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Optimal weld bead profiles in the conduction mode LBW of thin Ti–6Al–4V alloy sheets

Authors :
Harish Mooli
Srinivasa Rao Seeram
Satyanarayana Goteti
Nageswara Rao Boggarapu
Source :
AIMS Materials Science, Vol 8, Iss 5, Pp 698-715 (2021)
Publication Year :
2021
Publisher :
AIMS Press, 2021.

Abstract

Day by day laser welding (LW) is gaining industrial importance. Good quality of weld joints can be realized through this process. Because this process yields low distortion and small weld bead. Aerospace, nuclear, automotive, and biomedical industries are opting for the lightweight and corrosion resistance titanium alloys. This paper deals with the generation of optimal weld bead profiles in the conduction mode laser beam welding (LBW) of thin Ti–6Al–4V alloy sheets. Laser beam diameter, power and welding speed are the 3 LBW parameters, whereas, bead width, depth of penetration, heat affected zone and maximum temperature are the performance indicators (PIs). 3 levels are set for each LBW parameter. Taguchi's L9 OA (orthogonal array) is selected to minimize the numerical simulations. ANSYS Fluent V16.0 with Vc++ code is used to develop a generic model. %Contribution of each process variable on the PIs is assessed performing ANOVA analysis. The range of PIs is assessed adopting the modified Taguchi approach. A set of optimal LBW parameters are identified considering a multi-objective optimization technique. For these optimal LBW parameters weld bead width is minimum, and the depth of penetration is maximum. Empirical relations for PIs are developed and validated with simulations. Utilizing the Taguchi's design of experiments, empirical relations are developed for the performance indicators in laser beam welding (LBW) simulations performing few trial runs and identified the optimal LBW process parameters.

Details

Language :
English
ISSN :
23720484
Volume :
8
Issue :
5
Database :
Directory of Open Access Journals
Journal :
AIMS Materials Science
Publication Type :
Academic Journal
Accession number :
edsdoj.079d6d36d745f88430ae00d10d1db7
Document Type :
article
Full Text :
https://doi.org/10.3934/matersci.2021042?viewType=HTML