2016
DOI: 10.17222/mit.2015.023
|View full text |Cite
|
Sign up to set email alerts
|

Optimizing the parameters for friction welding stainless steel to copper parts

Abstract: St-Cu (stainless steel and copper) parts were friction welded with the aim to optimize the process parameters in the present study. The joints obtained with various process-parameter combinations were subjected to a tensile test. Empirical relationships were developed to predict the strength of the joints using RSM (the response-surface methodology) and the coherency of the model was tested. The tensile properties, microhardness variations, SEM, the EDS analysis and X-ray diffraction (XRD) analysis of the weld… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 15 publications
0
2
0
Order By: Relevance
“…The response contours can contribute to the prediction of responses in the experimental field as observed in the literature. 22,[24][25][26][27] The end of the response plot illustrates the maximum achievable tensile strength. Figures 3 and 4 show that the tensile strength increases with the increasing friction pressure/time ratio and rotational speed.…”
Section: Empirical Relationships and Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…The response contours can contribute to the prediction of responses in the experimental field as observed in the literature. 22,[24][25][26][27] The end of the response plot illustrates the maximum achievable tensile strength. Figures 3 and 4 show that the tensile strength increases with the increasing friction pressure/time ratio and rotational speed.…”
Section: Empirical Relationships and Optimizationmentioning
confidence: 99%
“…[20][21][22][23] The response surface methodology (RSM) is a collection of mathematical and statistical techniques that are useful for designing a set of experiments, developing a mathematical model, analyzing the optimum combination of the input parameters and expressing the values graphically. [24][25][26][27] To obtain the maximum strength, it is essential to have a complete control over the relevant process parameters as demonstrated in the literature.…”
Section: Introductionmentioning
confidence: 99%