Cargando…
Active learning for prediction of tensile properties for material extrusion additive manufacturing
Machine learning techniques were used to predict tensile properties of material extrusion-based additively manufactured parts made with Technomelt PA 6910, a hot melt adhesive. An adaptive data generation technique, specifically an active learning process based on the Gaussian process regression alg...
Autores principales: | Nasrin, Tahamina, Pourali, Masoumeh, Pourkamali-Anaraki, Farhad, Peterson, Amy M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349846/ https://www.ncbi.nlm.nih.gov/pubmed/37454171 http://dx.doi.org/10.1038/s41598-023-38527-6 |
Ejemplares similares
-
Predicting mechanical properties of material extrusion additive manufacturing-fabricated structures with limited information
por: Peterson, Amy M., et al.
Publicado: (2022) -
Influence of the Print Envelope Temperature on the Morphology and Tensile Properties of Thermoplastic Polyolefins Fabricated by Material Extrusion and Material Jetting Additive Manufacturing
por: Hentschel, Lukas, et al.
Publicado: (2023) -
Material Extrusion Additive Manufacturing with Polyethylene Vitrimers
por: Montoya-Ospina, Maria Camila, et al.
Publicado: (2023) -
Mechanical Properties and Applications of Recycled Polycarbonate Particle Material Extrusion-Based Additive Manufacturing
por: Reich, Matthew J., et al.
Publicado: (2019) -
Material Extrusion Additive Manufacturing of Wood and Lignocellulosic Filled Composites
por: Lamm, Meghan E., et al.
Publicado: (2020)