Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW

This paper presents an evaluation of an infrared sensor for monitoring the welding pool temperature in a Gas Tungsten Arc Welding (GTAW) process. The purpose of the study is to develop a real time system control. It is known that the arc welding pool temperature is related to the weld penetration de...

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Main Authors: Sadek C. A. Alfaro, Fernand Díaz Franco
Format: Article
Language:English
Published: MDPI AG 2010-06-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/6/5962/
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spelling doaj-e7cb3d3e292e4bb99d8d5f70e62f01422020-11-25T01:01:11ZengMDPI AGSensors1424-82202010-06-011065962597410.3390/s100605962Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAWSadek C. A. AlfaroFernand Díaz FrancoThis paper presents an evaluation of an infrared sensor for monitoring the welding pool temperature in a Gas Tungsten Arc Welding (GTAW) process. The purpose of the study is to develop a real time system control. It is known that the arc welding pool temperature is related to the weld penetration depth; therefore, by monitoring the temperature, the arc pool temperature and penetration depth are also monitored. Various experiments were performed; in some of them the current was varied and the temperature changes were registered, in others, defects were induced throughout the path of the weld bead for a fixed current. These simulated defects resulted in abrupt changes in the average temperature values, thus providing an indication of the presence of a defect. The data has been registered with an acquisition card. To identify defects in the samples under infrared emissions, the timing series were analyzed through graphics and statistic methods. The selection of this technique demonstrates the potential for infrared emission as a welding monitoring parameter sensor. http://www.mdpi.com/1424-8220/10/6/5962/Gas Tungsten Arc Weldingwelding monitoringinfraredstatistic methods
collection DOAJ
language English
format Article
sources DOAJ
author Sadek C. A. Alfaro
Fernand Díaz Franco
spellingShingle Sadek C. A. Alfaro
Fernand Díaz Franco
Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW
Sensors
Gas Tungsten Arc Welding
welding monitoring
infrared
statistic methods
author_facet Sadek C. A. Alfaro
Fernand Díaz Franco
author_sort Sadek C. A. Alfaro
title Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW
title_short Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW
title_full Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW
title_fullStr Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW
title_full_unstemmed Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW
title_sort exploring infrared sensoring for real time welding defects monitoring in gtaw
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2010-06-01
description This paper presents an evaluation of an infrared sensor for monitoring the welding pool temperature in a Gas Tungsten Arc Welding (GTAW) process. The purpose of the study is to develop a real time system control. It is known that the arc welding pool temperature is related to the weld penetration depth; therefore, by monitoring the temperature, the arc pool temperature and penetration depth are also monitored. Various experiments were performed; in some of them the current was varied and the temperature changes were registered, in others, defects were induced throughout the path of the weld bead for a fixed current. These simulated defects resulted in abrupt changes in the average temperature values, thus providing an indication of the presence of a defect. The data has been registered with an acquisition card. To identify defects in the samples under infrared emissions, the timing series were analyzed through graphics and statistic methods. The selection of this technique demonstrates the potential for infrared emission as a welding monitoring parameter sensor.
topic Gas Tungsten Arc Welding
welding monitoring
infrared
statistic methods
url http://www.mdpi.com/1424-8220/10/6/5962/
work_keys_str_mv AT sadekcaalfaro exploringinfraredsensoringforrealtimeweldingdefectsmonitoringingtaw
AT fernanddiazfranco exploringinfraredsensoringforrealtimeweldingdefectsmonitoringingtaw
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