Can a Black-Box AI Replace Costly DMA Testing?—A Case Study on Prediction and Optimization of Dynamic Mechanical Properties of 3D Printed Acrylonitrile Butadiene Styrene

The complex and non-linear nature of material properties evolution during 3D printing continues to make experimental optimization of Fused Deposition Modeling (FDM) costly, thus entailing the development of mathematical predictive models. This paper proposes a two-stage methodology based on coupling...

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Detalles Bibliográficos
Autores principales: Vahed, Ronak, Zareie Rajani, Hamid R., Milani, Abbas S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027203/
https://www.ncbi.nlm.nih.gov/pubmed/35454545
http://dx.doi.org/10.3390/ma15082855

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027203/
https://www.ncbi.nlm.nih.gov/pubmed/35454545
http://dx.doi.org/10.3390/ma15082855

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