Trends in 3D Printing Technology for Construction Automation Using Text Mining

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...

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Veröffentlicht in:International journal of precision engineering and manufacturing 2019-05, Vol.20 (5), p.871-882
Hauptverfasser: Lee, Dongyoun, Kim, Hakmin, Sim, Joonhyeok, Lee, Dongmin, Cho, Hunhee, Hong, Daehie
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container_end_page 882
container_issue 5
container_start_page 871
container_title International journal of precision engineering and manufacturing
container_volume 20
creator Lee, Dongyoun
Kim, Hakmin
Sim, Joonhyeok
Lee, Dongmin
Cho, Hunhee
Hong, Daehie
description 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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source Springer Nature - Complete Springer Journals
subjects 3-D printers
Construction industry
Engineering
Industrial and Production Engineering
Mass production
Materials Science
Review Paper
Three dimensional printing
Trends
Year in review
title Trends in 3D Printing Technology for Construction Automation Using Text Mining
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