Abstract

Traditionally fusion welding of manufactured components ‎and quality control inspection of such welds are distinctly ‎separate processes in the supply chain, which ultimately limit ‎productivity, throughput and increase re-work. The concept of ‎combining both of these practices directly at the point of ‎manufacture offers the potential to produce superior, globally-‎efficient fabrications. This paper presents the results of a study ‎investigating such a strategy, where a multi-pass weld is ‎autonomously deposited and, in parallel, an autonomous ‎inspection is deployed for real-time Non-Destructive ‎Evaluation (NDE). A real-time sector scan is implemented after ‎each of 21 weld passes and in three inspection positions, i.e., ‎the first position is 50 mm from the weld start, the second ‎‎being in the center of the weld length and the last is 50 ‎mm ‎distance to the weld endpoint. ‎Only in the second position, an ‏intentionally embedded defect, a tungsten rod, is introduced ‎into the multi-pass weld to allow subsequent in-process ‎calibration and verification. Based on the phased array ‎inspection results, the tungsten ‎rod is successfully detected in ‎the real-time NDE of the deposited ‎position. Furthermore, the ‎reflection ‎due to the partially ‎filled groove is captured during ‎the ‎inspection of the filling ‎passes. ‎

Conference

Conference‎46th Review of Progress in Quantitative Nondestructive Evaluation Conference
Abbreviated titleQNDE 2019
CountryUnited States
CityPortland
Period14/07/1918/07/19
Internet address

Fingerprint

Welding
Welds
Robotics
Inspection
Tungsten
Supply chains
Quality control
Fusion reactions
Productivity
Throughput
Calibration
Fabrication
Defects

Keywords

  • weld inspection‎
  • in-process NDE
  • real-time Inspection‎
  • ultrasonic phased array‎

Cite this

Javadi, Y., MacLeod, C., Lines, D., Vasilev, M., Mohseni, E., Foster, E., ... Gachagan, A. (2019). In-process inspection of multi-pass robotic welding. Paper presented at ‎46th Review of Progress in Quantitative Nondestructive Evaluation Conference, Portland, United States.
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title = "In-process inspection of multi-pass robotic welding",
abstract = "Traditionally fusion welding of manufactured components ‎and quality control inspection of such welds are distinctly ‎separate processes in the supply chain, which ultimately limit ‎productivity, throughput and increase re-work. The concept of ‎combining both of these practices directly at the point of ‎manufacture offers the potential to produce superior, globally-‎efficient fabrications. This paper presents the results of a study ‎investigating such a strategy, where a multi-pass weld is ‎autonomously deposited and, in parallel, an autonomous ‎inspection is deployed for real-time Non-Destructive ‎Evaluation (NDE). A real-time sector scan is implemented after ‎each of 21 weld passes and in three inspection positions, i.e., ‎the first position is 50 mm from the weld start, the second ‎‎being in the center of the weld length and the last is 50 ‎mm ‎distance to the weld endpoint. ‎Only in the second position, an ‏intentionally embedded defect, a tungsten rod, is introduced ‎into the multi-pass weld to allow subsequent in-process ‎calibration and verification. Based on the phased array ‎inspection results, the tungsten ‎rod is successfully detected in ‎the real-time NDE of the deposited ‎position. Furthermore, the ‎reflection ‎due to the partially ‎filled groove is captured during ‎the ‎inspection of the filling ‎passes. ‎",
keywords = "weld inspection‎, in-process NDE, real-time Inspection‎, ultrasonic phased array‎",
author = "Yashar Javadi and Charles MacLeod and David Lines and Momchil Vasilev and Ehsan Mohseni and Euan Foster and Zhen Qiu and Randika Vithanage and Rastislav Zimermann and Charalampos Loukas and Gareth Pierce and Anthony Gachagan",
year = "2019",
month = "7",
day = "18",
language = "English",
note = "‎46th Review of Progress in Quantitative Nondestructive Evaluation Conference, QNDE 2019 ; Conference date: 14-07-2019 Through 18-07-2019",
url = "http://event.asme.org/QNDE-2019",

}

Javadi, Y, MacLeod, C, Lines, D, Vasilev, M, Mohseni, E, Foster, E, Qiu, Z, Vithanage, R, Zimermann, R, Loukas, C, Pierce, G & Gachagan, A 2019, 'In-process inspection of multi-pass robotic welding' Paper presented at ‎46th Review of Progress in Quantitative Nondestructive Evaluation Conference, Portland, United States, 14/07/19 - 18/07/19, .

