A Statistical Analysis of Optimization of Wear Behaviour of Al- Al2O3 Composites Using Taguchi Technique.

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Title: A Statistical Analysis of Optimization of Wear Behaviour of Al- Al2O3 Composites Using Taguchi Technique.
Authors: Baradeswaran, A.1 barathme@yahoo.co.in, Elayaperumal, A.2, Issac, R. Franklin1
Source: Procedia Engineering. Oct2013, Vol. 64, p973-982. 10p.
Subjects: Aluminum oxide, Mechanical wear, Metallic composites, Scanning electron microscopy, Microstructure, Statistics, Taguchi methods
Abstract: Abstract: This work deals with the effect of Al2O3 on wear properties of AA7075 metal matrix composite and the results were optimized by Taguchi technique. The composites were prepared by conventional liquid casting method with varying the Al2O3 content. The wear test was conducted with pin-on-disc apparatus with the controlling parameters were, applied load of 10, 20, 30, and 40N and sliding distance of 1200 m with regular interval of 200m at 0.6m/s sliding speed. The micro structural investigation on the worn surfaces was performed by Scanning Electron Microscope. A statistical analysis of wear test was conducted using Response Surface Methodology, and Taguchi technique under Design of Experiments with Regression Equation using MINITAB software. From these results, the optimum AA7075/Al2O3 composite was evaluated and the optimum controlling parameters were examined on the basis of „smaller the best. [Copyright &y& Elsevier]
Copyright of Procedia Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 91975300
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  Data: <searchLink fieldCode="JN" term="%22Procedia+Engineering%22">Procedia Engineering</searchLink>. Oct2013, Vol. 64, p973-982. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Aluminum+oxide%22">Aluminum oxide</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+wear%22">Mechanical wear</searchLink><br /><searchLink fieldCode="DE" term="%22Metallic+composites%22">Metallic composites</searchLink><br /><searchLink fieldCode="DE" term="%22Scanning+electron+microscopy%22">Scanning electron microscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Microstructure%22">Microstructure</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Taguchi+methods%22">Taguchi methods</searchLink>
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  Data: Abstract: This work deals with the effect of Al2O3 on wear properties of AA7075 metal matrix composite and the results were optimized by Taguchi technique. The composites were prepared by conventional liquid casting method with varying the Al2O3 content. The wear test was conducted with pin-on-disc apparatus with the controlling parameters were, applied load of 10, 20, 30, and 40N and sliding distance of 1200 m with regular interval of 200m at 0.6m/s sliding speed. The micro structural investigation on the worn surfaces was performed by Scanning Electron Microscope. A statistical analysis of wear test was conducted using Response Surface Methodology, and Taguchi technique under Design of Experiments with Regression Equation using MINITAB software. From these results, the optimum AA7075/Al2O3 composite was evaluated and the optimum controlling parameters were examined on the basis of „smaller the best. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Procedia Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.proeng.2013.09.174
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 973
    Subjects:
      – SubjectFull: Aluminum oxide
        Type: general
      – SubjectFull: Mechanical wear
        Type: general
      – SubjectFull: Metallic composites
        Type: general
      – SubjectFull: Scanning electron microscopy
        Type: general
      – SubjectFull: Microstructure
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      – SubjectFull: Statistics
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      – SubjectFull: Taguchi methods
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      – TitleFull: A Statistical Analysis of Optimization of Wear Behaviour of Al- Al2O3 Composites Using Taguchi Technique.
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              Text: Oct2013
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