Tungsten inert gas welding of two aluminum alloys using filler rods containing scandium: the role of process parameters

2021 ◽  
pp. 1-8
Author(s):  
S. Senthur Vaishnavan ◽  
K. Jayakumar
Keyword(s):  
Aluminum Alloys ◽  
Process Parameters ◽  
Inert Gas ◽  
Tungsten Inert Gas Welding

Human behaviour capturing in manual tungsten inert gas welding for intelligent automation

2015 ◽  
Vol 231 (9) ◽  
pp. 1619-1627 ◽  
Author(s):  
Prasad Manorathna ◽  
Sundar Marimuthu ◽  
Laura Justham ◽  
Michael Jackson
Keyword(s):  
Process Parameters ◽  
Welding Process ◽  
Visual Observation ◽  
Inert Gas ◽  
Process Variables ◽  
Tungsten Inert Gas Welding ◽  
Aerospace Applications ◽  
Level Of Automation ◽  
Welding Processes ◽  
Part Variation

Tungsten inert gas welding is extensively used in aerospace applications due to its unique ability to produce higher quality welds compared to other conventional arc welding processes. However, most tungsten inert gas welding is performed manually, and it has not achieved the required level of automation. This is mostly attributed to the lack of process knowledge and adaptability to complexities, such as mismatches due to part fit-up and thermal deformations associated with the tungsten inert gas welding process. This article presents a novel study on quantifying manual tungsten inert gas welding, which will ultimately help intelligent automation of tungsten inert gas welding. Through tungsten inert gas welding experimentation, the study identifies the key process variables, critical tasks and strategies adapted by manual welders. Controllability of welding process parameters and human actions in challenging welding situations were studied both qualitatively and quantitatively. Results show that welders with better process awareness can successfully adapt to variations in the geometry and the tungsten inert gas welding process variables. Critical decisions taken to achieve such adaptations are mostly based on visual observation of the weld pool. Results also reveal that skilled welders prioritise a small number of process parameters to simplify the dynamic nature of tungsten inert gas welding process so that part variation can be accommodated.

scholarly journals Analysis of Mechanical, Microstructural Properties and Weld Morphology of A-TIG Welded AH-36 Marine-Grade Steels with Oxide and Duplex Flux Coating

2021 ◽  
Vol 18 (3) ◽  
pp. 9101-9112
Author(s):  
Vijaya Kumar K. ◽  
N. Ramanaiah ◽  
N. Bhargava Rama Mohan Rao
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Heat Input ◽  
Welding Process ◽  
Marangoni Effect ◽  
Tig Welding ◽  
Inert Gas ◽  
Width Ratio ◽  
Tungsten Inert Gas Welding ◽  
Welding Processes

The current study investigates the metallurgical, mechanical properties and weld morphology of AH36 marine grade steel (with a thickness of 8 mm) by activated-tungsten inert gas  (A-TIG) butt joints, with the application of different fluxes (MoO3, V2O5, and duplex of MoO3 and V2O5) at various process parameters. The welding speed was kept constant at 120 mm/min, and current varied from 160 A to 220 A uniformly to optimise process parameters to achieve desired mechanical properties, weld morphology, and lowest possible heat input. The study also focused on comparing tensile strength, impact strength, and microhardness, heat input during welding, weld bead depth and width between conventional TIG welding and activated flux TIG welding processes at various operation parameters. Tensile results reported that fracture occurs at the base region in ordinary TIG welding and the activated tungsten inert gas welding process. It was noticed that a higher depth to width ratio attained MoO3 and V2O5 duplex flux coated weldments. There is evidence that the depth of weld joints is enhanced because of stable arc, Marangoni effect, and arc constriction. Microhardness results reported that the fusion zone has a higher microhardness in the activated tungsten inert gas welding than the ordinary TIG welding. It was concluded that out of all fluxes, MoO3 and V2O5 duplex flux coating produce better butt welds of AH36 steel.