In-process inspection of multi-pass robotic welding. / Javadi, Yashar; MacLeod, Charles; Lines, David; Vasilev, Momchil; Mohseni, Ehsan; Foster, Euan; Qiu, Zhen; Vithanage, Randika ; Zimermann, Rastislav; Loukas, Charalampos; Pierce, Gareth; Gachagan, Anthony.

2019. Paper presented at ‎46th Review of Progress in Quantitative Nondestructive Evaluation Conference, Portland, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - In-process inspection of multi-pass robotic welding

AU - Javadi, Yashar

AU - MacLeod, Charles

AU - Lines, David

AU - Vasilev, Momchil

AU - Mohseni, Ehsan

AU - Foster, Euan

AU - Qiu, Zhen

AU - Vithanage, Randika

AU - Zimermann, Rastislav

AU - Loukas, Charalampos

AU - Pierce, Gareth

AU - Gachagan, Anthony

PY - 2019/7/18

Y1 - 2019/7/18

N2 - Traditionally fusion welding of manufactured components ‎and quality control inspection of such welds are distinctly ‎separate processes in the supply chain, which ultimately limit ‎productivity, throughput and increase re-work. The concept of ‎combining both of these practices directly at the point of ‎manufacture offers the potential to produce superior, globally-‎efficient fabrications. This paper presents the results of a study ‎investigating such a strategy, where a multi-pass weld is ‎autonomously deposited and, in parallel, an autonomous ‎inspection is deployed for real-time Non-Destructive ‎Evaluation (NDE). A real-time sector scan is implemented after ‎each of 21 weld passes and in three inspection positions, i.e., ‎the first position is 50 mm from the weld start, the second ‎‎being in the center of the weld length and the last is 50 ‎mm ‎distance to the weld endpoint. ‎Only in the second position, an ‏intentionally embedded defect, a tungsten rod, is introduced ‎into the multi-pass weld to allow subsequent in-process ‎calibration and verification. Based on the phased array ‎inspection results, the tungsten ‎rod is successfully detected in ‎the real-time NDE of the deposited ‎position. Furthermore, the ‎reflection ‎due to the partially ‎filled groove is captured during ‎the ‎inspection of the filling ‎passes. ‎

AB - Traditionally fusion welding of manufactured components ‎and quality control inspection of such welds are distinctly ‎separate processes in the supply chain, which ultimately limit ‎productivity, throughput and increase re-work. The concept of ‎combining both of these practices directly at the point of ‎manufacture offers the potential to produce superior, globally-‎efficient fabrications. This paper presents the results of a study ‎investigating such a strategy, where a multi-pass weld is ‎autonomously deposited and, in parallel, an autonomous ‎inspection is deployed for real-time Non-Destructive ‎Evaluation (NDE). A real-time sector scan is implemented after ‎each of 21 weld passes and in three inspection positions, i.e., ‎the first position is 50 mm from the weld start, the second ‎‎being in the center of the weld length and the last is 50 ‎mm ‎distance to the weld endpoint. ‎Only in the second position, an ‏intentionally embedded defect, a tungsten rod, is introduced ‎into the multi-pass weld to allow subsequent in-process ‎calibration and verification. Based on the phased array ‎inspection results, the tungsten ‎rod is successfully detected in ‎the real-time NDE of the deposited ‎position. Furthermore, the ‎reflection ‎due to the partially ‎filled groove is captured during ‎the ‎inspection of the filling ‎passes. ‎

KW - weld inspection‎

KW - in-process NDE

KW - real-time Inspection‎

KW - ultrasonic phased array‎

UR - http://event.asme.org/QNDE-2019

M3 - Paper

ER -

Javadi Y, MacLeod C, Lines D, Vasilev M, Mohseni E, Foster E et al. In-process inspection of multi-pass robotic welding. 2019. Paper presented at ‎46th Review of Progress in Quantitative Nondestructive Evaluation Conference, Portland, United States.