The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing
Open accessAbstract
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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Cites
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373
Cited by
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Ghobakhloo, M. (2018) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2018-0057 · Cited by 1,381
Augmented reality technology in the manufacturing industry: A review of the last decade
Bottani, E., & Vignali, G. (2019) · IISE Transactions · doi:10.1080/24725854.2018.1493244 · Cited by 441
A survey of industrial augmented reality
de Souza Cardoso, L. F., Mariano, F. C. M. Q., & Zorzal, E. R. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2019.106159 · Cited by 322
Laviola, E., Gattullo, M., Manghisi, V. M., Fiorentino, M., & Uva, A. E. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-08449-6 · Cited by 79
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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- 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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.