Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites

Jimoh Olugbenga Hamed; Ganiyu Ishola Agbaje; Abdullahi Ikani Bakwo; Bisola Abigail Olaniyi; Ismail Olusegun Lawal; Adekunle Benjamin Falade

doi:doi:10.11648/j.ae.20200401.12

Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites

Jimoh Olugbenga Hamed, Ganiyu Ishola Agbaje, Abdullahi Ikani Bakwo, Bisola Abigail Olaniyi, Ismail Olusegun Lawal, Adekunle Benjamin Falade

Published in Applied Engineering (Volume 4, Issue 1)

Received: 30 December 2019 Accepted: 9 January 2020 Published: 21 January 2020

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Abstract

There is a strong agitation from rocket designer for a highly reinforced metal matrix composites for rocket chamber to curtail the effect of high temperature and pressure from gaseous product of combustion process. This study has been designed to evaluate the surface roughness of an aluminum reinforced metal matrix composites produced by stir casting techniques at constant cutting speed of 1000 rpm, three (3) different feed rates at various aluminum weight ratio. Response surface methodology was adopted to formulate a surface roughness model in terms of metal matrix constituents such as aluminum, barite and zircon under three (3) different feed rate. The model adequacy was verified using analysis of variance. Also, the approach was used to optimize the effect of reinforced materials on surface roughness of the matrix composites. The increase in weight ratio of aluminum matrix reduces the surface roughness and vice versa. However, increase in barite, zircon weight ratios and feed rate increase the surface roughness. The optimum matrix chemical composition ratios of 0.9310, 0.0296, and 0.0394 for aluminum, barite, and zircon respectively with optimal desirability index of 0.903 shows the validity of the design. The F-values obtained at 95% confidence interval revealed that the selected model adequately represent the data for the matrix composites. Therefore, the study confirm the effectiveness of Response Surface Methodology as a tool in predicting surface roughness and provide materials with enhanced mechanical properties.

Published in	Applied Engineering (Volume 4, Issue 1)
DOI	10.11648/j.ae.20200401.12
Page(s)	7-13
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Surface Roughness, Metal Matrix, Composites, Feed Rate, Stir Casting

References

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APA Style

Jimoh Olugbenga Hamed, Ganiyu Ishola Agbaje, Abdullahi Ikani Bakwo, Bisola Abigail Olaniyi, Ismail Olusegun Lawal, et al. (2020). Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites. Applied Engineering, 4(1), 7-13. https://doi.org/10.11648/j.ae.20200401.12

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ACS Style

Jimoh Olugbenga Hamed; Ganiyu Ishola Agbaje; Abdullahi Ikani Bakwo; Bisola Abigail Olaniyi; Ismail Olusegun Lawal, et al. Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites. Appl. Eng. 2020, 4(1), 7-13. doi: 10.11648/j.ae.20200401.12

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AMA Style

Jimoh Olugbenga Hamed, Ganiyu Ishola Agbaje, Abdullahi Ikani Bakwo, Bisola Abigail Olaniyi, Ismail Olusegun Lawal, et al. Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites. Appl Eng. 2020;4(1):7-13. doi: 10.11648/j.ae.20200401.12

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@article{10.11648/j.ae.20200401.12,
  author = {Jimoh Olugbenga Hamed and Ganiyu Ishola Agbaje and Abdullahi Ikani Bakwo and Bisola Abigail Olaniyi and Ismail Olusegun Lawal and Adekunle Benjamin Falade},
  title = {Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites},
  journal = {Applied Engineering},
  volume = {4},
  number = {1},
  pages = {7-13},
  doi = {10.11648/j.ae.20200401.12},
  url = {https://doi.org/10.11648/j.ae.20200401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ae.20200401.12},
  abstract = {There is a strong agitation from rocket designer for a highly reinforced metal matrix composites for rocket chamber to curtail the effect of high temperature and pressure from gaseous product of combustion process. This study has been designed to evaluate the surface roughness of an aluminum reinforced metal matrix composites produced by stir casting techniques at constant cutting speed of 1000 rpm, three (3) different feed rates at various aluminum weight ratio. Response surface methodology was adopted to formulate a surface roughness model in terms of metal matrix constituents such as aluminum, barite and zircon under three (3) different feed rate. The model adequacy was verified using analysis of variance. Also, the approach was used to optimize the effect of reinforced materials on surface roughness of the matrix composites. The increase in weight ratio of aluminum matrix reduces the surface roughness and vice versa. However, increase in barite, zircon weight ratios and feed rate increase the surface roughness. The optimum matrix chemical composition ratios of 0.9310, 0.0296, and 0.0394 for aluminum, barite, and zircon respectively with optimal desirability index of 0.903 shows the validity of the design. The F-values obtained at 95% confidence interval revealed that the selected model adequately represent the data for the matrix composites. Therefore, the study confirm the effectiveness of Response Surface Methodology as a tool in predicting surface roughness and provide materials with enhanced mechanical properties.},
 year = {2020}
}

