نتایج جستجو برای: bead geometry

تعداد نتایج: 152450  

2013
K. Ashok Kumar Lakshmi Narayana Srinivasa Rao

GAS TUNGSTEN ARC WELDING (GTAW) is the quality weld process. It is preferred welding process for stainless steel, low alloy steel, nickel, cobalt, titanium, aluminum, copper, and magnesium. The present work aims to evaluate the effect of Gas Tungsten Arc Welding process parameters on the quality of the weld bead. The process parameters Welding Current, Wire Diameter, Wire Feed Speed, Ratio of w...

2009
Farhad Kolahan Mehdi Heidari

Gas Metal Arc Welding (GMAW) processes is an important joining process widely used in metal fabrication industries. This paper addresses modeling and optimization of this technique using a set of experimental data and regression analysis. The set of experimental data has been used to assess the influence of GMAW process parameters in weld bead geometry. The process variables considered here inc...

Journal: :Advances in Engineering Software 2008
K. Y. Benyounis A. G. Olabi

Welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties, and distortion. Generally, all welding processes are used with the aim of obtaining a welded joint with the desired weld-bead parameters, excellent mechanical properties with minimum distortio...

Journal: :international journal of advanced design and manufacturing technology 0
sivaprasad kondapalli assistant professor srinivasa rao chalamalasetti associate professor nageswara rao damera vice chancellor, centurion university of technology & management

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...

2012
Vinod Kumar

To automate a welding process, which is the present trend in fabrication industry, it is essential that mathematical models have to be developed to relate the process variables to the weld bead parameters. Submerged arc welding (SAW) is characterized by its high reliability, deep penetration, smooth finish and high productivity especially for welding of pipes and boiler joints. In the present w...

Journal: :Sensors 2018
Guillermo Alvarez Bestard Renato Coral Sampaio José A R Vargas Sadek C Absi Alfaro

The arc welding process is widely used in industry but its automatic control is limited by the difficulty in measuring the weld bead geometry and closing the control loop on the arc, which has adverse environmental conditions. To address this problem, this work proposes a system to capture the welding variables and send stimuli to the Gas Metal Arc Welding (GMAW) conventional process with a con...

2014
Rakesh Sharma Jagdeep Singh

The aim of this study is to investigate the optimization process parameters for Metal inert gas welding (MIG). In the present work, bead-on -plate welds were carried out on MS 5986 Fe 410 carbon steel sheets using Gas Metal Arc Welding (GMAW) process. In this present investigation ER70S-6 solid wire having 1.2 mm diameter was used as an electrode with direct current electrode positive polarity....

2013
D. KIM M. KANG S. RHEE

This study proposes a method for determining the near-optimal settings of welding process parameters using a controlled random search (CRS) wherein the near-optimal settings of the welding process parameters are determined through experiments. The method suggested in this study is used to determine the welding process parameters by which the desired weld bead geometry is formed in gas metal arc...

2011
José Henrique de Freitas Gomes

In recent years, stainless steel cladding applications have increased in industrial environments due to this process allows anti-corrosive surfaces be produced from low cost materials, such as carbon steel or low alloy steels. However, to ensure the final quality of the claddings, it is important to know the welding parameters’ effects on the process outputs. This contributes to an appropriate ...

Journal: :IJMMME 2013
R. Sudhakaran P. S. Sivasakthivel

The quality of the weld joint is highly influenced by the welding parameters. Hence accurate prediction of weld bead parameters is highly essential to achieve good quality joint. This paper presents development of neural network models for predicting bead parameters such as depth of penetration, bead width and depth to width ratio for AISI 202 grade stainless steel GTAW plates. The use of this ...

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