Surface roughness modelling of the micromechanically patterned CNT forests
Introduction: A new method of modelling surface roughness of the resultant structure from various parameters in the microforming of CNT forests has been developed. One of the top-down microforming methods of CNT forests is called micromechanical bending (M2B). The method uses a high-speed rotating...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English English English English |
Published: |
Bentham Science Publishers Ltd.
2023
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/105387/1/Saleh%20%283%29%20MS%20%281%29.pdf http://irep.iium.edu.my/105387/2/Bentham%20Science%20Publisher%20Mail%20-%20Fwd_%20COVERING%20LETTER%201ST%20Galley%20Proofs%20_%20BMS-MNS-2023-3.pdf http://irep.iium.edu.my/105387/13/105387_Surface%20roughness%20modelling%20of%20the%20micromechanically%20patterned%20CNT%20forests.pdf http://irep.iium.edu.my/105387/19/115387_Surface%20roughness%20modelling%20of%20the%20micromechanically_Scopus.pdf http://irep.iium.edu.my/105387/ https://benthamscience.com/public/journals/micro-and-nanosystems http://dx.doi.org/10.2174/1876402915666230602094033 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.iium.irep.105387 |
---|---|
record_format |
dspace |
spelling |
my.iium.irep.1053872024-05-14T02:59:12Z http://irep.iium.edu.my/105387/ Surface roughness modelling of the micromechanically patterned CNT forests Razib, Mohd Asyraf Saleh, Tanveer Rana, Masud Islam, Saiful Muthalif, Asan G. A. T Technology (General) Introduction: A new method of modelling surface roughness of the resultant structure from various parameters in the microforming of CNT forests has been developed. One of the top-down microforming methods of CNT forests is called micromechanical bending (M2B). The method uses a high-speed rotating spindle to compact and flatten the surface of CNT forests. It results in the surface structure becoming smoother and increased reflectance of the surface. The reason for this phenomenon is the porosity that decreases by bending CNTs, hence preventing light from passing through. Moreover, the surface roughness is also significantly reduced. However, a study has yet to be conducted to estimate the theoretical value of surface roughness from the identified parameters. Aim: This research aims to develop an approach to model the surface roughness of resultant surface from a set of parameters in a micropatterning method. Methods: Experiments were conducted using a CNC machine to pattern onto CNT Forests using specific parameters, such as 1000, 1500, and 2000 rpm (spindle speed) with feed rates of 1, 5 and 10 mm/min. The step size was kept fixed at 1 μm for each level of the patterning pass. It was found that the periodic pattern of trochoidal mark was engraved on the surface, contributing to the value of measured surface roughness. Results: The results were compared with the theoretical value from the calculation of surface roughness using trochoidal motion with the assumption of the grain sizes of 0.2 μm, 0.3 μm, and 0.4 μm. The actual value of surface roughness was measured using the XE-AFM machine. The grain of 0.2 μm produced the same experimental trend with the theoretical value at rotational speeds of 1000, 1500, and 2000 rpm. However, the theoretical result was shifted downward because the surface could return to the original position due to the elastic properties of the CNTs, hence reducing the surface roughness. The best-fit result was reported for the grain of 0.4 μm, rotational speed of 2000 rpm, and speed rate of 1 mm/min, showing less than 1% difference. Bentham Science Publishers Ltd. 2023-08-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/105387/1/Saleh%20%283%29%20MS%20%281%29.pdf application/pdf en http://irep.iium.edu.my/105387/2/Bentham%20Science%20Publisher%20Mail%20-%20Fwd_%20COVERING%20LETTER%201ST%20Galley%20Proofs%20_%20BMS-MNS-2023-3.pdf application/pdf en http://irep.iium.edu.my/105387/13/105387_Surface%20roughness%20modelling%20of%20the%20micromechanically%20patterned%20CNT%20forests.pdf application/pdf en http://irep.iium.edu.my/105387/19/115387_Surface%20roughness%20modelling%20of%20the%20micromechanically_Scopus.pdf Razib, Mohd Asyraf and Saleh, Tanveer and Rana, Masud and Islam, Saiful and Muthalif, Asan G. A. (2023) Surface roughness modelling of the micromechanically patterned CNT forests. Micro and Nanosystems, 15 (3). pp. 189-198. ISSN 1876-4029 E-ISSN 1876-4037 https://benthamscience.com/public/journals/micro-and-nanosystems http://dx.doi.org/10.2174/1876402915666230602094033 |
institution |
Universiti Islam Antarabangsa Malaysia |
building |
IIUM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
International Islamic University Malaysia |
content_source |
IIUM Repository (IREP) |
url_provider |
http://irep.iium.edu.my/ |
language |
English English English English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Razib, Mohd Asyraf Saleh, Tanveer Rana, Masud Islam, Saiful Muthalif, Asan G. A. Surface roughness modelling of the micromechanically patterned CNT forests |
description |
Introduction: A new method of modelling surface roughness of the resultant structure from various parameters in the microforming of CNT forests has been developed. One of the top-down microforming methods of CNT forests is called micromechanical bending (M2B). The method uses a
high-speed rotating spindle to compact and flatten the surface of CNT forests. It results in the surface structure becoming smoother and increased reflectance of the surface. The reason for this phenomenon is the porosity that decreases by bending CNTs, hence preventing light from passing through. Moreover, the surface roughness is also significantly reduced. However, a study has yet to be conducted to estimate the theoretical value of surface roughness from the identified parameters.
