Investigation on effects of parameters of GMAW process on bead geometry, hardness and microstructure of AISI 410 steel weldments

Kamble, Avinash; Rao, R. Venkata

doi:10.1080/2374068x.2021.1912537

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Researchers have discussed the weld bead structure, hardness, and microstructures are in uenced by welding process factors. Also, it was indicated that welded the lower heat input was attributed to decreasing the hardness values from the zone to the base metal, and when the welding parameters are changed, the grain size changes from smaller to larger in different passes [5][6].…”

Section: Introductionmentioning

confidence: 99%

Effects of Alternating Shielding Gases and post weld heat treatment on microstructure and mechanical properties of the GMA welded Joints of AA6061 Aluminium Alloy

Govindasamy,

2023

Preprint

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The present paper focuses on the effect of alternating shielding gases and post weld heat treatment on tensile properties and porosity of GMA welded AA6061 joints. These properties of weld joints will be greatly influenced by microstructure and hardness of the welded joints. Hence, in this investigation tensile strength, porosity, microstructure and micro hardness measurements were carried out on the cross section of weldments. Investigations were conducted utilizing the Universal Testing Machine, Vickers Micro Hardness Tester, X-ray radiography, Optical Microscope, Scanning Electron Microscope (SEM), and X-ray Diffraction (XRD). Hence, in this research, a complete analysis has been carried out to understand the influence of shielding gases and post weld heat treatment on mechanical and metallurgical behavior of GMA welded joints of AA6061aluminium alloy. It was represented in this research; tensile strength of post heat treatment welded aluminum alloy was increased by 44.9% than non post treatment of welded joints. Also, the micro hardness has been greatly improved post weld heat treatment in AA6061 alloy specimens. It was evident from the micro structures and fractography analysis of the AA6061 alloy components.

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Section: Introductionmentioning

confidence: 99%

Effects of Alternating Shielding Gases and post weld heat treatment on microstructure and mechanical properties of the GMA welded Joints of AA6061 Aluminium Alloy

Govindasamy,

2023

Preprint

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“…Thompson et al [4] performed image analysis in GMAW using deep learning and machine learning techniques for predicting the bead geometry and verified with experimental results. Kamble et al [5] studied GMAW process parameters by formulating a mathematical model for estimating the values and comparing them with experimental results. The process parameters of GMAW were predicted through thermomechanical simulation using ANSYS software on AISI 430 steel and compared with experimental results.…”

Section: Introductionmentioning

confidence: 99%

Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

Devendran¹,

Varthanan²

2021

Mater. Res. Express

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Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the “Fanuc Robot Arc mate 100iC/12” robot. The material characteristics such as ultimate tensile strength, hardness, and impact strength of weldments are predicted using a fuzzy system using triangular membership function (TrMF) and trapezoidal membership function (TMF). The simulated results are validated by comparing with experimental work, the experiments are designed using orthogonal array L18, and material characteristics are studied using fractography test. The fuzzy system is trained with experimental results using the IF-Then rule base with the help of the L18 orthogonal array. The inference system has predicted the accuracy rate of weldment mechanical properties, showing a lower error rate.

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Weld bead geometry real-time control in gas metal arc welding processes using intelligent systems

Girón-Cruz

Pinto-Lopera

Alfaro

2022

Int J Adv Manuf Technol

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Gas metal arc welding (GMAW) process is one of the most important in the industry, so different efforts have been made to anticipate the parameters to convert this process into a stable one capable of joining parts with minimum human interference. In this sense, controlling is essential for automated applications because properties such as the weld mechanical strength are defined by the metal composition, the microstructure, and the weld bead geometry. Nevertheless, performing this automatic control to guarantee quality characteristics similar to a human expert’s in mechanized welding systems is still tricky. Nowadays, although various sensors have been used in the monitoring for control, it is still hard to detect effective options to real-time identify geometry characteristics in the formation process of the welds. Furthermore, even today, a process much more complex is to control more than one parameter simultaneously or control the weld penetration using a single sensor. Then, this research describes two intelligence systems for real-time control of the weld bead geometry in the GMAW process. The first is a passive vision system with sensor fusion that controls the width and height; the second is an active vision system that controls the penetration. Results indicate that the proposed methodology can be applied to simultaneously control external geometrical parameters without a predefined model of the welding process. In the case of penetration, a fuzzy controller and a neural network-based model help the system adapt to input parameter variations throughout the welding process, thus correcting instabilities under changing operating conditions.

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Investigation on effects of parameters of GMAW process on bead geometry, hardness and microstructure of AISI 410 steel weldments

Cited by 3 publications

References 11 publications

Effects of Alternating Shielding Gases and post weld heat treatment on microstructure and mechanical properties of the GMA welded Joints of AA6061 Aluminium Alloy

Effects of Alternating Shielding Gases and post weld heat treatment on microstructure and mechanical properties of the GMA welded Joints of AA6061 Aluminium Alloy

Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

Weld bead geometry real-time control in gas metal arc welding processes using intelligent systems

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