journal article·2021-11Open access

Experimental and artificial neural network approach for prediction of dynamic mechanical behavior of sisal/glass hybrid composites

Heitor Luiz Ornaghi, Francisco M Monticeli, Roberta Motta Neves, Ademir José Zattera, Sandro Campos Amico

Polymers and Polymer Composites· Volume 29· Issue 9_suppl

Abstract

The dynamic mechanical behavior (storage modulus, loss modulus, and tan δ) of hybrid sisal/glass composites was investigated in the temperature range of 30–210 °C, for two different volume percentages of reinforcement along with the different ratios of sisal and glass fibers. Based on the experimental outcome, an artificial neural network (ANN) approach was used to predict the dynamic mechanical properties followed by a surface response methodology (SRM). The ANN analysis showed an excellent fit with the storage modulus, loss modulus, and tan δ experimental data. In addition, the fitted curves with the ANN approach were used to propose equations based on SRM. The simulation result has shown that the ANN is a potential mathematical tool for the structure–property correlation for polymer composites and may help researchers in the development and application of their data, reducing the need for long experimental campaigns.
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Research context

OpenAlex topics: Natural Fiber Reinforced Composites · Mechanical Engineering and Vibrations Research · Textile materials and evaluations

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Federal University for Latin American Integration (UNILA), Foz do Iguaçu, Brazil

Department of Materials and Technology, School of Engineering, São Paulo State University (Unesp), Guaratinguetá, Brazil

Postgraduate Program in Mining, Metallurgical and Materials Engineering (PPGE3M), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

Postgraduate Program in Engineering of Processes and Technologies (PGEPROTEC), University of Caxias do Sul (UCS), Caxias do Sul, Brazil

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo · Coordenação de Aperfeiçoamento de Pessoal de Nível Superior · Conselho Nacional de Desenvolvimento Científico e Tecnológico

References (32)

Show source-provided references
1. 10.1080/09506608.2018.146736510.1080/09506608.2018.1467365 ↗
2. 10.1177/002199831986851210.1177/0021998319868512 ↗
3. 10.1016/j.coco.2020.04.00610.1016/j.coco.2020.04.006 ↗
4. 10.1016/j.compositesa.2019.10555510.1016/j.compositesa.2019.105555 ↗
5. 10.1080/15440478.2016.119309110.1080/15440478.2016.1193091 ↗
6. 10.1016/j.compositesb.2019.10714910.1016/j.compositesb.2019.107149 ↗
7. 10.1016/j.compositesb.2019.03.04610.1016/j.compositesb.2019.03.046 ↗
8. 10.1016/j.compositesb.2016.02.05110.1016/j.compositesb.2016.02.051 ↗
9. 10.1177/089270571881635410.1177/0892705718816354 ↗
10. 10.1016/j.rinp.2019.10231910.1016/j.rinp.2019.102319 ↗
11. 10.1002/pc.2509010.1002/pc.25090 ↗
12. 10.3934/matersci.2018.2.32010.3934/matersci.2018.2.320 ↗
13. 10.1016/j.matdes.2012.05.04410.1016/j.matdes.2012.05.044 ↗
14. 10.1016/j.msea.2011.05.07810.1016/j.msea.2011.05.078 ↗
15. 10.1088/2053-1591/ab70e210.1088/2053-1591/ab70e2 ↗
16. 10.1007/s00289-021-03594-010.1007/s00289-021-03594-0 ↗
17. 10.1177/2633366X2092285610.1177/2633366X20922856 ↗
18. 10.1007/978-1-4615-0377-4_510.1007/978-1-4615-0377-4_5 ↗
19. 10.1002/app.3238810.1002/app.32388 ↗
20. 10.1016/S0266-3538(02)00225-710.1016/S0266-3538(02)00225-7 ↗
21. 10.1002/pen.2570210.1002/pen.25702 ↗
22. 10.1149/1.242817410.1149/1.2428174 ↗
23. 10.1002/app.1973.07017010410.1002/app.1973.070170104 ↗
24. 10.1016/j.compscitech.2004.10.02310.1016/j.compscitech.2004.10.023 ↗
25. 10.1177/073168440910307510.1177/0731684409103075 ↗
26. 10.1590/S1516-1439201200500005010.1590/S1516-14392012005000050 ↗
27. 10.1177/073168441881365010.1177/0731684418813650 ↗
28. 10.5028/jatm.2010.0202651010.5028/jatm.2010.02026510 ↗
29. 10.1002/app.2235610.1002/app.22356 ↗
30. 10.1016/J.MATDES.2008.05.01910.1016/J.MATDES.2008.05.019 ↗
31. 10.1016/S0266-3538(03)00084-810.1016/S0266-3538(03)00084-8 ↗
32. 10.1016/j.compositesa.2020.10603610.1016/j.compositesa.2020.106036 ↗