The Investigation of Monitoring Systems for SMAW Processes

The monitoring weld quality is increasingly important because great financial savings are possible because of it, and this especially happens in manufacturing where defective welds lead to losses in production and necessitate time consuming and expensive repair. This research deals with the monitor...

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Autores principales:	Nabeel K. Abid Al-Sahib, Osamah F. Abdulateef, Ahmed Samir Hamza
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2009
Materias:	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/edef65b6eefe4400b656a6df4fb9ace8
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spelling	oai:doaj.org-article:edef65b6eefe4400b656a6df4fb9ace82021-12-02T05:35:30ZThe Investigation of Monitoring Systems for SMAW Processes1818-11712312-0789https://doaj.org/article/edef65b6eefe4400b656a6df4fb9ace82009-09-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/564https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 The monitoring weld quality is increasingly important because great financial savings are possible because of it, and this especially happens in manufacturing where defective welds lead to losses in production and necessitate time consuming and expensive repair. This research deals with the monitoring and controllability of the fusion arc welding process using Artificial Neural Network (ANN) model. The effect of weld parameters on the weld quality was studied by implementing the experimental results obtained from welding a non-Galvanized steel plate ASTM BN 1323 of 6 mm thickness in different weld parameters (current, voltage, and travel speed) monitored by electronic systems that are followed by destructive (Tensile and Bending) and non-destructive (Hardness on HAZ) tests to investigate the quality control on the weld specimens. The experimental results obtained are then processed through the ANN model to control the welding process and predict the level of quality for different welding conditions. It has been deduced that the welding conditions (current, voltage, and travel speed) have a dominant factors that affect the weld quality and strength. Also we found that for certain welding condition, there was an optimum weld travel speed to obtain an optimum weld quality. The system supports quality control procedures and welding productivity without doing more periodic destructive mechanical test to dozens of samples. Nabeel K. Abid Al-SahibOsamah F. AbdulateefAhmed Samir HamzaAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 5, Iss 3 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Nabeel K. Abid Al-Sahib Osamah F. Abdulateef Ahmed Samir Hamza The Investigation of Monitoring Systems for SMAW Processes
description	The monitoring weld quality is increasingly important because great financial savings are possible because of it, and this especially happens in manufacturing where defective welds lead to losses in production and necessitate time consuming and expensive repair. This research deals with the monitoring and controllability of the fusion arc welding process using Artificial Neural Network (ANN) model. The effect of weld parameters on the weld quality was studied by implementing the experimental results obtained from welding a non-Galvanized steel plate ASTM BN 1323 of 6 mm thickness in different weld parameters (current, voltage, and travel speed) monitored by electronic systems that are followed by destructive (Tensile and Bending) and non-destructive (Hardness on HAZ) tests to investigate the quality control on the weld specimens. The experimental results obtained are then processed through the ANN model to control the welding process and predict the level of quality for different welding conditions. It has been deduced that the welding conditions (current, voltage, and travel speed) have a dominant factors that affect the weld quality and strength. Also we found that for certain welding condition, there was an optimum weld travel speed to obtain an optimum weld quality. The system supports quality control procedures and welding productivity without doing more periodic destructive mechanical test to dozens of samples.
format	article
author	Nabeel K. Abid Al-Sahib Osamah F. Abdulateef Ahmed Samir Hamza
author_facet	Nabeel K. Abid Al-Sahib Osamah F. Abdulateef Ahmed Samir Hamza
author_sort	Nabeel K. Abid Al-Sahib
title	The Investigation of Monitoring Systems for SMAW Processes
title_short	The Investigation of Monitoring Systems for SMAW Processes
title_full	The Investigation of Monitoring Systems for SMAW Processes
title_fullStr	The Investigation of Monitoring Systems for SMAW Processes
title_full_unstemmed	The Investigation of Monitoring Systems for SMAW Processes
title_sort	investigation of monitoring systems for smaw processes
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2009
url	https://doaj.org/article/edef65b6eefe4400b656a6df4fb9ace8
work_keys_str_mv	AT nabeelkabidalsahib theinvestigationofmonitoringsystemsforsmawprocesses AT osamahfabdulateef theinvestigationofmonitoringsystemsforsmawprocesses AT ahmedsamirhamza theinvestigationofmonitoringsystemsforsmawprocesses AT nabeelkabidalsahib investigationofmonitoringsystemsforsmawprocesses AT osamahfabdulateef investigationofmonitoringsystemsforsmawprocesses AT ahmedsamirhamza investigationofmonitoringsystemsforsmawprocesses
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The Investigation of Monitoring Systems for SMAW Processes

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