Numerical and Response Surface Interactions for Optimizing Extrusion Parameters

Gundu David Terfa; Tuleun Livinus Tyovenda; Agber Jonathan Uhaa

doi:doi:10.11648/j.ijmsa.20150403.11

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Numerical and Response Surface Interactions for Optimizing Extrusion Parameters

Gundu David Terfa, Tuleun Livinus Tyovenda, Agber Jonathan Uhaa

Published in International Journal of Materials Science and Applications (Volume 4, Issue 3)

Received: 24 March 2015 Accepted: 8 April 2015 Published: 21 April 2015

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Abstract

An experimental program was undertaken to extrude a lead alloy on ELECompact-1500 compression machine. Extrusion variables were extrude diameter (d), die bearing length (h), and included die entrant angle Ө = 90o. Using experimental values, numerical models were obtained to describe the relationship between extrusion variables and extrusion pressure and extrude deflection. The numerical models were then used to obtain the response pressure predictions for aluminum alloy. Results of validation tests indicated good correlation between predicted and experimental values. The predictions also compare favorably with values obtained by a similar second-order modified upper bound model frequently used in industry for estimating extrusion loads with prediction errors below 4%. Surface responses graphs of extrusion pressure and extrude deflection were also used to define the optimized field for interaction of extrusion parameters for minimizing extrusion loads and controlling extrudes deflection or bending. Owing to fewer input variables, the proposed models were considered convenient options for a quick estimate of extrusion loads and product curvature.

Published in	International Journal of Materials Science and Applications (Volume 4, Issue 3)
DOI	10.11648/j.ijmsa.20150403.11
Page(s)	143-148
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), 2015. Published by Science Publishing Group

Keywords

Numerical Models, Response Surface, Optimizing, Extrusion, Die Pressure, Extrude Deflection

References

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APA Style

Gundu David Terfa, Tuleun Livinus Tyovenda, Agber Jonathan Uhaa. (2015). Numerical and Response Surface Interactions for Optimizing Extrusion Parameters. International Journal of Materials Science and Applications, 4(3), 143-148. https://doi.org/10.11648/j.ijmsa.20150403.11

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ACS Style

Gundu David Terfa; Tuleun Livinus Tyovenda; Agber Jonathan Uhaa. Numerical and Response Surface Interactions for Optimizing Extrusion Parameters. Int. J. Mater. Sci. Appl. 2015, 4(3), 143-148. doi: 10.11648/j.ijmsa.20150403.11

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AMA Style

Gundu David Terfa, Tuleun Livinus Tyovenda, Agber Jonathan Uhaa. Numerical and Response Surface Interactions for Optimizing Extrusion Parameters. Int J Mater Sci Appl. 2015;4(3):143-148. doi: 10.11648/j.ijmsa.20150403.11

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@article{10.11648/j.ijmsa.20150403.11,
  author = {Gundu David Terfa and Tuleun Livinus Tyovenda and Agber Jonathan Uhaa},
  title = {Numerical and Response Surface Interactions for Optimizing Extrusion Parameters},
  journal = {International Journal of Materials Science and Applications},
  volume = {4},
  number = {3},
  pages = {143-148},
  doi = {10.11648/j.ijmsa.20150403.11},
  url = {https://doi.org/10.11648/j.ijmsa.20150403.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmsa.20150403.11},
  abstract = {An experimental program was undertaken to extrude a lead alloy on ELECompact-1500 compression machine. Extrusion variables were extrude diameter (d), die bearing length (h), and included die entrant angle Ө = 90o. Using experimental values, numerical models were obtained to describe the relationship between extrusion variables and extrusion pressure and extrude deflection. The numerical models were then used to obtain the response pressure predictions for aluminum alloy. Results of validation tests indicated good correlation between predicted and experimental values. The predictions also compare favorably with values obtained by a similar second-order modified upper bound model frequently used in industry for estimating extrusion loads with prediction errors below 4%. Surface responses graphs of extrusion pressure and extrude deflection were also used to define the optimized field for interaction of extrusion parameters for minimizing extrusion loads and controlling extrudes deflection or bending. Owing to fewer input variables, the proposed models were considered convenient options for a quick estimate of extrusion loads and product curvature.},
 year = {2015}
}

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TY  - JOUR
T1  - Numerical and Response Surface Interactions for Optimizing Extrusion Parameters
AU  - Gundu David Terfa
AU  - Tuleun Livinus Tyovenda
AU  - Agber Jonathan Uhaa
Y1  - 2015/04/21
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmsa.20150403.11
DO  - 10.11648/j.ijmsa.20150403.11
T2  - International Journal of Materials Science and Applications
JF  - International Journal of Materials Science and Applications
JO  - International Journal of Materials Science and Applications
SP  - 143
EP  - 148
PB  - Science Publishing Group
SN  - 2327-2643
UR  - https://doi.org/10.11648/j.ijmsa.20150403.11
AB  - An experimental program was undertaken to extrude a lead alloy on ELECompact-1500 compression machine. Extrusion variables were extrude diameter (d), die bearing length (h), and included die entrant angle Ө = 90o. Using experimental values, numerical models were obtained to describe the relationship between extrusion variables and extrusion pressure and extrude deflection. The numerical models were then used to obtain the response pressure predictions for aluminum alloy. Results of validation tests indicated good correlation between predicted and experimental values. The predictions also compare favorably with values obtained by a similar second-order modified upper bound model frequently used in industry for estimating extrusion loads with prediction errors below 4%. Surface responses graphs of extrusion pressure and extrude deflection were also used to define the optimized field for interaction of extrusion parameters for minimizing extrusion loads and controlling extrudes deflection or bending. Owing to fewer input variables, the proposed models were considered convenient options for a quick estimate of extrusion loads and product curvature.
VL  - 4
IS  - 3
ER  -

