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Novel Approach for Forecasting and Assessing the Relationship Between the Environment Friendly Fibres Production Process and Fibres Properties

Received: 1 May 2020     Accepted: 4 June 2020     Published: 16 November 2020
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Abstract

This research will provide statistical forecasting models for the relationship between the production process and biodegradable aliphatic-aromatic co-polyester fibre properties. Spin draw ratio, birefringence, drawability, die head pressure, crystallographic order as full-width half-maximum, count, tensile properties, diameter, and thermal shrinkage was tested, analyzed and modeled using factorial experimental designs. Appropriate statistical methods were applied, and a model for specifying the direction of increasing or decreasing of the significant process parameters was identified. A statistical forecasting program was typically designed for optimizing fibers extrusion processes using Microsoft Visual Basic program, and then the predicted and calculated results were evaluated. The main goal of current research is to give basics for the novel optimization approach, and how these novel modeling methodologies will help polymer designers in making the best experimental decision, saving the power, the time and the cost. The statistical models and designed programs are important for controlling the production process to enhance fibre properties. The produced fibres could be used for different textile applications, as an alternative to commercial chemical fibres at reasonable cost.

Published in American Journal of Science, Engineering and Technology (Volume 5, Issue 4)
DOI 10.11648/j.ajset.20200504.13
Page(s) 135-144
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

Environment Friendly, Bio-fibres, Melt-Spinning, Water Cooling, Statistical Analyzing, Forecasting

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  • APA Style

    Basel Younes. (2020). Novel Approach for Forecasting and Assessing the Relationship Between the Environment Friendly Fibres Production Process and Fibres Properties. American Journal of Science, Engineering and Technology, 5(4), 135-144. https://doi.org/10.11648/j.ajset.20200504.13

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    ACS Style

    Basel Younes. Novel Approach for Forecasting and Assessing the Relationship Between the Environment Friendly Fibres Production Process and Fibres Properties. Am. J. Sci. Eng. Technol. 2020, 5(4), 135-144. doi: 10.11648/j.ajset.20200504.13

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    AMA Style

    Basel Younes. Novel Approach for Forecasting and Assessing the Relationship Between the Environment Friendly Fibres Production Process and Fibres Properties. Am J Sci Eng Technol. 2020;5(4):135-144. doi: 10.11648/j.ajset.20200504.13

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  • @article{10.11648/j.ajset.20200504.13,
      author = {Basel Younes},
      title = {Novel Approach for Forecasting and Assessing the Relationship Between the Environment Friendly Fibres Production Process and Fibres Properties},
      journal = {American Journal of Science, Engineering and Technology},
      volume = {5},
      number = {4},
      pages = {135-144},
      doi = {10.11648/j.ajset.20200504.13},
      url = {https://doi.org/10.11648/j.ajset.20200504.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20200504.13},
      abstract = {This research will provide statistical forecasting models for the relationship between the production process and biodegradable aliphatic-aromatic co-polyester fibre properties. Spin draw ratio, birefringence, drawability, die head pressure, crystallographic order as full-width half-maximum, count, tensile properties, diameter, and thermal shrinkage was tested, analyzed and modeled using factorial experimental designs. Appropriate statistical methods were applied, and a model for specifying the direction of increasing or decreasing of the significant process parameters was identified. A statistical forecasting program was typically designed for optimizing fibers extrusion processes using Microsoft Visual Basic program, and then the predicted and calculated results were evaluated. The main goal of current research is to give basics for the novel optimization approach, and how these novel modeling methodologies will help polymer designers in making the best experimental decision, saving the power, the time and the cost. The statistical models and designed programs are important for controlling the production process to enhance fibre properties. The produced fibres could be used for different textile applications, as an alternative to commercial chemical fibres at reasonable cost.},
     year = {2020}
    }
    

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    T1  - Novel Approach for Forecasting and Assessing the Relationship Between the Environment Friendly Fibres Production Process and Fibres Properties
    AU  - Basel Younes
    Y1  - 2020/11/16
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajset.20200504.13
    DO  - 10.11648/j.ajset.20200504.13
    T2  - American Journal of Science, Engineering and Technology
    JF  - American Journal of Science, Engineering and Technology
    JO  - American Journal of Science, Engineering and Technology
    SP  - 135
    EP  - 144
    PB  - Science Publishing Group
    SN  - 2578-8353
    UR  - https://doi.org/10.11648/j.ajset.20200504.13
    AB  - This research will provide statistical forecasting models for the relationship between the production process and biodegradable aliphatic-aromatic co-polyester fibre properties. Spin draw ratio, birefringence, drawability, die head pressure, crystallographic order as full-width half-maximum, count, tensile properties, diameter, and thermal shrinkage was tested, analyzed and modeled using factorial experimental designs. Appropriate statistical methods were applied, and a model for specifying the direction of increasing or decreasing of the significant process parameters was identified. A statistical forecasting program was typically designed for optimizing fibers extrusion processes using Microsoft Visual Basic program, and then the predicted and calculated results were evaluated. The main goal of current research is to give basics for the novel optimization approach, and how these novel modeling methodologies will help polymer designers in making the best experimental decision, saving the power, the time and the cost. The statistical models and designed programs are important for controlling the production process to enhance fibre properties. The produced fibres could be used for different textile applications, as an alternative to commercial chemical fibres at reasonable cost.
    VL  - 5
    IS  - 4
    ER  - 

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Author Information
  • Faculty of Engineering, University of Kalamoon, Damascus, Syria

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