Nominal elastic modulus assessment in 3D-printed components under varying printing parameters using Bayesian methods and random forest surrogate modeling.
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| Title: | Nominal elastic modulus assessment in 3D-printed components under varying printing parameters using Bayesian methods and random forest surrogate modeling. |
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| Authors: | Zhang J; College of Art Design, The College of Post and Telecommunication of WIT, Wuhan, Hubei, China., Lu L; Wuhan Huaxia University of Technology, Wuhan, China., Feng P; Wuhan Police Vocational College, Wuhan, China., Zhu T; College of Art Design, The College of Post and Telecommunication of WIT, Wuhan, Hubei, China. |
| Source: | PloS one [PLoS One] 2025 Dec 05; Vol. 20 (12), pp. e0338204. Date of Electronic Publication: 2025 Dec 05 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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