Numerical and experimental analysis of surface roughness generated by shot peening

Abstract Shot peening, apart from its various projected effects, modifies also the surface state of treated components in terms of surface irregularities. Bearing in mind that both the macroscopic and the microstructure surface characteristics strongly affect the mechanical structures’ functionality, it is essential to carefully study the surface state of treated components. To assess the surface roughness evolution induced by shot peening, a 3D finite element model of the process is used to investigate surface topography alterations as a function of peening parameters and processing time. Discrete data obtained from the numerical simulations are subsequently elaborated to calculate the conventional roughness parameters. The results obtained from the numerical simulations, correspond quite well with the roughness values measured experimentally on shot peened specimens. It is indicated that the developed numerical model provides an efficient estimation of surface characteristics of shot peened specimens, in terms of surface roughness parameters and thus can be used to properly select the peening parameters considering the eventual surface roughness.

[1]  D. Draganovská,et al.  Analyses of the Quality of Blasted Surfaces , 2004 .

[2]  Yao Mei,et al.  AN ANALYSIS OF STRESS CONCENTRATIONS CAUSED BY SHOT PEENING AND ITS APPLICATION IN PREDICTING FATIGUE STRENGTH , 1992 .

[3]  G. N. Labeas,et al.  Numerical modelling of shot peening process and corresponding products: Residual stress, surface roughness and cold work prediction , 2011 .

[4]  Fred A. Hamprecht,et al.  A three-dimensional measure of surface roughness based on mathematical morphology , 2006 .

[5]  B. Muralikrishnan,et al.  Recent advances in separation of roughness, waviness and form , 2002 .

[6]  S. Bagherifard,et al.  Fatigue behavior of a low-alloy steel with nanostructured surface obtained by severe shot peening , 2012 .

[7]  Gholam Hossein Majzoobi,et al.  The effects of deep rolling and shot peening on fretting fatigue resistance of Aluminum-7075-T6 , 2009 .

[8]  Mario Guagliano,et al.  A numerical model of severe shot peening (SSP) to predict the generation of a nanostructured surface layer of material , 2010 .

[9]  J. Lemaitre,et al.  Mécanique des matériaux solides , 1996 .

[10]  L Ploux,et al.  The interaction of cells and bacteria with surfaces structured at the nanometre scale. , 2010, Acta biomaterialia.

[11]  M. Avrami.  Kinetics of Phase Change. II Transformation‐Time Relations for Random Distribution of Nuclei , 1940 .

[12]  G. Feldmann,et al.  Comparison of the Consequences of Shot Peening Treatment Methods on the Surface Layer Characteristics of Ti6246 , 2011 .

[13]  J. S. Hunter,et al.  Statistics for experimenters : an introduction to design, data analysis, and model building , 1979 .

[14]  Volker Schulze,et al.  Finite Element Simulation of Shot Peening – A Method to Evaluate the Influence of Peening Parameters on Surface Characteristics , 2006 .

[15]  M. Avrami.  Granulation, Phase Change, and Microstructure Kinetics of Phase Change. III , 1941 .

[16]  Leon L. Shaw,et al.  Finite element modeling of the surface roughness of 5052 Al alloy subjected to a surface severe plastic deformation process , 2004 .

[17]  M. Avrami.  Kinetics of Phase Change. I General Theory , 1939 .

[18]  Hurriyatul Fitriyah,et al.  Validation on 3D Surface Roughness Algorithm for Measuring Roughness of Psoriasis Lesion , 2010 .

[19]  M. Guagliano,et al.  Review of shot peening processes to obtain nanocrystalline surfaces in metal alloys , 2009 .

[20]  Martin Lévesque,et al.  On the potential applications of a 3D random finite element model for the simulation of shot peening , 2009, Adv. Eng. Softw..

[21]  Mario Guagliano,et al.  RETRACTED: Influence of mesh parameters on FE simulation of severe shot peening (SSP) aimed at generating nanocrystallized surface layer , 2011 .

[22]  Volker Schulze,et al.  Similarity Rules for the Shot Peening Process Based on Finite Element Simulations , 2005 .