Trends in 3D Printing Technology for Construction Automation Using Text Mining (2019-04)¶
, Kim Hakmin, Sim Joonhyeok, Lee Dongmin, Cho Hunhee,
Journal Article - International Journal of Precision Engineering and Manufacturing, Vol. 20, Iss. 5, pp. 871-882
Abstract
3D printing technology, which enables mass production and customized small-volume production, has attracted widespread interest throughout many industries. Applying 3D printing within the construction industry has now been well researched. There are also studies that show research trends related to 3D printing in the construction industry. These studies have mainly referred to equipment, materials, and related software. However, they have discussed only specific fragmentary aspects such as the number of articles published per year or research trends by country. Therefore, this study aims to broaden the discussion by extracting keywords from papers published during the last 20 years that point to research trends in 3D printing, using text-mining-based relationship analysis. These results enable us to identify the necessary research fields for 3D printing in the construction industry of the future.
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BibTeX
@article{lee_kim_sim_lee.2019.Ti3PTfCAUTM,
author = "Dongyoun Lee and Hakmin Kim and Joonhyeok Sim and Dongmin Lee and Hunhee Cho and Daehie Hong",
title = "Trends in 3D Printing Technology for Construction Automation Using Text Mining",
doi = "10.1007/s12541-019-00117-w",
year = "2019",
journal = "International Journal of Precision Engineering and Manufacturing",
volume = "20",
number = "5",
pages = "871--882",
}
Formatted Citation
D. Lee, H. Kim, J. Sim, D. Lee, H. Cho and D. Hong, “Trends in 3D Printing Technology for Construction Automation Using Text Mining”, International Journal of Precision Engineering and Manufacturing, vol. 20, no. 5, pp. 871–882, 2019, doi: 10.1007/s12541-019-00117-w.
Lee, Dongyoun, Hakmin Kim, Joonhyeok Sim, Dongmin Lee, Hunhee Cho, and Daehie Hong. “Trends in 3D Printing Technology for Construction Automation Using Text Mining”. International Journal of Precision Engineering and Manufacturing 20, no. 5 (2019): 871–82. https://doi.org/10.1007/s12541-019-00117-w.