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Research on the Weld Position Detection for the T-Joints in Web-Core Sandwich Panels Based on Eddy Current Technology
Web-core sandwich panels have gained the popularity in various fields, especially aviation and shipbuilding, etc. Penetration welding was considered as an effective process to manufacture such a structure through a T-joint. To ensure the formation quality and mechanical properties of weld, the weldi...
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Published in: | Sensors (Basel, Switzerland) Switzerland), 2020-05, Vol.20 (9), p.2691 |
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description | Web-core sandwich panels have gained the popularity in various fields, especially aviation and shipbuilding, etc. Penetration welding was considered as an effective process to manufacture such a structure through a T-joint. To ensure the formation quality and mechanical properties of weld, the welding torch needs to be aligned with the T-joint position. However, it is difficult to locate the T-joint position (i.e., the position of core panel) because of the shielding of the face panels. This paper investigated the detection of T-joint position from the face panel side in web-core sandwich panels based on eddy current technology. First, we designed an experimental system for the weld position detection of T-joints from the face panel side. The relationships are investigated between the characteristics of the eddy current detection signal and the primary parameters of the detection system (including excitation frequency, coil outer diameter, and lift off distance) and the T-joint (including thickness of the core panel, gap distance, and thickness of the cover panel). Corresponding experiments were carried out with variable primary parameters, and the influence mechanism of the primary parameters on the detection results in terms of sensitivity and dynamic performance was elaborated to set up the theoretical basis for the detection. Finally, weld position detection experiments were carried out on TC4 titanium alloy T-joint specimens with 3 mm-thick face panel and 5 mm-thick core panel. Results showed that the maximum detection error was 0.482 mm, and the average error was 0.234 mm. This paper provided a possible technical solution to the automatic tracking problem for the welding of T-joints in the web-core sandwich panels. |
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To ensure the formation quality and mechanical properties of weld, the welding torch needs to be aligned with the T-joint position. However, it is difficult to locate the T-joint position (i.e., the position of core panel) because of the shielding of the face panels. This paper investigated the detection of T-joint position from the face panel side in web-core sandwich panels based on eddy current technology. First, we designed an experimental system for the weld position detection of T-joints from the face panel side. The relationships are investigated between the characteristics of the eddy current detection signal and the primary parameters of the detection system (including excitation frequency, coil outer diameter, and lift off distance) and the T-joint (including thickness of the core panel, gap distance, and thickness of the cover panel). Corresponding experiments were carried out with variable primary parameters, and the influence mechanism of the primary parameters on the detection results in terms of sensitivity and dynamic performance was elaborated to set up the theoretical basis for the detection. Finally, weld position detection experiments were carried out on TC4 titanium alloy T-joint specimens with 3 mm-thick face panel and 5 mm-thick core panel. Results showed that the maximum detection error was 0.482 mm, and the average error was 0.234 mm. This paper provided a possible technical solution to the automatic tracking problem for the welding of T-joints in the web-core sandwich panels.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s20092691</identifier><identifier>PMID: 32397323</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Aluminum alloys ; Automatic welding ; eddy current technology ; Eddy currents ; Error detection ; Lasers ; Magnetic fields ; Mechanical properties ; Methods ; Parameter sensitivity ; Sandwich panels ; Sandwich structures ; Sensors ; Shielding ; Shipbuilding ; T-joint welded from face-panel side ; Tee joints ; Thickness ; Titanium alloys ; web-core sandwich panels ; weld position detection ; X-rays</subject><ispartof>Sensors (Basel, Switzerland), 2020-05, Vol.20 (9), p.2691</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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Corresponding experiments were carried out with variable primary parameters, and the influence mechanism of the primary parameters on the detection results in terms of sensitivity and dynamic performance was elaborated to set up the theoretical basis for the detection. Finally, weld position detection experiments were carried out on TC4 titanium alloy T-joint specimens with 3 mm-thick face panel and 5 mm-thick core panel. Results showed that the maximum detection error was 0.482 mm, and the average error was 0.234 mm. 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Chang, Baohua ; Meng, Fanyue ; Du, Dong ; Han, Zandong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c429t-5af01f34aceed2d4eac1332d2c907d77a3f49e448aa965e9b0c756544c3325643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aluminum alloys</topic><topic>Automatic welding</topic><topic>eddy current technology</topic><topic>Eddy currents</topic><topic>Error detection</topic><topic>Lasers</topic><topic>Magnetic fields</topic><topic>Mechanical properties</topic><topic>Methods</topic><topic>Parameter sensitivity</topic><topic>Sandwich panels</topic><topic>Sandwich structures</topic><topic>Sensors</topic><topic>Shielding</topic><topic>Shipbuilding</topic><topic>T-joint welded from face-panel side</topic><topic>Tee joints</topic><topic>Thickness</topic><topic>Titanium alloys</topic><topic>web-core sandwich panels</topic><topic>weld position detection</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Angang</creatorcontrib><creatorcontrib>Chang, Baohua</creatorcontrib><creatorcontrib>Meng, Fanyue</creatorcontrib><creatorcontrib>Du, Dong</creatorcontrib><creatorcontrib>Han, Zandong</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Angang</au><au>Chang, Baohua</au><au>Meng, Fanyue</au><au>Du, Dong</au><au>Han, Zandong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on the Weld Position Detection for the T-Joints in Web-Core Sandwich Panels Based on Eddy Current Technology</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><addtitle>Sensors (Basel)</addtitle><date>2020-05-08</date><risdate>2020</risdate><volume>20</volume><issue>9</issue><spage>2691</spage><pages>2691-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>Web-core sandwich panels have gained the popularity in various fields, especially aviation and shipbuilding, etc. Penetration welding was considered as an effective process to manufacture such a structure through a T-joint. 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Corresponding experiments were carried out with variable primary parameters, and the influence mechanism of the primary parameters on the detection results in terms of sensitivity and dynamic performance was elaborated to set up the theoretical basis for the detection. Finally, weld position detection experiments were carried out on TC4 titanium alloy T-joint specimens with 3 mm-thick face panel and 5 mm-thick core panel. Results showed that the maximum detection error was 0.482 mm, and the average error was 0.234 mm. This paper provided a possible technical solution to the automatic tracking problem for the welding of T-joints in the web-core sandwich panels.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32397323</pmid><doi>10.3390/s20092691</doi><orcidid>https://orcid.org/0000-0003-3281-8686</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aluminum alloys Automatic welding eddy current technology Eddy currents Error detection Lasers Magnetic fields Mechanical properties Methods Parameter sensitivity Sandwich panels Sandwich structures Sensors Shielding Shipbuilding T-joint welded from face-panel side Tee joints Thickness Titanium alloys web-core sandwich panels weld position detection X-rays |
title | Research on the Weld Position Detection for the T-Joints in Web-Core Sandwich Panels Based on Eddy Current Technology |
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