A machine vision system for laser welding of polymers

Z. Echegoven, A. Cenigaonaindia, Petri Laakso, F. Liebana

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The development of innovative laser based manufacturing techniques for polymer welding represents a significant advance in industrial manufacturing, in particular compared to other classical joining methods. Among the most relevant benefits can be mentioned: the increase of process repetitiveness, the facility to implement on-line process control systems, the reduction of the heat affected zone and the implementation of non-contact joining technologies in industrial manufacturing. The introduction of the laser scanner into manufacturing processes could facilitate the increase of productivity, as well as to combine design flexibility and high speed. However, a precise automatic positioning of the laser beam relative to the workpiece is still a challenge. In this work, we present a machine vision system for scanner-based laser welding with automatic calibration that allows precise welding of polymers. With this system we intend to reduce the complexity of the clamping devices, allowing some uncertainty in the plastic parts position that is corrected by machine vision techniques. This system was implemented for two types of camera configuration: external camera and coaxial camera. In the external configuration, the camera is positioned next to the scanner and takes an image of the whole workspace by a single camera shot. In the coaxial camera configuration, the camera view is related to the laser beam driving system and thus the camera image shows a neighbourhood of the scanner position. The positioning accuracy of the system was experimentally determined for white lighting and monochromatic red lighting. The obtained results show that the coaxial configuration allows an accuracy of some hundredths of millimetre while the accuracy for the external camera is in the order of tenths of millimetre.
Original languageEnglish
Title of host publicationProceedings of the 30th International Manufacturing Conference
EditorsGerry Byrne, Brid Mullany, Pat Connolly, Eamonn Ahearne, Naomi Green
PublisherUniversity College Dublin
ISBN (Print)978-1-9052-5475-0
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event30th International Manufacturing Conference, IMC30 - Dublin, Ireland
Duration: 3 Sep 20134 Sep 2013

Conference

Conference30th International Manufacturing Conference, IMC30
Abbreviated titleIMC30
CountryIreland
CityDublin
Period3/09/134/09/13

Fingerprint

Laser beam welding
Computer vision
Cameras
Polymers
Joining
Laser beams
Welding
Lighting
Plastic parts
Lasers
Clamping devices
Heat affected zone
Process control
Productivity
Calibration
Control systems

Keywords

  • laser welding
  • polymers joining
  • camera scanner calibration

Cite this

Echegoven, Z., Cenigaonaindia, A., Laakso, P., & Liebana, F. (2013). A machine vision system for laser welding of polymers. In G. Byrne, B. Mullany, P. Connolly, E. Ahearne, & N. Green (Eds.), Proceedings of the 30th International Manufacturing Conference [3033] University College Dublin.
Echegoven, Z. ; Cenigaonaindia, A. ; Laakso, Petri ; Liebana, F. / A machine vision system for laser welding of polymers. Proceedings of the 30th International Manufacturing Conference. editor / Gerry Byrne ; Brid Mullany ; Pat Connolly ; Eamonn Ahearne ; Naomi Green. University College Dublin, 2013.
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Echegoven, Z, Cenigaonaindia, A, Laakso, P & Liebana, F 2013, A machine vision system for laser welding of polymers. in G Byrne, B Mullany, P Connolly, E Ahearne & N Green (eds), Proceedings of the 30th International Manufacturing Conference., 3033, University College Dublin, 30th International Manufacturing Conference, IMC30, Dublin, Ireland, 3/09/13.

A machine vision system for laser welding of polymers. / Echegoven, Z.; Cenigaonaindia, A.; Laakso, Petri; Liebana, F.

Proceedings of the 30th International Manufacturing Conference. ed. / Gerry Byrne; Brid Mullany; Pat Connolly; Eamonn Ahearne; Naomi Green. University College Dublin, 2013. 3033.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - The development of innovative laser based manufacturing techniques for polymer welding represents a significant advance in industrial manufacturing, in particular compared to other classical joining methods. Among the most relevant benefits can be mentioned: the increase of process repetitiveness, the facility to implement on-line process control systems, the reduction of the heat affected zone and the implementation of non-contact joining technologies in industrial manufacturing. The introduction of the laser scanner into manufacturing processes could facilitate the increase of productivity, as well as to combine design flexibility and high speed. However, a precise automatic positioning of the laser beam relative to the workpiece is still a challenge. In this work, we present a machine vision system for scanner-based laser welding with automatic calibration that allows precise welding of polymers. With this system we intend to reduce the complexity of the clamping devices, allowing some uncertainty in the plastic parts position that is corrected by machine vision techniques. This system was implemented for two types of camera configuration: external camera and coaxial camera. In the external configuration, the camera is positioned next to the scanner and takes an image of the whole workspace by a single camera shot. In the coaxial camera configuration, the camera view is related to the laser beam driving system and thus the camera image shows a neighbourhood of the scanner position. The positioning accuracy of the system was experimentally determined for white lighting and monochromatic red lighting. The obtained results show that the coaxial configuration allows an accuracy of some hundredths of millimetre while the accuracy for the external camera is in the order of tenths of millimetre.

AB - The development of innovative laser based manufacturing techniques for polymer welding represents a significant advance in industrial manufacturing, in particular compared to other classical joining methods. Among the most relevant benefits can be mentioned: the increase of process repetitiveness, the facility to implement on-line process control systems, the reduction of the heat affected zone and the implementation of non-contact joining technologies in industrial manufacturing. The introduction of the laser scanner into manufacturing processes could facilitate the increase of productivity, as well as to combine design flexibility and high speed. However, a precise automatic positioning of the laser beam relative to the workpiece is still a challenge. In this work, we present a machine vision system for scanner-based laser welding with automatic calibration that allows precise welding of polymers. With this system we intend to reduce the complexity of the clamping devices, allowing some uncertainty in the plastic parts position that is corrected by machine vision techniques. This system was implemented for two types of camera configuration: external camera and coaxial camera. In the external configuration, the camera is positioned next to the scanner and takes an image of the whole workspace by a single camera shot. In the coaxial camera configuration, the camera view is related to the laser beam driving system and thus the camera image shows a neighbourhood of the scanner position. The positioning accuracy of the system was experimentally determined for white lighting and monochromatic red lighting. The obtained results show that the coaxial configuration allows an accuracy of some hundredths of millimetre while the accuracy for the external camera is in the order of tenths of millimetre.

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BT - Proceedings of the 30th International Manufacturing Conference

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PB - University College Dublin

ER -

Echegoven Z, Cenigaonaindia A, Laakso P, Liebana F. A machine vision system for laser welding of polymers. In Byrne G, Mullany B, Connolly P, Ahearne E, Green N, editors, Proceedings of the 30th International Manufacturing Conference. University College Dublin. 2013. 3033