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9 articles for “weld bead geometry”
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Multi Objective Optimization of Weld Bead Geometry Parameters of Pulsed Current Micro Plasma Arc Welded Inconel 625 Using Enhanced Non-dominated Sorting Genetic Algorithm
Abstract: Pulsed Current Plasma Arc Welding (PCPAW) is one of the most widely used welding processes in sheet metal manufacturing industry. In any fusion arc welding process, the weld bead geometry plays an important role in determining the mechanical properties of the weld and hence, quality of the weld. Moreover, the geometry of weld bead involves several simultaneously multiple quality characteristics such as front width, back width, front height and back …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 1, 2013 · pp. 17–24 Read article
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Statistical Analysis on Weld Bead Geometry of Pulsed Current Micro-plasma Arc Welded AISI 316Ti Austenitic Stainless Steel Sheets
Abstract: Micro-plasma arc welding (MPAW) uses low amperage to join sheets, where the thickness is low, such that they can be used for manufacturing metal bellows, metal diaphragms etc. In the present work, pulsed current MPAW is used for joining 0.3 mm thick AISI 316Ti austenitic stainless steel sheets. Peak current, base current, pulse rate and pulse width are considered as input parameters and weld bead geometry parameters namely front width, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 2, 2016 · pp. 20–37 Read article
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Prediction of Bead Geometry Parameters using Response Surface Methodology and Finite Element Analysis of Gas Metal Arc Welded Joints of Aluminum Alloy
Abstract: Gas Metal Arc welding process aims to produce welded joint with the excellent mechanical properties with minimum distortion and desired weld bead parameters. In welding, input process parameters decides the quality of weld joint. Manufacturer are facing problem of controlling the process input parameters to obtain a good welded joint with the bead geometry. Prediction of weld bead geometry play very important role in determining the quality of weld. This …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 23–35 Read article
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A Review: Distortion Control in 20MnMoNi55 Material Using GTAW and SAW Process
Abstract: Gas tungsten arc welding (GTAW) is high quality and high precision welding process which is suitable for welding thin metals. Inert gases such as helium and argon, carbon dioxide, nitrogen etc. are used as shielding gases to prevent the weld bead from air, dust and other contaminations in welding. There are so many welding process parameters affecting the weld quality in GTAW. Important process parameters which mainly affect the weld …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 34–38 Read article
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Selection and Mechanism of using active gas in GTAW Process – A review
Abstract: Gas tungsten arc welding process is known for its good quality welds. However, the lack of penetration of the process leads to low productivity. Many techniques have been implemented in the past to improve the joint penetration and thereby the productivity of GTAW process. In one of the technique, active gas like Carbon dioxide, Nitrogen or Oxygen is used in some proportion along with the inert gas. This addition of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 8, Issue 1, 2018 · pp. 49–61 Read article
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article
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Optimization of TIG Welding Process Parameters of Ss 304 By Taguchi Method and Grey Relation Analysis
Abstract: TIG welding is one of the widely used welding processes in manufacturing industries. In any of the welding processes, many factors play a vital role in obtaining strength of welding joint like bead geometry. So, there is need of optimizing the TIG process for a better so in this paper optimization of various TIG parameters have been done like bead geometry, penetration, and HAZ (Heat Affected Zones) on the basis …
Published in Journal of Production Research & Management · Vol. 9, Issue 3, 2019 · pp. 27–40 Read article
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TiO2 Refined Flux Provides Significant Impact on Saw Bead Shape, Particle Size, and Hardness
Abstract: This experiment is very interested in how adding titanium dioxide powder to submerged arc welding on low alloy steel plates affects the bead geometry, grain size, and hardness. The commercial fluxes were combined with powdered titanium dioxide at varying concentrations (2.5%, 5%, 7.5%, 10%, and 12.5%). No changes were made to the welding process parameters despite the variety of welding situations. It has been shown that the inclusion of titanium …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 70–80 Read article
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Investigation of Robotic Transverse Twin-Wire GMAW for Large-Scale Wire-Arc Additive Manufacturing Applications
Abstract: Bulk metal additive manufacturing using wire-arc processes has gained significant attention for fabricating large-scale engineering components due to their high deposition rate and material efficiency. In this study, the feasibility and performance of robotic transverse twin-wire gas metal arc welding (GMAW) for bulk wire-arc additive manufacturing (WAAM) is systematically assessed. The research focuses on understanding arc stability, weld bead characteristics, and process–product relationships under high-deposition conditions. Welding current signals from …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 · pp. 36–50 Read article