2019
DOI: 10.1016/j.promfg.2019.06.152
|View full text |Cite
|
Sign up to set email alerts
|

Determining the effect of ball burnishing parameters on surface roughness using the Taguchi method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
8
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
2
1

Relationship

0
10

Authors

Journals

citations
Cited by 22 publications
(9 citation statements)
references
References 11 publications
0
8
0
1
Order By: Relevance
“…In the case of slide burnishing, a hard and smooth burnishing element is pressed against the machined surface with the appropriate force, causing sliding friction in the burnishing zone and, as in the consequence of this process, smoothing of the surface and beneficial changes in the properties of the surface layer of the object sciENcE aNd tEchNology [31]. By using slide burnishing, we can improve hardness of the [28,33], attain good surface smoothness [14,25,30], form compressive stresses in the top layer [2,32] and obtain a top layer free of abrasive contaminants. These features favorably affect a number of functional properties, including the tribological wear [5,24], fatigue strength [33,34] and corrosion resistance [28,37].…”
Section: Introductionmentioning
confidence: 99%
“…In the case of slide burnishing, a hard and smooth burnishing element is pressed against the machined surface with the appropriate force, causing sliding friction in the burnishing zone and, as in the consequence of this process, smoothing of the surface and beneficial changes in the properties of the surface layer of the object sciENcE aNd tEchNology [31]. By using slide burnishing, we can improve hardness of the [28,33], attain good surface smoothness [14,25,30], form compressive stresses in the top layer [2,32] and obtain a top layer free of abrasive contaminants. These features favorably affect a number of functional properties, including the tribological wear [5,24], fatigue strength [33,34] and corrosion resistance [28,37].…”
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%
“…In metal-based materials, the fundamental BB parameters that influence superficial roughness and hardness have been previously identified by Loh et al (1990) and Shiou and Chen (2003), including the ball diameter, applied force, feed rate, lateral pass width, number of tool passes and lubricants (Swirad and Wdowik, 2019). In addition, Low and Wong (2011) have shown the benefits of this process on polymers regarding surface enhancement, coefficient of friction and wear rate and, more discretely, superficial hardness (Łukasz Janczewski et al , 2016).…”
Section: Introductionmentioning
confidence: 99%