American Journal of Mechanical and Industrial Engineering

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Optimum Drilling Parameters of Coir Fiber-Reinforced Polyester Composites

Received: 15 October 2016    Accepted: 06 December 2016    Published: 21 January 2017
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Abstract

This paper presents optimum drilling parameters of coir fiber reinforced polyester composites following the Taguchi design of experiment. A simple multi-objective optimization approach is suggested and presented an efficient prediction methodology to estimate thrust force, torque and tool wear for the identified optimum process parameters.

DOI 10.11648/j.ajmie.20170202.15
Published in American Journal of Mechanical and Industrial Engineering (Volume 2, Issue 2, March 2017)
Page(s) 92-97
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), 2024. Published by Science Publishing Group

Keywords

Coir Fiber-Reinforced Polyester Composites, Drilling Parameters, Taguchi Method, Thrust Force, Tool Wear, Torque

References
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[13] Okonkwo UC, Chukwunyelu CE, Oweziem BU, Ekuase A. Evaluation and optimization of tensile strength responses of coir fibres reinforced polyester matrix composites (CFRP) using Taguchi robust design, Journal of Minerals and Materials Characterization and Engineering 2015; 3: 225-236. http://dx.doi.org/10.4236/jmmce.2015.34025.
[14] Geetanjali Das, Sandhayarani Biswas. Physical, mechanical and water absorption behavior of coir fiber reinforced epoxy composites filled with Al2O3 particulates, Materials Science and Engineering 2016; 115: 012012. [DOI: 10.1088/1757-899X/115/012012].
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Author Information
  • Department of Mechanical Engineering, Koneru Lakshmaiah University, Vaddeswaram, Guntur, India

  • Department of Mechanical Engineering, Koneru Lakshmaiah University, Vaddeswaram, Guntur, India

  • Department of Mechanical Engineering, Koneru Lakshmaiah University, Vaddeswaram, Guntur, India

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    Doddapineni Rajeev Kumar, P. S. Sravan Kumar Varma, Boggarapu Nageswara Rao. (2017). Optimum Drilling Parameters of Coir Fiber-Reinforced Polyester Composites. American Journal of Mechanical and Industrial Engineering, 2(2), 92-97. https://doi.org/10.11648/j.ajmie.20170202.15

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    ACS Style

    Doddapineni Rajeev Kumar; P. S. Sravan Kumar Varma; Boggarapu Nageswara Rao. Optimum Drilling Parameters of Coir Fiber-Reinforced Polyester Composites. Am. J. Mech. Ind. Eng. 2017, 2(2), 92-97. doi: 10.11648/j.ajmie.20170202.15

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    AMA Style

    Doddapineni Rajeev Kumar, P. S. Sravan Kumar Varma, Boggarapu Nageswara Rao. Optimum Drilling Parameters of Coir Fiber-Reinforced Polyester Composites. Am J Mech Ind Eng. 2017;2(2):92-97. doi: 10.11648/j.ajmie.20170202.15

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  • @article{10.11648/j.ajmie.20170202.15,
      author = {Doddapineni Rajeev Kumar and P. S. Sravan Kumar Varma and Boggarapu Nageswara Rao},
      title = {Optimum Drilling Parameters of Coir Fiber-Reinforced Polyester Composites},
      journal = {American Journal of Mechanical and Industrial Engineering},
      volume = {2},
      number = {2},
      pages = {92-97},
      doi = {10.11648/j.ajmie.20170202.15},
      url = {https://doi.org/10.11648/j.ajmie.20170202.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajmie.20170202.15},
      abstract = {This paper presents optimum drilling parameters of coir fiber reinforced polyester composites following the Taguchi design of experiment. A simple multi-objective optimization approach is suggested and presented an efficient prediction methodology to estimate thrust force, torque and tool wear for the identified optimum process parameters.},
     year = {2017}
    }
    

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    AU  - Doddapineni Rajeev Kumar
    AU  - P. S. Sravan Kumar Varma
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    AB  - This paper presents optimum drilling parameters of coir fiber reinforced polyester composites following the Taguchi design of experiment. A simple multi-objective optimization approach is suggested and presented an efficient prediction methodology to estimate thrust force, torque and tool wear for the identified optimum process parameters.
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