{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T21:34:45Z","timestamp":1762032885471,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2010,6,14]],"date-time":"2010-06-14T00:00:00Z","timestamp":1276473600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s100605962","type":"journal-article","created":{"date-parts":[[2010,6,14]],"date-time":"2010-06-14T11:40:21Z","timestamp":1276515621000},"page":"5962-5974","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Exploring Infrared Sensoring for Real Time Welding Defects Monitoring in GTAW"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0361-0555","authenticated-orcid":false,"given":"Sadek C. A.","family":"Alfaro","sequence":"first","affiliation":[{"name":"Automation and Control Group, Departamento de Engenharia Mec\u00e2nica\/Mecatr\u00f4nica, Faculdade de Tecnologia, The Brasilia University, Bras\u00edlia\u2013DF, CEP: 70910-900, Brazil"}]},{"given":"Fernand D\u00edaz","family":"Franco","sequence":"additional","affiliation":[{"name":"Automation and Control Group, Departamento de Engenharia Mec\u00e2nica\/Mecatr\u00f4nica, Faculdade de Tecnologia, The Brasilia University, Bras\u00edlia\u2013DF, CEP: 70910-900, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2010,6,14]]},"reference":[{"key":"ref_1","first-page":"181s","article-title":"Monitoring joint penetration using infrared sensing techniques","volume":"69","author":"Chen","year":"1990","journal-title":"Weld J"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1179\/stw.1999.4.1.15","article-title":"Identifying welding pool dynamics for GMA fillet welds","volume":"4","author":"Kerr","year":"1999","journal-title":"Scien. 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