Optimum abrasive wear resistance for epoxy composites reinforced with polyethylene (PET) waste using Taguchi design and neural network

Salwa A. Abed, Ahmad A. Khalaf, Muzher Taha Mohamed, Muammel M. Hanon

Open source

DOI: 10.15587/1729-4061.2023.272534
Published: 2023-02-24
Container: Eastern-European Journal of Enterprise Technologies
Publisher: Private Company Technology Center
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.15587/1729-4061.2023.272534,
  title = {Optimum abrasive wear resistance for epoxy composites reinforced with polyethylene (PET) waste using Taguchi design and neural network},
  author = {Salwa A. Abed and Ahmad A. Khalaf and Muzher Taha Mohamed and Muammel M. Hanon},
  year = {2023},
  journal = {Eastern-European Journal of Enterprise Technologies},
  doi = {10.15587/1729-4061.2023.272534},
  url = {https://doi.org/10.15587/1729-4061.2023.272534}
}

RIS

TY  - JOUR
TI  - Optimum abrasive wear resistance for epoxy composites reinforced with polyethylene (PET) waste using Taguchi design and neural network
AU  - Salwa A. Abed
AU  - Ahmad A. Khalaf
AU  - Muzher Taha Mohamed
AU  - Muammel M. Hanon
PY  - 2023
JO  - Eastern-European Journal of Enterprise Technologies
DO  - 10.15587/1729-4061.2023.272534
UR  - https://doi.org/10.15587/1729-4061.2023.272534
ER  -

APA

Abed, S. A., Khalaf, A. A., Mohamed, M. T., & Hanon, M. M. (2023). Optimum abrasive wear resistance for epoxy composites reinforced with polyethylene (PET) waste using Taguchi design and neural network. Eastern-European Journal of Enterprise Technologies. https://doi.org/10.15587/1729-4061.2023.272534

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crossref · retrieved 2026-11-10T23:54:29.819Z