Optimisation of laser welding parameters for welding of P92 material using Taguchi based grey relational analysis

Shanmugarajan, B.; Shrivastava, Rishabh; Sathiya, P.; Buvanashekaran, G.

doi:10.1016/j.dt.2016.04.001

Cited by 39 publications

(14 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The quality weld can be expected through optimum welding process parameters which yield deep and narrow penetration, low weld bead width and narrow heat effected zone (HAZ). Shanmugarajan et al [22] have performed experiments to specify optimum laser welding process parameters for P92 steel by using the signal-to-noise (S/N) ratio transformation and the Taguchi based grey relational analysis (GRA). The P92 steel plates have rectangular geometric shape and the dimensions are 200 mm of length, 150 mm of width and 8 mm of thickness.…”

Section: Test Data Acquisitionmentioning

confidence: 99%

“…The design of experiments in [22] involves 3 input process variables such as laser power, welding speed and focal position assigning 3 levels for each these independent variables in the selected L 9 orthogonal array. For easy of reference, the 3 input process parameters (viz., laser power, welding speed and focal position) are designated by A, B and C respectively.…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

“…Since and are two different output responses, they can be functionally represented after non-dimensioning them. For this purpose, the maximum values of and evaluated from the ANOVA table [22] considering the fictitious parameter are: max = 2730.3 and max = 6492.2.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

“…Shanmugarajan et al [22] have made an interesting experimental study to optimize the laser welding process for P92 steel by using the signal-to-noise (S/N) ratio transformation and the Taguchi based grey relational analysis (GRA). The concept of S/N ratio transformation introduced by Taguchi is to account the scatter in the output response of repeated tests for each test run in the orthogonal array and provide a single value to perform analysis of variance (ANOVA) and examine the significance of the input process variables.…”

Section: Introductionmentioning

confidence: 99%

“…This paper demonstrates the simplicity and the adequacy of Taguchi approach to handle multi-objective optimization problems related to laser welding process for P92 steel. It follows the modified Taguchi method [19] in finding the expected range of the output responses and a simple multi-objective optimization technique [14,15] when compared to the Taguchi based grey relational analysis of [22]. Empirical relations for the output responses are developed in terms of input process variables and validated with existing test results.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimal laser welding process parameters and expected weld bead profile for P92 steel

2019

View full text Add to dashboard Cite

P92 steel is classified as one of the creep strength enhanced ferritic steels, whose welding plays a crucial role in power industries. The best choice for such materials is the laser welding in open atmosphere with an inert gas shield. Compared to the frequently being used Taguchi based grey relational analysis, a simple and systematic approach known as the modified Taguchi design of experiments is utilized for P92 steel to obtain the optimized laser welding process parameters and the expected range of output responses. The complicated non-linear relationship between the laser welding process parameters (viz., laser power, welding speed and focal position) and the welding bead geometry (such as depth of penetration, weld width and heat affected zone width) is developed through empirical relations, which are validated by comparing with existing test results. Most of the test results are found to be within the expected range. From the ANOVA analysis the process parameter, viz. the focal position is found to have negligible variation on the overall mean value of the output responses and hence, the process designer can opt for any one the set levels of the focal position during welding operations.

show abstract

Section: Test Data Acquisitionmentioning

confidence: 99%

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

Section: Multi-objective Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations