Optimization of Injection Molding Process for Tensile and Wear Properties of Polypropylene Components via Taguchi and Design of Experiments Method.

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Title: Optimization of Injection Molding Process for Tensile and Wear Properties of Polypropylene Components via Taguchi and Design of Experiments Method.
Authors: Yu-Hsin Lin1, Wei-Jaw Deng2, Cheng-Hung Huang3, Yung-Kuang Yang4 yky@must.edu.tw
Source: Polymer-Plastics Technology & Engineering. Jan2008, Vol. 47 Issue 1, p96-105. 10p. 1 Black and White Photograph, 2 Diagrams, 9 Charts, 3 Graphs.
Subjects: Polypropylene, Materials analysis, Chemical molding, Injection molding of plastics, Regression analysis
Abstract: This study analyzes the wear and the tensile properties of polypropylene (PP) components, which are applied to the interior coffer of automobiles. The specimens are prepared under different injection molding conditions by changing the melting temperature, the injection speed, and the injection pressure via three computer-controlled progressive strokes. The wear and tensile properties are adopted as the quality targets. Experiments of 16 experimental runs are based on an orthogonal array table, and apply the Taguchi method and the design of experiments (DOE) approach to determine an optimal parameter setting. In addition, a side-by-side comparison of two different approaches is provided. In this study, regression models that link the controlled parameters and the targeted outputs are developed, and the identified models can be used to predict the tensile and wear properties at various injection molding conditions. [ABSTRACT FROM AUTHOR]
Copyright of Polymer-Plastics Technology & Engineering is the property of Taylor & Francis Ltd 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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  Data: Optimization of Injection Molding Process for Tensile and Wear Properties of Polypropylene Components via Taguchi and Design of Experiments Method.
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  Data: <searchLink fieldCode="AR" term="%22Yu-Hsin+Lin%22">Yu-Hsin Lin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wei-Jaw+Deng%22">Wei-Jaw Deng</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Cheng-Hung+Huang%22">Cheng-Hung Huang</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yung-Kuang+Yang%22">Yung-Kuang Yang</searchLink><relatesTo>4</relatesTo><i> yky@must.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22Polymer-Plastics+Technology+%26+Engineering%22">Polymer-Plastics Technology & Engineering</searchLink>. Jan2008, Vol. 47 Issue 1, p96-105. 10p. 1 Black and White Photograph, 2 Diagrams, 9 Charts, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Polypropylene%22">Polypropylene</searchLink><br /><searchLink fieldCode="DE" term="%22Materials+analysis%22">Materials analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+molding%22">Chemical molding</searchLink><br /><searchLink fieldCode="DE" term="%22Injection+molding+of+plastics%22">Injection molding of plastics</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study analyzes the wear and the tensile properties of polypropylene (PP) components, which are applied to the interior coffer of automobiles. The specimens are prepared under different injection molding conditions by changing the melting temperature, the injection speed, and the injection pressure via three computer-controlled progressive strokes. The wear and tensile properties are adopted as the quality targets. Experiments of 16 experimental runs are based on an orthogonal array table, and apply the Taguchi method and the design of experiments (DOE) approach to determine an optimal parameter setting. In addition, a side-by-side comparison of two different approaches is provided. In this study, regression models that link the controlled parameters and the targeted outputs are developed, and the identified models can be used to predict the tensile and wear properties at various injection molding conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Polymer-Plastics Technology & Engineering is the property of Taylor & Francis Ltd 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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      – Type: doi
        Value: 10.1080/03602550701581027
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 96
    Subjects:
      – SubjectFull: Polypropylene
        Type: general
      – SubjectFull: Materials analysis
        Type: general
      – SubjectFull: Chemical molding
        Type: general
      – SubjectFull: Injection molding of plastics
        Type: general
      – SubjectFull: Regression analysis
        Type: general
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      – TitleFull: Optimization of Injection Molding Process for Tensile and Wear Properties of Polypropylene Components via Taguchi and Design of Experiments Method.
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            NameFull: Yu-Hsin Lin
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            NameFull: Wei-Jaw Deng
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            NameFull: Cheng-Hung Huang
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            NameFull: Yung-Kuang Yang
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            – D: 01
              M: 01
              Text: Jan2008
              Type: published
              Y: 2008
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            – TitleFull: Polymer-Plastics Technology & Engineering
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