scholarly journals EFEK GETARAN PADA PENGELASAN ALUMINUM 5083 H112 MENGGUNAKAN PROSES LAS GAS METAL ARC WELDING (GMAW) TERHADAP POROSITAS

2018 ◽  
Vol 4 (2) ◽  
pp. 85
Author(s):  
Imam Khoirul Rohmat ◽  
Winarto Winarto
Keyword(s):  
Tensile Test ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Hardness Test ◽  
Casting Process ◽  
Specific Strength ◽  
Good Corrosion Resistance ◽  
High Specific Strength ◽  
Metal Arc Welding ◽  
Aluminum 5083

5083 series aluminum magnesium is widely used for marine industrial. It is caused aluminum has high specific strength and good corrosion resistance. However, at process of welding many of porosity occured in the aluminum and it decrease the mechanical properties especially in HAZ (Heat Affected Zone). At casting process of aluminum, porosity could reduce by giving vibration. So, this method is tried to be applicated for welding of aluminum due to welding is a miniature of casting. Tensile test, hardness test, metallography test, and image analysis are technique to characterize the effect. As a result, vibration is not really affected the amount of porosity that occurred. But for hardness it is influenced especially for ER 4043 filler where the vibrated specimens have a higher hardness. The higher average result of tensile test for ER 5356 filler obtained at unvibrated specimens with the value is 231 MPa and for ER 4043 filler the higher average result obtained at vibrated specimen, the value is 226 MPa.

scholarly journals Two gas metal arc welding process dataset of arc parameters and input parameters

Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106790
Author(s):  
Rogfel Thompson Martinez ◽  
Guillermo Alvarez Bestard ◽  
Sadek C. Absi Alfaro
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Process ◽  
Metal Arc Welding ◽  
Input Parameters ◽  
Arc Welding Process

scholarly journals Out-of-Control Multivariate Patterns Recognition Using D2 and SVM: A Study Case for GMAW

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 467
Author(s):  
Pamela Chiñas-Sanchez ◽  
Ismael Lopez-Juarez ◽  
Jose Antonio Vazquez-Lopez ◽  
Jose Luis Navarro-Gonzalez ◽  
Aidee Hernandez-Lopez
Keyword(s):  
Arc Welding ◽  
New Technologies ◽  
Gas Metal Arc Welding ◽  
Industrial Processes ◽  
Support Vector ◽  
Innovative Method ◽  
Metal Arc Welding ◽  
Vector Machines ◽  
Study Case ◽  
Multivariate Pattern

Industrial processes seek to improve their quality control, including new technologies and satisfying requirements for globalised markets. In this paper, we present an innovative method based on Multivariate Pattern Recognition (MVPR) and process monitoring in a real-world study case. By identifying a distinctive out-of-control multivariate pattern using the Support Vector Machines (SVM) and the Mahalanobis Distance D2 it is possible to infer the variables that disturbed the process; hence, possible faults can be predicted knowing the state of the process. The method is based on our previous work, and in this paper we present the method application for an automated process, namely, the robotic Gas Metal Arc Welding (GMAW). Results from the application indicate an overall accuracy up to 88.8%, which demonstrates the effectiveness of the method, which can also be used in other MVPR tasks.

Pulsed gas metal arc welding of Al–Cu–Li alloy

2005 ◽  
Vol 10 (1) ◽  
pp. 67-75 ◽  
Author(s):  
G. Padmanabham ◽  
S. Pandey ◽  
M. Schaper
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Metal Arc Welding
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