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TY  - JOUR
T1  - Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites
AU  - Jimoh Olugbenga Hamed
AU  - Ganiyu Ishola Agbaje
AU  - Abdullahi Ikani Bakwo
AU  - Bisola Abigail Olaniyi
AU  - Ismail Olusegun Lawal
AU  - Adekunle Benjamin Falade
Y1  - 2020/01/21
PY  - 2020
N1  - https://doi.org/10.11648/j.ae.20200401.12
DO  - 10.11648/j.ae.20200401.12
T2  - Applied Engineering
JF  - Applied Engineering
JO  - Applied Engineering
SP  - 7
EP  - 13
PB  - Science Publishing Group
SN  - 2994-7456
UR  - https://doi.org/10.11648/j.ae.20200401.12
AB  - There is a strong agitation from rocket designer for a highly reinforced metal matrix composites for rocket chamber to curtail the effect of high temperature and pressure from gaseous product of combustion process. This study has been designed to evaluate the surface roughness of an aluminum reinforced metal matrix composites produced by stir casting techniques at constant cutting speed of 1000 rpm, three (3) different feed rates at various aluminum weight ratio. Response surface methodology was adopted to formulate a surface roughness model in terms of metal matrix constituents such as aluminum, barite and zircon under three (3) different feed rate. The model adequacy was verified using analysis of variance. Also, the approach was used to optimize the effect of reinforced materials on surface roughness of the matrix composites. The increase in weight ratio of aluminum matrix reduces the surface roughness and vice versa. However, increase in barite, zircon weight ratios and feed rate increase the surface roughness. The optimum matrix chemical composition ratios of 0.9310, 0.0296, and 0.0394 for aluminum, barite, and zircon respectively with optimal desirability index of 0.903 shows the validity of the design. The F-values obtained at 95% confidence interval revealed that the selected model adequately represent the data for the matrix composites. Therefore, the study confirm the effectiveness of Response Surface Methodology as a tool in predicting surface roughness and provide materials with enhanced mechanical properties.
VL  - 4
IS  - 1
ER  -

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Author Information

Jimoh Olugbenga Hamed

African Regional Centre for Space Science and Technology Education in English, Obafemi Awolowo University Campus, Ile-Ife, Nigeria
Ganiyu Ishola Agbaje

African Regional Centre for Space Science and Technology Education in English, Obafemi Awolowo University Campus, Ile-Ife, Nigeria
Abdullahi Ikani Bakwo

Centre for Space Transport and Propulsion, Lagos State University Campus, Epe, Lagos, Nigeria
Bisola Abigail Olaniyi

Engineering Space System, National Space Research and Development Agency, Abuja, Nigeria
Ismail Olusegun Lawal

Advanced Aerospace Engines Laboratory, Oka-Akoko, Ondo, Nigeria
Adekunle Benjamin Falade

African Regional Centre for Space Science and Technology Education in English, Obafemi Awolowo University Campus, Ile-Ife, Nigeria

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APA Style

Jimoh Olugbenga Hamed, Ganiyu Ishola Agbaje, Abdullahi Ikani Bakwo, Bisola Abigail Olaniyi, Ismail Olusegun Lawal, et al. (2020). Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites. Applied Engineering, 4(1), 7-13. https://doi.org/10.11648/j.ae.20200401.12

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ACS Style

Jimoh Olugbenga Hamed; Ganiyu Ishola Agbaje; Abdullahi Ikani Bakwo; Bisola Abigail Olaniyi; Ismail Olusegun Lawal, et al. Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites. Appl. Eng. 2020, 4(1), 7-13. doi: 10.11648/j.ae.20200401.12