Metal Inert Gas (MIG) Welding Process Optimization for Joining Aluminum 5754 Sheet Material Using OTC/Daihen Equipment

Manufacturing ◽  
2003 ◽  
Author(s):  
R. Koganti ◽  
C. Karas ◽  
A. Joaquin ◽  
D. Henderson ◽  
M. Zaluzec ◽  
...  
Keyword(s):  
Aluminum Alloys ◽  
Process Parameters ◽  
Flow Rate ◽  
Gas Flow ◽  
Power Input ◽  
Interaction Effects ◽  
Inert Gas ◽  
Weld Penetration ◽  
Mig Welding ◽  
Gas Flow Rate

The development of lightweight vehicles, in particular aluminum intensive vehicles, require significant manufacturing process development for joining and assembling aluminum structures. Currently, 5xxx and 6xxx aluminum alloys are being used in various structural applications in a number of lightweight vehicles worldwide. Various joining methods, such as MIG, Laser and adhesive bonding have been investigated as technology enables for high volume joining of 5xxx, and 6xxx series alloys. In this study, metal inert gas (MIG) welding is used to join 5754 non-heat-treatable alloy sheet products. The objective of this study is to develop optimum weld process parameters for non-heat-treatable 5754 aluminum alloys. The MIG welding equipment used in this study is an OTC/Daihen CPD-350 welding systems and DR-4000 pulse power supply. The factors selected to understand the influence of weld process parameters on the mechanical properties and metallurgy (weld penetration) include power input (torch speed, voltage, current, wire feed), pulse frequency, and gas flow rate. Test coupons used in this study were based on a single lap configuration. A full factorial design of experiment (DOE) was conducted to understand the main and interaction effects on joint failure and weld penetration. The joint strengths and weld penetrations are measured for various operating ranges of weld factors. Post weld analysis indicates, power input and gas flow rate are the two signficant factors (statistically) based on lap shear load to failure and weld penentration data. There were no 2-way or 3-way interaction effects observed in ths weld study. Based on the joint strength and weld penetration, optimum weld process factors were determined.

scholarly journals Optimization of Activated Tungsten Inert Gas Welding Process Parameters Using Heat Transfer Search Algorithm: With Experimental Validation Using Case Studies

Metals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 981
Author(s):  
Jay Vora ◽  
Vivek K. Patel ◽  
Seshasai Srinivasan ◽  
Rakesh Chaudhari ◽  
Danil Yurievich Pimenov ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Case Studies ◽  
Process Parameters ◽  
Optimization Technique ◽  
Carbon Steels ◽  
Weld Bead ◽  
Tig Welding ◽  
Inert Gas ◽  
Tungsten Inert Gas Welding ◽  
A Tig Welding

The Activated Tungsten Inert Gas welding (A-TIG) technique is characterized by its capability to impart enhanced penetration in single pass welding. Weld bead shape achieved by A-TIG welding has a major part in deciding the final quality of the weld. Various machining variables influence the weld bead shape and hence an optimum combination of machining variables is of utmost importance. The current study has reported the optimization of machining variables of A-TIG welding technique by integrating Response Surface Methodology (RSM) with an innovative Heat Transfer Search (HTS) optimization algorithm, particularly for attaining full penetration in 6 mm thick carbon steels. Welding current, length of the arc and torch travel speed were selected as input process parameters, whereas penetration depth, depth-to-width ratio, heat input and width of the heat-affected zone were considered as output variables for the investigations. Using the experimental data, statistical models were generated for the response characteristics. Four different case studies, simulating the real-time fabrication problem, were considered and the optimization was carried out using HTS. Validation tests were also carried out for these case studies and 3D surface plots were generated to confirm the effectiveness of the HTS algorithm. It was found that the HTS algorithm effectively optimized the process parameters and negligible errors were observed when predicted and experimental values compared. HTS algorithm is a parameter-less optimization technique and hence it is easy to implement with higher effectiveness.

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