Aim: This research aims to develop an approach to model the surface roughness of resultant surface
from a set of parameters in a micropatterning method.
Methods: Experiments were conducted using a CNC machine to pattern onto CNT Forests using specific
parameters, such as 1000, 1500, and 2000 rpm (spindle speed) with feed rates of 1, 5 and 10
mm/min. The step size was kept fixed at 1 μm for each level of the patterning pass. It was found that
the periodic pattern of trochoidal mark was engraved on the surface, contributing to the value of measured
surface roughness.
Results: The results were compared with the theoretical value from the calculation of surface roughness
using trochoidal motion with the assumption of the grain sizes of 0.2 μm, 0.3 μm, and 0.4 μm.
The actual value of surface roughness was measured using the XE-AFM machine. The grain of 0.2 μm
produced the same experimental trend with the theoretical value at rotational speeds of 1000, 1500,
and 2000 rpm. However, the theoretical result was shifted downward because the surface could return
to the original position due to the elastic properties of the CNTs, hence reducing the surface roughness.
The best-fit result was reported for the grain of 0.4 μm, rotational speed of 2000 rpm, and speed rate of
1 mm/min, showing less than 1% difference. |
format |
Article |
author |
Razib, Mohd Asyraf Saleh, Tanveer Rana, Masud Islam, Saiful Muthalif, Asan G. A. |
author_facet |
Razib, Mohd Asyraf Saleh, Tanveer Rana, Masud Islam, Saiful Muthalif, Asan G. A. |
author_sort |
Razib, Mohd Asyraf |
title |
Surface roughness modelling of the micromechanically patterned CNT forests |
title_short |
Surface roughness modelling of the micromechanically patterned CNT forests |
title_full |
Surface roughness modelling of the micromechanically patterned CNT forests |
title_fullStr |
Surface roughness modelling of the micromechanically patterned CNT forests |
title_full_unstemmed |
Surface roughness modelling of the micromechanically patterned CNT forests |
title_sort |
surface roughness modelling of the micromechanically patterned cnt forests |
publisher |
Bentham Science Publishers Ltd. |
publishDate |
2023 |
url |
http://irep.iium.edu.my/105387/1/Saleh%20%283%29%20MS%20%281%29.pdf http://irep.iium.edu.my/105387/2/Bentham%20Science%20Publisher%20Mail%20-%20Fwd_%20COVERING%20LETTER%201ST%20Galley%20Proofs%20_%20BMS-MNS-2023-3.pdf http://irep.iium.edu.my/105387/13/105387_Surface%20roughness%20modelling%20of%20the%20micromechanically%20patterned%20CNT%20forests.pdf http://irep.iium.edu.my/105387/19/115387_Surface%20roughness%20modelling%20of%20the%20micromechanically_Scopus.pdf http://irep.iium.edu.my/105387/ https://benthamscience.com/public/journals/micro-and-nanosystems http://dx.doi.org/10.2174/1876402915666230602094033 |
_version_ |
1800081760341458944 |
score |
13.211869 |