Accelerated aging on the compression properties of a green polyurethane foam: experimental and numerical analysis (2023)
- Authors:
- USP affiliated authors: RIBEIRO, MARCELO LEITE - EESC ; SILVA, ÊNIO HENRIQUE PIRES DA - EESC
- Unidade: EESC
- DOI: 10.3390/polym15071784
- Subjects: SUSTENTABILIDADE; POLÍMEROS (MATERIAIS); ENGENHARIA AERONÁUTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: MDPI AG
- Publisher place: Basel, Switzerland
- Date published: 2023
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SILVA, Ênio Henrique Pires da et al. Accelerated aging on the compression properties of a green polyurethane foam: experimental and numerical analysis. Polymers, v. 15, n. 7, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.3390/polym15071784. Acesso em: 04 jan. 2026. -
APA
Silva, Ê. H. P. da, Barros, S. de, Vieira, A. F. C., Costa, R. R. C. da, & Ribeiro, M. L. (2023). Accelerated aging on the compression properties of a green polyurethane foam: experimental and numerical analysis. Polymers, 15( 7), 1-18. doi:10.3390/polym15071784 -
NLM
Silva ÊHP da, Barros S de, Vieira AFC, Costa RRC da, Ribeiro ML. Accelerated aging on the compression properties of a green polyurethane foam: experimental and numerical analysis [Internet]. Polymers. 2023 ; 15( 7): 1-18.[citado 2026 jan. 04 ] Available from: https://doi.org/10.3390/polym15071784 -
Vancouver
Silva ÊHP da, Barros S de, Vieira AFC, Costa RRC da, Ribeiro ML. Accelerated aging on the compression properties of a green polyurethane foam: experimental and numerical analysis [Internet]. Polymers. 2023 ; 15( 7): 1-18.[citado 2026 jan. 04 ] Available from: https://doi.org/10.3390/polym15071784 - Data generation and deep neural network predictions for aged mechanical properties
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Informações sobre o DOI: 10.3390/polym15071784 (Fonte: oaDOI API)
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