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AMA Style

Jimoh Olugbenga Hamed, Ganiyu Ishola Agbaje, Abdullahi Ikani Bakwo, Bisola Abigail Olaniyi, Ismail Olusegun Lawal, et al. Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites. Appl Eng. 2020;4(1):7-13. doi: 10.11648/j.ae.20200401.12

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@article{10.11648/j.ae.20200401.12,
  author = {Jimoh Olugbenga Hamed and Ganiyu Ishola Agbaje and Abdullahi Ikani Bakwo and Bisola Abigail Olaniyi and Ismail Olusegun Lawal and Adekunle Benjamin Falade},
  title = {Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites},
  journal = {Applied Engineering},
  volume = {4},
  number = {1},
  pages = {7-13},
  doi = {10.11648/j.ae.20200401.12},
  url = {https://doi.org/10.11648/j.ae.20200401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ae.20200401.12},
  abstract = {There is a strong agitation from rocket designer for a highly reinforced metal matrix composites for rocket chamber to curtail the effect of high temperature and pressure from gaseous product of combustion process. This study has been designed to evaluate the surface roughness of an aluminum reinforced metal matrix composites produced by stir casting techniques at constant cutting speed of 1000 rpm, three (3) different feed rates at various aluminum weight ratio. Response surface methodology was adopted to formulate a surface roughness model in terms of metal matrix constituents such as aluminum, barite and zircon under three (3) different feed rate. The model adequacy was verified using analysis of variance. Also, the approach was used to optimize the effect of reinforced materials on surface roughness of the matrix composites. The increase in weight ratio of aluminum matrix reduces the surface roughness and vice versa. However, increase in barite, zircon weight ratios and feed rate increase the surface roughness. The optimum matrix chemical composition ratios of 0.9310, 0.0296, and 0.0394 for aluminum, barite, and zircon respectively with optimal desirability index of 0.903 shows the validity of the design. The F-values obtained at 95% confidence interval revealed that the selected model adequately represent the data for the matrix composites. Therefore, the study confirm the effectiveness of Response Surface Methodology as a tool in predicting surface roughness and provide materials with enhanced mechanical properties.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Estimation of Surface Roughness of Aluminum Reinforced Metal Matrix Composites
AU  - Jimoh Olugbenga Hamed
AU  - Ganiyu Ishola Agbaje
AU  - Abdullahi Ikani Bakwo
AU  - Bisola Abigail Olaniyi
AU  - Ismail Olusegun Lawal
AU  - Adekunle Benjamin Falade
Y1  - 2020/01/21
PY  - 2020
N1  - https://doi.org/10.11648/j.ae.20200401.12
DO  - 10.11648/j.ae.20200401.12
T2  - Applied Engineering
JF  - Applied Engineering
JO  - Applied Engineering
SP  - 7
EP  - 13
PB  - Science Publishing Group
SN  - 2994-7456
UR  - https://doi.org/10.11648/j.ae.20200401.12
AB  - There is a strong agitation from rocket designer for a highly reinforced metal matrix composites for rocket chamber to curtail the effect of high temperature and pressure from gaseous product of combustion process. This study has been designed to evaluate the surface roughness of an aluminum reinforced metal matrix composites produced by stir casting techniques at constant cutting speed of 1000 rpm, three (3) different feed rates at various aluminum weight ratio. Response surface methodology was adopted to formulate a surface roughness model in terms of metal matrix constituents such as aluminum, barite and zircon under three (3) different feed rate. The model adequacy was verified using analysis of variance. Also, the approach was used to optimize the effect of reinforced materials on surface roughness of the matrix composites. The increase in weight ratio of aluminum matrix reduces the surface roughness and vice versa. However, increase in barite, zircon weight ratios and feed rate increase the surface roughness. The optimum matrix chemical composition ratios of 0.9310, 0.0296, and 0.0394 for aluminum, barite, and zircon respectively with optimal desirability index of 0.903 shows the validity of the design. The F-values obtained at 95% confidence interval revealed that the selected model adequately represent the data for the matrix composites. Therefore, the study confirm the effectiveness of Response Surface Methodology as a tool in predicting surface roughness and provide materials with enhanced mechanical properties.
VL  - 4
IS  - 1
ER  -

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