期刊
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
卷 69, 期 4, 页码 1135-1145出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2020.2975988
关键词
Patents; Market research; Hidden Markov models; Three-dimensional printing; Research and development; Technological innovation; Latent dirichlet allocation (LDA); patents analysis; technology forecasting; 3-D printing; topic model
资金
- National Natural Science Foundation of China [71704007]
- Natural Science Foundation of Heilongjiang Province of China [LH2019G003]
- Philosophical and Social Science Program of Heilongjiang Province of China [18GLB022]
- National Social Science Foundation of China [19CJY048]
In this article, a combination method is proposed to identify the technological terms and topics in patents related to 3-D printing. It also analyzes the distribution and evolution pattern of these topics. Based on the results, future R&D hotspots and key topics for technological evolution in 3-D printing are identified.
3-D printing is an additive manufacturing process, which enables products to be custom designed. Obtaining the evolution trend and identifying the potential R&D hotspots of 3-D printing technology are important strategic issues for both nations and enterprises. In this article, a combination method is proposed using the Viterbi algorithm to identify technological terms in patents, using the latent Dirichlet allocation model to capture potential technological topics in patents, and using the hidden Markov model to analyze the distribution and evolution pattern of the technological topics. Based on the results, technological topics and future R&D hotspots in 3-D printing are identified. Among the technological topics, extrusion devices and laser powder molding are gradually losing R & D; model acquisition, extrusion devices, rotary printing, and denture are the key topics of technological evolution that are difficult to overcome; laser focusing, print head, color printing, recyclable, feeding, control panel, and denture will become the focus of R&D in the near future. Finally, a comparison and experiments are given to demonstrate the plausibility of our method.
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