2014
DOI: 10.1007/s00170-014-6665-y
|View full text |Cite
|
Sign up to set email alerts
|

Application of grey relational analysis for optimizing weld bead geometry parameters of pulsed current micro plasma arc welded inconel 625 sheets

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
16
0

Year Published

2015
2015
2018
2018

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 45 publications
(16 citation statements)
references
References 5 publications
0
16
0
Order By: Relevance
“…The GRA, a part of the gray system theory developed by Deng (1989), is a comprehensive method for solving MCDM problems that is most useful when either the data available are meager or the relationship between the attributes is complex (Pervez, Mozumder, & Mourad, 2016). GRA can effectively be recommended as a method for evaluating the complicated interrelationships among multiple performance characteristics (Prasad, Chalamalasetti, & Damera, 2015). Through GRA, a gray relational grade (GRG) is obtained, which is used to integrate multiple performance values into a single value.…”
Section: Gray Relational Analysismentioning
confidence: 99%
“…The GRA, a part of the gray system theory developed by Deng (1989), is a comprehensive method for solving MCDM problems that is most useful when either the data available are meager or the relationship between the attributes is complex (Pervez, Mozumder, & Mourad, 2016). GRA can effectively be recommended as a method for evaluating the complicated interrelationships among multiple performance characteristics (Prasad, Chalamalasetti, & Damera, 2015). Through GRA, a gray relational grade (GRG) is obtained, which is used to integrate multiple performance values into a single value.…”
Section: Gray Relational Analysismentioning
confidence: 99%
“…In the normalization process, a criteria drawn from the process performances are selected as in the analysis of the signal to noise ratio. As noted before, maximization of ultimate tensile strength and percentage of elongation is the expected result for a welding process, and so the "larger the better" characteristic was used for normalization of the signal to noise ratios [25][26][27][28].…”
Section: Performing the Normalization Processmentioning
confidence: 99%
“…where x 0 i k ð Þ is the signal to noise ratio, x * i k ð Þ is the sequence after the data pre-processing, maxx 0 i k ð Þ is the highest value in the signal to noise ratios, minx 0 i k ð Þ is the lowest value in the signal to noise ratios, i = 1, 2, …, m; k = 1, 2, …, n; m is the number of experiments, and n is the number of experimental data [25][26][27][28].…”
Section: Performing the Normalization Processmentioning
confidence: 99%
See 2 more Smart Citations