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Cited by 159

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Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing

Open access
Doshi, Ashish, Smith, Ross T., Thomas, Bruce H., Bouras, Con·2017·The International Journal of Advanced Manufacturing Technology

Abstract

This paper presents the use of a projector-based spatial augmented reality system in an industrial quality assurance setting to highlight spot-weld locations on vehicle panels for manual welding operators. The aim of this work is to improve the precision and accuracy of manual spot-weld placements with the aid of visual cues as a proactive step by the automotive manufacturer to enhance product quality. The prototype system was deployed at General Motors (GM) Holden plant in Elizabeth, Australia on the production line building Holden Cruze vehicles. Production trials were conducted and techniques developed to analyse and validate the precision and accuracy of spot-welds both with and without the visual cues. A reduction of 52 % of the standard deviation of manual spot-weld placement was observed when using augmented reality visual cues. The average standard deviation with-AR assistance (19 panels and 114 spot-welds) was calculated at 1.94 mm compared to without-AR (45 panels and 270 spot-welds) at 4.08 mm. All welds were within the required specification and panels evaluated in this study were used as the final product made available to consumers. The visual cues enabled operators to spot-weld at a higher degree of precision and accuracy.

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Metadata

Authors
Doshi, A., Smith, R. T., Thomas, B. H., & Bouras, C.
Venue
The International Journal of Advanced Manufacturing Technology
Published
2016-07-25
Volume
89
Issue
5-8
Pages
1279-1293
ISSN
  • 0268-3768 (ISSN-L)
  • 1433-3015
OpenAlex
W2500057728
Cited by
159
References
1
FWCI
9.36
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing. https://app.cochat.ai/papers/10.1007/s00170-016-9164-5
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Doshi, A., Smith, R. T., Thomas, B. H., & Bouras, C. (2017). Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-016-9164-5

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