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.

Performance of weld bead profile during A-TIG welding on nitrogen alloyed stainless steel

2021 ◽  
Author(s):  
Akash Deep ◽  
Vivek Singh ◽  
Som Ashutosh ◽  
M. Chandrasekaran ◽  
Dixit Patel
Keyword(s):  
Stainless Steel ◽  
Welding Process ◽  
Weld Bead ◽  
Tig Welding ◽  
Inert Gas ◽  
Bead Geometry ◽  
Depth Of Penetration ◽  
Weld Bead Geometry ◽  
A Tig Welding ◽  
Arc Welding Process

Abstract Austenitic stainless steel (ASS) is widely fabricated by tungsten inert gas (TIG) welding for aesthetic look and superior mechanical properties while compared to other arc welding process. Hitherto, the limitation of this process is low depth of penetration and less productivity. To overcome this problem activated tungsten inert gas (A-TIG) welding process is employed as an alternative. In this investigation the welding performance of conventional TIG welding is compared with A-TIG process using TiO2 and SiO2 flux with respect to weld bead geometry. The experimental investigation on A-TIG welding of ASS-201 grade shows TiO2 flux helps in achieve higher penetration as compared to SiO2 flux. While welding with SiO2 the hardness in HAZ and weld region higher than that of TIG welding process.

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.

Study on Corrosion Behavior of Weld Bead by Tungsten Inert Gas Welding China Low Activation Martensitic Steel in Static Oxygen-Saturated Pb-Bi at 500°C

CORROSION ◽  
10.5006/3066 ◽  
2019 ◽  
Vol 75 (4) ◽  
pp. 408-416 ◽  
Author(s):  
Gang Chen ◽  
Yucheng Lei ◽  
Qiang Zhu ◽  
Tianqing Li ◽  
Dan Wang ◽  
...  
Keyword(s):  
Corrosion Behavior ◽  
Martensitic Steel ◽  
Weld Bead ◽  
Inert Gas ◽  
Tungsten Inert Gas Welding

Design and Development of Knowledge Bases for Forward and Reverse Mappings of TIG Welding Process

2009 ◽  
pp. 185-200
Author(s):  
J. P. Ganjigatti ◽  
Dilip Kumar Pratihar
Keyword(s):  
Regression Analysis ◽  
Welding Process ◽  
Knowledge Bases ◽  
Tig Welding ◽  
Inert Gas ◽  
Statistical Regression ◽  
A Tig Welding ◽  
Input Variables ◽  
Forward Mapping ◽  
Reverse Mapping

In this chapter, an attempt has been made to design suitable knowledge bases (KBs) for carrying out forward and reverse mappings of a Tungsten inert gas (TIG) welding process. In forward mapping, the outputs (also known as the responses) are expressed as the functions of the input variables (also called the factors), whereas in reverse mapping, the factors are represented as the functions of the responses. Both the forward as well as reverse mappings are required to conduct, for an effective online control of a process. Conventional statistical regression analysis is able to carry out the forward mapping efficiently but it may not be always able to solve the problem of reverse mapping. It is a novel attempt to conduct the forward and reverse mappings of a TIG welding process using fuzzy logic (FL)-based approaches and these are found to solve the said problem efficiently.

Optimization of A-TIG welding process parameters for RAFM steel using response surface methodology

2015 ◽  
Vol 232 (2) ◽  
pp. 121-136 ◽  
Author(s):  
P Vasantharaja ◽  
M Vasudevan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Welding Process ◽  
Tig Welding ◽  
Depth Of Penetration ◽  
Bead Width ◽  
A Tig Welding ◽  
Input Variables ◽  
Haz Width

In the present work, the optimization of Activated TIG (A-TIG) welding process parameters to achieve the desired weld bead shape parameters such as depth of penetration, bead width, and heat-affected zone (HAZ) width have been carried out using response surface methodology (RSM). The main problem faced in fabrication of weld joints is the selection of optimum combination of input variables for achieving required quality of welds. This problem can be solved by development of mathematical model and execution of experiments by RSM. Central composite design of RSM has been used to generate the design matrix for generating data on the influence of A-TIG welding process parameters. The input variables considered were welding current, torch speed, electrode tip angle, and arc gap. The response variables considered were depth of penetration, bead width and HAZ width. A second-order response surface model is developed for predicting the response for the set of given input process parameters. Then, numerical and graphical optimization is performed using RSM to obtain the desired depth of penetration, bead width, and target HAZ width using desirability approach.

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.

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