Online vision-based inspection system for thermoplastic hot plate welding in window frame manufacturing

Pablo Martinez Rodriguez; Mohamed Al-Hussein; Rafiq Ahmad

doi:10.1016/j.procir.2020.03.035

Online vision-based inspection system for thermoplastic hot plate welding in window frame manufacturing

Pablo Martinez Rodriguez, Mohamed Al-Hussein, Rafiq Ahmad^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

3 Downloads (Pure)

Abstract

Current manual quality control processes in continuous production environments are limited in impact and reliability. An online automatic inspection system is proposed to generate quality-oriented information regarding the welding of frames in window manufacturing. Using novel edge detection techniques and the Hough transform, a novel algorithm is presented to accurately estimate in real-time welding angles and the overall squareness of the window frame. The inspection system presented is integrated in an automated four-point welding machine and provides decision support to quality control operators regarding the conformity of welded frames. The system is validated in a real scenario and the proposed algorithm estimates welding angles and overall frame squareness with an accuracy of 98.38%, indicating an average error less than 0.8 degrees.

Original language	English
Pages (from-to)	1316-1321
Number of pages	6
Journal	Procedia CIRP
Volume	93
DOIs	https://doi.org/10.1016/j.procir.2020.03.035
Publication status	Published - 22 Sept 2020
Externally published	Yes

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1-s2.0-S2212827120306235-mainFinal published version, 830 KBLicence: CC BY-NC-ND

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@article{4eca7293352e47bb89d18ee6c4657ccc,

title = "Online vision-based inspection system for thermoplastic hot plate welding in window frame manufacturing",

abstract = "Current manual quality control processes in continuous production environments are limited in impact and reliability. An online automatic inspection system is proposed to generate quality-oriented information regarding the welding of frames in window manufacturing. Using novel edge detection techniques and the Hough transform, a novel algorithm is presented to accurately estimate in real-time welding angles and the overall squareness of the window frame. The inspection system presented is integrated in an automated four-point welding machine and provides decision support to quality control operators regarding the conformity of welded frames. The system is validated in a real scenario and the proposed algorithm estimates welding angles and overall frame squareness with an accuracy of 98.38%, indicating an average error less than 0.8 degrees.",

keywords = "inspection system, machine vision, thermoplastic welding, hot plate welding, window manufacturing",

author = "{Martinez Rodriguez}, Pablo and Mohamed Al-Hussein and Rafiq Ahmad",

note = "Funding information: The authors gratefully acknowledge the financial support of the Natural Sciences and Engineering Research Council of Canada (File No. IRCPJ 419145-15).",

year = "2020",

month = sep,

day = "22",

doi = "10.1016/j.procir.2020.03.035",

language = "English",

volume = "93",

pages = "1316--1321",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier",

}

TY - JOUR

T1 - Online vision-based inspection system for thermoplastic hot plate welding in window frame manufacturing

AU - Martinez Rodriguez, Pablo

AU - Al-Hussein, Mohamed

AU - Ahmad, Rafiq

N1 - Funding information: The authors gratefully acknowledge the financial support of the Natural Sciences and Engineering Research Council of Canada (File No. IRCPJ 419145-15).

PY - 2020/9/22

Y1 - 2020/9/22

N2 - Current manual quality control processes in continuous production environments are limited in impact and reliability. An online automatic inspection system is proposed to generate quality-oriented information regarding the welding of frames in window manufacturing. Using novel edge detection techniques and the Hough transform, a novel algorithm is presented to accurately estimate in real-time welding angles and the overall squareness of the window frame. The inspection system presented is integrated in an automated four-point welding machine and provides decision support to quality control operators regarding the conformity of welded frames. The system is validated in a real scenario and the proposed algorithm estimates welding angles and overall frame squareness with an accuracy of 98.38%, indicating an average error less than 0.8 degrees.

AB - Current manual quality control processes in continuous production environments are limited in impact and reliability. An online automatic inspection system is proposed to generate quality-oriented information regarding the welding of frames in window manufacturing. Using novel edge detection techniques and the Hough transform, a novel algorithm is presented to accurately estimate in real-time welding angles and the overall squareness of the window frame. The inspection system presented is integrated in an automated four-point welding machine and provides decision support to quality control operators regarding the conformity of welded frames. The system is validated in a real scenario and the proposed algorithm estimates welding angles and overall frame squareness with an accuracy of 98.38%, indicating an average error less than 0.8 degrees.

KW - inspection system

KW - machine vision

KW - thermoplastic welding

KW - hot plate welding

KW - window manufacturing

U2 - 10.1016/j.procir.2020.03.035

DO - 10.1016/j.procir.2020.03.035

M3 - Conference article

SN - 2212-8271

VL - 93

SP - 1316

EP - 1321

JO - Procedia CIRP

JF - Procedia CIRP

ER -

Online vision-based inspection system for thermoplastic hot plate welding in window frame manufacturing

Abstract

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