8):1097–1110

    Article  Google Scholar 

  12. Nordin E, Alfredsson B (2016) Measuring shot peening media velocity by indent size comparison. J Mater Process Technol 235:143–148

    Article  Google Scholar 

  13. Liu ZY, Guo YB, Huang CZ (2016) Kinematic modeling and deformation mechanics in shot peening of functional ceramics. Procedia Manuf 5:508–520

    Article  Google Scholar 

  14. Miao H, Mendez Romero JA, Forgues S, Lévesque M (2020) Experimental and numerical study of pneumatic needle peening effects on aluminium alloy 2024-T3. J Mater Process Technol 275:116370

    Article  Google Scholar 

  15. Bagherifard S, Ghelichi R, Guagliano M (2012) Numerical and experimental analysis of surface roughness generated by shot peening. Appl Surf Sci 258(18):6831–6840

    Article  Google Scholar 

  16. Liu YG, Li MQ, Liu HJ (2017) Nanostructure and surface roughness in the processed surface layer of Ti-6Al-4V via shot peening. Mater Charact 123:83–90

    Article  Google Scholar 

  17. Taro M, Chaise T, Nélias D (2015) A methodology to predict the roughness of shot peened surfaces. J Mater Process Technol 217:65–76

    Article  Google Scholar 

  18. Lin Q, Liu H, Zhu C, Parker R (2019) Investigation on the effect of shot peening coverage on the surface integrity. Appl Surf Sci 489:66–72

    Article  Google Scholar 

  19. Chen H, Wang S, Lu S, QIao Y, Wang X, Fan N, Guo P, Niu J (2018) Simulation and experimental validation of residual stress and surface roughness of high manganese steel after shot peening. In: Proceedings of the 4th CIRP Conference on Surface Integrity, pp 227–231

  20. Kumar RK, SampathKumaran P, Seetharamu S, Kumar SA, Pramod T (2019) Investigation of shot peeing effect on titanium alloy affecting surface residual stress and roughness for aerospace. In: Proceedings of the 2nd International Conference on Structural Integrity and Exhibition 2018, pp 134–141

  21. Wang X, Wang Z, Wu G, Gan J, Yang Y, Huang H, He J, Zhong H (2019) Combining the finite element method and response surface methodology for optimization of shot peening parameters. Int J Fatigue 129:105231

    Article  Google Scholar 

  22. Gangaraj SMH, Guagliano M, Farrahi GH (2014) An approach to relate shot peening finite element simulation to the actual coverage. Surf Coat Technol 243:39–45

    Article  Google Scholar 

  23. Han K, Owen DRJ, Peric D (2002) Combined finite/discrete element and explicit/implicit simulations of peen forming process. Eng Comput 19(1):92–118

    Article  Google Scholar 

  24. Huang H, Wang Z, Gan J, Yang Y, Wang X, He J, Gan X (2019) The study of universality of a method for predicting surface nanocrystallization after high energy shot peening based on finite element analysis. Surf Coat Technol 358:617–627

    Article  Google Scholar 

  25. Marini M, Fontanari V, Bandini M, Benedetti M (2017) Surface layer modifications of micro-shot-peened Al-7075-T651: experiments and stochastic numerical simulations. Surf Coat Technol 321:265–278

    Article  Google Scholar 

  26. Xf S, Qx X, Cheng X, Lin L (2012) Residual stress field induced by shot peening based on random-shots for 7075 aluminum alloy. Trans Nonferrous Metals Soc China 22:s261–s267

    Article  Google Scholar 

  27. Han K, Peric D, Crook AJL, Owen DRJ (2000) A combined finite/discrete element simulation of shot peening processes - part I: studies on 2D interaction laws. Eng Comput 17(5):593–619

    Article  Google Scholar 

  28. Murugaratnam K, Utili S, Petrinic N (2015) A combined DEM–FEM numerical method for shot peening parameter optimisation. Adv Eng Softw 79:13–26

    Article  Google Scholar 

  29. Gariépy A, Larose S, Perron C, Lévesque M (2011) Shot peening and peen forming finite element modelling – towards a quantitative method. Int J Solids Struct 48(20):2859–2877

    Article  Google Scholar 

  30. Miao HY, Larose S, Perron C, Lévesque M (2009) On the potential applications of a 3D random finite element model for the simulation of shot peening. Adv Eng Softw 40(10):1023–1038

    Article  Google Scholar 

  31. Wu J, Liu H, Wei P, Lin Q, Zhou S (2020) Effect of shot peening coverage on residual stress and surface roughness of 18CrNiMo7-6 steel. Int J Mech Sci 183:105785

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. School of Mechanics and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, People’s Republic of China

    Chengyu Wang, Weigang Li & Jie Yang

  2. Engineering Department, Chengdu Aircraft Industry (Group) Co. LTD, Chengdu, 610091, Sichuan, People’s Republic of China

    Jianjun Jiang, Xin Chao & Weikui Zeng

Authors
  1. Chengyu Wang
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  2. Weigang Li
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  3. Jianjun Jiang
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  4. Xin Chao
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  5. Weikui Zeng
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  6. Jie Yang
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Correspondence to Jie Yang.

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Wang, C., Li, W., Jiang, J. et al. A new methodology to establish the relationship between equivalent shot velocity and air pressure by surface roughness for shot peening. Int J Adv Manuf Technol 112, 2233–2247 (2021). https://doi.org/10.1007/s00170-020-06423-2

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  • DOI: https://doi.org/10.1007/s00170-020-06423-2

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