Nominal elastic modulus assessment in 3D-printed components under varying printing parameters using Bayesian methods and random forest surrogate modeling

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Publicado en:	PLoS One vol. 20, no. 12 (Dec 2025), p. e0338204
Autor principal:	Zhang, Jin
Otros Autores:	Lu, Lili, Feng, Ping, Zhu, Ting
Publicado:	Public Library of Science
Materias:	Mechanical properties Fused deposition modeling Structural engineering Accuracy Markov chains Nondestructive testing Boundary conditions Material properties Elastic properties Parameter identification Calibration Printed materials Structural design Modal analysis Three dimensional printing Manufacturing Modal assurance criterion Structural forms Bayesian analysis Composite materials Cantilever beams Destructive testing Shear tests Costs Modulus of elasticity Rapid prototyping Porous materials 3-D printers Methods Parameters Markov analysis Model updating Environmental
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