Advances in nano research

  • 제15권4호
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  • Pages.315-328
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  • 2023
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  • 2287-237X(pISSN)
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  • 2287-2388(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Predicting ESP and HNT effects on the mechanical properties of eco-friendly composites subjected to micro-indentation test

  • Saeed Kamarian (Department of Mechanical Engineering, Changwon National University) ;
  • Ali Khalvandi (Composites Research Laboratory (CRLab), Amirkabir University of Technology) ;
  • Thanh Mai Nguyen Tran (Department of Mechanical Engineering, Changwon National University) ;
  • Reza Barbaz-Isfahani (Composites Research Laboratory (CRLab), Amirkabir University of Technology) ;
  • Saeed Saber-Samandari (Composites Research Laboratory (CRLab), Amirkabir University of Technology) ;
  • Jung-Il Song (Department of Mechanical Engineering, Changwon National University)
  • 투고 : 2022.06.11
  • 심사 : 2023.01.26
  • 발행 : 2023.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

The main goal of the present study was to assess the effects of eggshell powder (ESP) and halloysite nanotubes (HNTs) on the mechanical properties of abaca fiber (AF)-reinforced natural composites. For this purpose, a limited number of indentation tests were first performed on the AF/polypropylene (PP) composites for different HNT and ESP loadings (0 wt.% ~ 6 wt.%), load amplitudes (150, 200, and 250 N), and two types of indenters (Vickers or conical). The Young's modulus, hardness and plasticity index of each specimen were calculated using the indentation test results and Oliver-Pharr method. The accuracy of the experimental results was confirmed by comparing the values of the Young's modulus obtained from the indentation test with the results of the conventional tensile test. Then, a feed-forward shallow artificial neural network (ANN) with high efficiency was trained based on the obtained experimental data. The trained ANN could properly predict the variations of the mentioned mechanical properties of AF/PP composites incorporated with different HNT and ESP loadings. Furthermore, the trained ANN demonstrated that HNTs increase the elastic modulus and hardness of the composite, while the incorporation of ESP reduces these properties. For instance, the Young's modulus of composites incorporated with 3 wt.% of ESP decreased by 30.7% compared with the pure composite, while increasing the weight fraction of ESP up to 6% decreased the Young's modulus by 34.8%. Moreover, the trained ANN indicated that HNTs have a more significant effect on reducing the plasticity index than ESP.

키워드

과제정보

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2018R1A6A1A03024509).

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