Tensile strength of carbon‐nanotube‐based nanocomposites by the effective characteristics of interphase area nearby the filler network

2021 ◽  
Author(s):  
Yasser Zare ◽  
Kyong Yop Rhee ◽  
Soo‐Jin Park
Keyword(s):  
Tensile Strength ◽  
Carbon Nanotube ◽  
Effective Characteristics ◽  
Filler Network

scholarly journals Influence of Defect Number, Distribution Continuity and Orientation on Tensile Strengths of the CNT-Based Networks: A Molecular Dynamics Study

2022 ◽  
Vol 17 (1) ◽  
Author(s):  
Xian Shi ◽  
Xiaoqiao He ◽  
Ligang Sun ◽  
Xuefeng Liu
Keyword(s):  
Mechanical Properties ◽  
Molecular Dynamics ◽  
Tensile Strength ◽  
Carbon Nanotube ◽  
Electronic Devices ◽  
Underlying Mechanism ◽  
Force Transmission ◽  
Tensile Direction ◽  
Defect Number ◽  
Number Distribution

Abstract Networks based on carbon nanotube (CNT) have been widely utilized to fabricate flexible electronic devices, but defects inevitably exist in these structures. In this study, we investigate the influence of the CNT-unit defects on the mechanical properties of a honeycomb CNT-based network, super carbon nanotube (SCNT), through molecular dynamics simulations. Results show that tensile strengths of the defective SCNTs are affected by the defect number, distribution continuity and orientation. Single-defect brings 0 ~ 25% reduction of the tensile strength with the dependency on defect position and the reduction is over 50% when the defect number increases to three. The distribution continuity induces up to 20% differences of tensile strengths for SCNTs with the same defect number. A smaller arranging angle of defects to the tensile direction leads to a higher tensile strength. Defective SCNTs possess various modes of stress concentration with different concentration degrees under the combined effect of defect number, arranging direction and continuity, for which the underlying mechanism can be explained by the effective crack length of the fracture mechanics. Fundamentally, the force transmission mode of the SCNT controls the influence of defects and the cases that breaking more force transmission paths cause larger decreases of tensile strengths. Defects are non-negligible factors of the mechanical properties of CNT-based networks and understanding the influence of defects on CNT-based networks is valuable to achieve the proper design of CNT-based electronic devices with better performances. Graphical Abstract

Carbon nanotube yarns with high tensile strength made by a twisting and shrinking method

2009 ◽  
Vol 21 (4) ◽  
pp. 045708 ◽  
Author(s):  
Kai Liu ◽  
Yinghui Sun ◽  
Ruifeng Zhou ◽  
Hanyu Zhu ◽  
Jiaping Wang ◽  
...  
Keyword(s):  
Tensile Strength ◽  
Carbon Nanotube ◽  
High Tensile Strength ◽  
Carbon Nanotube Yarns

The influence of functionalization time of carbon nanotube on the mechanical properties of the epoxy composites

2017 ◽  
Vol 51 (12) ◽  
pp. 1693-1701 ◽  
Author(s):  
EA Zakharychev ◽  
EN Razov ◽  
Yu D Semchikov ◽  
NS Zakharycheva ◽  
MA Kabina
Keyword(s):  
Mechanical Properties ◽  
Carbon Nanotubes ◽  
Tensile Strength ◽  
Elastic Modulus ◽  
Carbon Nanotube ◽  
Composite Materials ◽  
Polymer Composites ◽  
Epoxy Composites ◽  
Multi Walled Carbon Nanotubes ◽  
Walled Carbon Nanotubes

This paper investigates the structure, length, and percentage of functional groups of multi-walled carbon nanotubes (CNT) depending on the time taken for functionalization in HNO3 and H2SO4 mixture. The carbon nanotube content and influence of functionalization time on mechanical properties of polymer composite materials based on epoxy matrix are studied. The extreme dependencies of mechanical properties of carbon nanotube functionalization time of polymer composites were established. The rise in tensile strength of obtained composites reaches 102% and elastic modulus reaches 227% as compared to that of unfilled polymer. The composites exhibited best mechanical properties by including carbon nanotube with 0.5 h functionalization time.

Prediction of tensile strength of polymer carbon nanotube composites using practical machine learning method

2020 ◽  
pp. 002199832095354 ◽  
Author(s):  
Tien-Thinh Le
Keyword(s):  
Machine Learning ◽  
Mechanical Properties ◽  
Tensile Strength ◽  
Carbon Nanotube ◽  
Polymer Matrix ◽  
Mean Squared Error ◽  
Gaussian Process Regression ◽  
Weight Fraction ◽  
Percentage Error ◽  
Input Variables

This paper is devoted to the development and construction of a practical Machine Learning (ML)-based model for the prediction of tensile strength of polymer carbon nanotube (CNTs) composites. To this end, a database was compiled from the available literature, composed of 11 input variables. The input variables for predicting tensile strength of nanocomposites were selected for the following main reasons: (i) type of polymer matrix, (ii) mechanical properties of polymer matrix, (iii) physical characteristics of CNTs, (iv) mechanical properties of CNTs and (v) incorporation parameters such as CNT weight fraction, CNT surface modification method and processing method. As the problem of prediction is highly dimensional (with 11 dimensions), the Gaussian Process Regression (GPR) model was selected and optimized by means of a parametric study. The correlation coefficient (R), Willmott’s index of agreement (IA), slope of regression, Mean Absolute Percentage Error (MAPE), Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) were employed as error measurement criteria when training the GPR model. The GPR model exhibited good performance for both training and testing parts (RMSE = 5.982 and 5.327 MPa, MAE = 3.447 and 3.539 MPa, respectively). In addition, uncertainty analysis was also applied to estimate the prediction confidence intervals. Finally, the prediction capability of the GPR model with different ranges of values of input variables was investigated and discussed. For practical application, a Graphical User Interface (GUI) was developed in Matlab for predicting the tensile strength of nanocomposites.

