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

6 Citations (Scopus)

19 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

Keywords

inspection system
machine vision
thermoplastic welding
hot plate welding
window manufacturing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procir.2020.03.035Licence: CC BY-NC-ND

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

Cite this

@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 B.V.",

}

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

UR - https://www.scopus.com/pages/publications/85092435416

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

Keywords

UN SDGs

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