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Author Information

Gundu David Terfa

Department of Mechanical Engineering, University of Agriculture, Makurdi, Nigeria
Tuleun Livinus Tyovenda

Department of Mechanical Engineering, University of Agriculture, Makurdi, Nigeria
Agber Jonathan Uhaa

Department of Electrical/Electronics Engineering, University of Agriculture, Makurdi, Nigeria

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Plain Text BibTeX RIS

APA Style

Gundu David Terfa, Tuleun Livinus Tyovenda, Agber Jonathan Uhaa. (2015). Numerical and Response Surface Interactions for Optimizing Extrusion Parameters. International Journal of Materials Science and Applications, 4(3), 143-148. https://doi.org/10.11648/j.ijmsa.20150403.11

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ACS Style

Gundu David Terfa; Tuleun Livinus Tyovenda; Agber Jonathan Uhaa. Numerical and Response Surface Interactions for Optimizing Extrusion Parameters. Int. J. Mater. Sci. Appl. 2015, 4(3), 143-148. doi: 10.11648/j.ijmsa.20150403.11

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AMA Style

Gundu David Terfa, Tuleun Livinus Tyovenda, Agber Jonathan Uhaa. Numerical and Response Surface Interactions for Optimizing Extrusion Parameters. Int J Mater Sci Appl. 2015;4(3):143-148. doi: 10.11648/j.ijmsa.20150403.11

Copy | Download

@article{10.11648/j.ijmsa.20150403.11,
  author = {Gundu David Terfa and Tuleun Livinus Tyovenda and Agber Jonathan Uhaa},
  title = {Numerical and Response Surface Interactions for Optimizing Extrusion Parameters},
  journal = {International Journal of Materials Science and Applications},
  volume = {4},
  number = {3},
  pages = {143-148},
  doi = {10.11648/j.ijmsa.20150403.11},
  url = {https://doi.org/10.11648/j.ijmsa.20150403.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmsa.20150403.11},
  abstract = {An experimental program was undertaken to extrude a lead alloy on ELECompact-1500 compression machine. Extrusion variables were extrude diameter (d), die bearing length (h), and included die entrant angle Ө = 90o. Using experimental values, numerical models were obtained to describe the relationship between extrusion variables and extrusion pressure and extrude deflection. The numerical models were then used to obtain the response pressure predictions for aluminum alloy. Results of validation tests indicated good correlation between predicted and experimental values. The predictions also compare favorably with values obtained by a similar second-order modified upper bound model frequently used in industry for estimating extrusion loads with prediction errors below 4%. Surface responses graphs of extrusion pressure and extrude deflection were also used to define the optimized field for interaction of extrusion parameters for minimizing extrusion loads and controlling extrudes deflection or bending. Owing to fewer input variables, the proposed models were considered convenient options for a quick estimate of extrusion loads and product curvature.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Numerical and Response Surface Interactions for Optimizing Extrusion Parameters
AU  - Gundu David Terfa
AU  - Tuleun Livinus Tyovenda
AU  - Agber Jonathan Uhaa
Y1  - 2015/04/21
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmsa.20150403.11
DO  - 10.11648/j.ijmsa.20150403.11
T2  - International Journal of Materials Science and Applications
JF  - International Journal of Materials Science and Applications
JO  - International Journal of Materials Science and Applications
SP  - 143
EP  - 148
PB  - Science Publishing Group
SN  - 2327-2643
UR  - https://doi.org/10.11648/j.ijmsa.20150403.11
AB  - An experimental program was undertaken to extrude a lead alloy on ELECompact-1500 compression machine. Extrusion variables were extrude diameter (d), die bearing length (h), and included die entrant angle Ө = 90o. Using experimental values, numerical models were obtained to describe the relationship between extrusion variables and extrusion pressure and extrude deflection. The numerical models were then used to obtain the response pressure predictions for aluminum alloy. Results of validation tests indicated good correlation between predicted and experimental values. The predictions also compare favorably with values obtained by a similar second-order modified upper bound model frequently used in industry for estimating extrusion loads with prediction errors below 4%. Surface responses graphs of extrusion pressure and extrude deflection were also used to define the optimized field for interaction of extrusion parameters for minimizing extrusion loads and controlling extrudes deflection or bending. Owing to fewer input variables, the proposed models were considered convenient options for a quick estimate of extrusion loads and product curvature.
VL  - 4
IS  - 3
ER  -

Copy | Download