Carbon Nanotube Composites

2019 ◽  
Vol 23 ◽  
pp. 75-81
Author(s):  
Ponnusamy Senthil Kumar ◽  
G. Janet Joshiba
Keyword(s):  
Carbon Nanotubes ◽  
Tensile Strength ◽  
Carbon Nanotube ◽  
Chemical Properties ◽  
Market Demand ◽  
Size Dependent ◽  
Nanotube Composites ◽  
Carbon Nanotube Composites ◽  
Physical And Chemical ◽  
And Chemical Properties

The discovery of carbon nanotubes is one of the remarkable achievement in the field of material science and it is a great advancement of Nanotechnology. A carbon nanotube is an expedient material used in several domains and paves way for the welfare of humans in many ways. Carbon nanotubes are nanosized tubes made from graphitic carbons and it is well known for its exclusive physical and chemical properties. The market demand for the nanotubes has increased progressively due to its size dependent, structure and mechanical properties. The carbon nanotubes possess high tensile strength and it is also found to be the durable fibre ever known. It is also found to possess exceptional electrical properties. The carbon nanotube composites have an excellent young’s modulus and higher tensile strength same as graphite carbon. This review plots the properties of carbon nanotubes and portrays the planning and properties of carbon nanotube composites. The wide application of carbon nanotube composites is also explained.

scholarly journals Correlation between Porosity and Electrical-Mechanical Properties of Carbon Nanotube Buckypaper with Various Porosities

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ling Liu ◽  
Qiaoxin Yang ◽  
Jingwen Shen
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Carbon Nanotube ◽  
The Other ◽  
Positive Pressure ◽  
Filtration Method ◽  
Elongation At Break ◽  
Conductive Materials ◽  
Wide Range ◽  
Electrical Conductivities

Porous carbon nanotube (CNT) buckypapers (BPs) with various porosities were obtained by using a positive pressure filtration method. The porosity of the BPs fell into a wide range of 11.3–39.3%. Electrical conductivities and tensile mechanical properties of the prepared BPs were then measured and correlated with the porosity of the CNT BPs. Results demonstrated that the conductivities, tensile strength, and elastic modulus of the BPs could decrease by increasing their porosity. The elongation at break of the BPs on the other hand did increase significantly, suggesting improved toughness of the BPs. The obtained electrical conductivity and tensile strength of the porous BPs can reach nearly 0.6 S/m and 26 MPa, respectively, which may be potentially useful in composites reinforcement and conductive materials.

scholarly journals Accurate measurement of specific tensile strength of carbon nanotube fibers with hierarchical structures by vibroscopic method

RSC Advances ◽  
2017 ◽  
Vol 7 (14) ◽  
pp. 8575-8580 ◽  
Author(s):  
Junbeom Park ◽  
Sung-Hyun Lee ◽  
Jaegeun Lee ◽  
Dong-Myeong Lee ◽  
Hayoung Yu ◽  
...  
Keyword(s):  
Tensile Strength ◽  
Carbon Nanotube ◽  
Hierarchical Structure ◽  
Linear Density ◽  
Hierarchical Structures ◽  
Specific Strength ◽  
Real Value ◽  
Carbon Nanotube Fibers

Since carbon nanotube (CNT) fibers have a hierarchical structure, the specific strength of CNT fibers can be estimated to be much higher than its real value when the linear density of the fiber is measured using the vibroscopic method.

scholarly journals Increased Tensile Strength of Carbon Nanotube Yarns and Sheets through Chemical Modification and Electron Beam Irradiation

2014 ◽  
Vol 6 (9) ◽  
pp. 6120-6126 ◽  
Author(s):  
Sandi G. Miller ◽  
Tiffany S. Williams ◽  
James S. Baker ◽  
Francisco Solá ◽  
Marisabel Lebron-Colon ◽  
...  
Keyword(s):  
Tensile Strength ◽  
Electron Beam ◽  
Carbon Nanotube ◽  
Chemical Modification ◽  
Electron Beam Irradiation ◽  
Beam Irradiation ◽  
Carbon Nanotube Yarns

Improved tensile strength of carbon nanotube-grafted carbon fiber reinforced composites

2019 ◽  
Vol 220 ◽  
pp. 580-591 ◽  
Author(s):  
Geunsung Lee ◽  
Minchang Sung ◽  
Ji Ho Youk ◽  
Jinyong Lee ◽  
Woong-Ryeol Yu
Keyword(s):  
Tensile Strength ◽  
Carbon Nanotube ◽  
Carbon Fiber ◽  
Fiber Reinforced Composites ◽  
Reinforced Composites ◽  
Fiber Reinforced ◽  
Carbon Fiber Reinforced Composites ◽  
Carbon Fiber Reinforced
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