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Research Article

Influence of multi-walled carbon nanotubes on tensile and flexural properties of polyamide 66/short glass fiber composites

Özgür Demircan1,2, Fatma Burcu Uzunoğlu2, Naser Rezaei Ansaroudi1

1Department of Metallurgical and Material Engineering, Ondokuz Mayıs University, Samsun, Turkey       

2Department of Nanoscience and Nanotechnology, Ondokuz Mayıs University, Samsun, Turkey

Keywords

Abstract

Composite material;

Thermoplastics;

Polymer Nanocomposite;

Polyamide 66;

Glass fiber;

Carbon nanotube;

Plastic injection moulding


In this study, influence of multi-walled carbon nanotubes (MWCNTs) on tensile and flexural behaviour of 15% short glass fiber (SGF) reinforced Polyamide 66 (PA 66/15SGF) and 30% short glass fiber reinforced Polyamide 66 (PA 66/30SGF) is investigated. Test specimens composed of neat PA 66, PA 66/15SGF, PA 66/30SGF and PA 66/30SGF/MWCNTs are produced using plastic injection moulding machine; and their tensile and flexural properties are characterized. The effects of MWCNTs contents on the micro-structure and morphology of the composites were investigated by using a scanning electron microscope (SEM), fourier transform infrared spectroscopy analysis (FTIR) and optical microscopy (OM). Mechanical analyses reveal that neat PA 66 exhibits the lowest elastic modulus, 2.11 GPa, and tensile strength, 60.61 MPa, while the highest tensile modulus, 4.69 GPa, and strength, 87.05 MPa, are exhibited by PA 66/30SGF/MWCNT and PA 66/30SGF, respectively. In other words, with the addition of MWCNT, tensile strength of PA 66/30SGF decreases by 13.4 % whereas the elastic modulus increases by nearly 4.7 %. In addition, flexural test results shows that the integration of MWCNTs improves the flexural strength and flexural modulus of PA 66/30SGF by 1% and 12%, respectively.

© 2022 MIM Research Group. All rights reserved.

DOI:http://dx.doi.org/10.17515/resm2022.443ma0607                    Full Text


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LATEST News


27/12/2022 Reviewer Awards: The winners of 2022 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section. 


23/12/2022 Best Paper Award: According to the Advisory Board decision, the paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 2022 Best Paper Award of Research on Engineering Structures and Materials (RESM). 

23/12/2022 Most Cited Paper Award:  According to the Editorial Board evaluation, the paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the 2022 Most Cited Paper Award of Research on Engineering Structures and Materials (RESM). 


13/04/2022 Fraudulent Emails Impersonating Our Journal: We noticed that some emails are sent to some people impersonating our journal staff as sender and requesting recipients to follow some links. Our journal and staff has nothing to do with these emails and please do not follow the given links. Senders seem to have malicious aims. The emails include a portion of some of our previous emails to the journal users and researchers. This is only to deceive the receiver and make them trust the email. Do not follow any links or perform suspicious actions specified in these emails. Please, check the sender info carefully. Even the sender address or name resembles the journal related words they are different, generally in an easily noticeable way.


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LATEST AWARDS


2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.


2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 


2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the


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