Multi-objective optimization of process parameter in Activated Tungsten Inert Gas (A-TIG) Welding

Nilesh Dhirajlal Ghetiya, Sunil I Bachani

Abstract


Tungsten Inert Gas (TIG) welding is a process which is used in those applications requiring a high degree of quality and accuracy. However, this welding process has disadvantage of less productivity. To overcome this disadvantage, Activated Tungsten Inert Gas (A-TIG) welding was developed. In the present work, experiments were performed on 6 mm thick 304L stainless steel plates using A-TIG welding process. TIG welding fixture was designed and developed for getting fixed arc length and different welding speeds. Three different combination of fluxes like TiO2+ MnO2, SiO2+ TiO2 and Al2O3+ CaO were used to investigate its effect on geometric shape and distortion of weldments.  A-TIG welding process parameters optimization was performed by multi-objective optimization technique named as Gray Principal Component Analysis (G-PCA). The optimum process parameters were found to be 140 A current, 100 mm/min speed and mixture of SiO2 and TiO2 flux.

Keywords


Activated Tungsten Inert Gas welding, welding fixture, Gray Principal Component Analysis, Multi-objective optimization

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Nilesh Dhirajlal Ghetiya, Sunil I Bachani

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.