2019
DOI: 10.1016/j.egypro.2018.11.221
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Study of the effect burnishing on superficial hardness and hardening of S355JR steel using experimental planning

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Cited by 10 publications
(4 citation statements)
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“…The response surfaces illustrating the variation of the responses studied (Hv, Rm, W, e) as a function of burnishing parameters (Py, i) (Fig 8). The graphics show that the effect of the number of tool passes "i"on the surface hardness "Hv" and rupture strength "Rm" are more significant compared to burnishing force "py", where it clearly appears that "Hv" is all more improved, as the number of tool passes increases (i = 3) in particular for low loads [40]; which reaches a value of 243.06 Hv (Fig 8a). Likewise, the rupture strength "Rm" increases considerably with the increase in the number of tool passes (Fig.…”
Section: Interactions Effect On Responses (3dplots and Contours)mentioning
confidence: 99%
See 1 more Smart Citation
“…The response surfaces illustrating the variation of the responses studied (Hv, Rm, W, e) as a function of burnishing parameters (Py, i) (Fig 8). The graphics show that the effect of the number of tool passes "i"on the surface hardness "Hv" and rupture strength "Rm" are more significant compared to burnishing force "py", where it clearly appears that "Hv" is all more improved, as the number of tool passes increases (i = 3) in particular for low loads [40]; which reaches a value of 243.06 Hv (Fig 8a). Likewise, the rupture strength "Rm" increases considerably with the increase in the number of tool passes (Fig.…”
Section: Interactions Effect On Responses (3dplots and Contours)mentioning
confidence: 99%
“…M Bourebia and al. [40] used multifactor planning to predict the surface hardness and tensile properties of S355JR steel. They pointed out that Py 20kgf and i = 3 is the optimal combination which promotes an increase in Hv of 45%.…”
Section: Introductionmentioning
confidence: 99%
“…From these different methods of optimization, Taguchi approach is more powerful technique. From the literature the different optimization techniques used by the researchers are Taguchi method [8,12,14,20,22,27,28,30,32,33,39,41,43,54], FEM [19,23,24,31,34,51], regression analysis (RA) [2,4], artificial neural network (ANN) [2,4], Response surface methodology [3,40], support vector regression (SVR) [4], Surface Texture Analysis [38], principal component analysis [45,49] and Bacterial Foraging Optimization [52].…”
Section: Optimization and Analysis Techniquesmentioning
confidence: 99%
“…Zhuang and wicks [17] worked on aircraft engine components and conducted a three-dimensional study of the complex pressure generated due to cyclic plastic deformation. Salahshoor and Guo [18] worked on a Ti6Al4V workpiece that considered the ceramic ball as a ball material and developed a three-dimensional analysis for compressive stresses and surface roughness. Mounira Bourebiaa in [19] mentions that burnishing imparts a superficial hardness improvement to the surface.…”
Section: Introductionmentioning
confidence: 99%