Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks

Baroiu, Nicusor; Costin, Georgiana-Alexandra; Teodor, Virgil Gabriel; Nedelcu, Dumitru; Tabacaru, Valentin

Nicusor Baroiu, Georgiana-Alexandra Costin, Virgil Gabriel Teodor, Dumitru Nedelcu, Valentin Tabacaru

Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks

Abstract:
Polymeric materials are synthetic macromolecular products, of which, by mechanical or thermal processing, objects of various shapes can be obtained, with wide uses in industry and commerce. This paper deals with the roughness of surfaces obtained during drilling of three polymeric materials: polyamide - PA6, polyacetal - POM-C and high density polyamide - HDPE 1000. In the experimental research was used a EMCO MILL 55 milling machine numerical controlled and HS steel helical drills with two straight cutting edges with the diameter of Ø8 mm and Ø10 mm, respectively. Experimental determinations consisted in drilling of the polymeric materials by modifying some parameters of the cutting regime, and determining the roughness of the surface of the holes machined, using the Mitutoyo Surftest SJ-210 rough meter. The purpose of the paper is to predict the roughness of the machined surfaces as one of the important surface quality indicators by using a geometrical model and an artificial neural network (ANN) methodology.

Keywords:
roughness; helical drill; polymeric materials; artificial neural network (ANN)

Issue: 2020 Volume 57, Issue 3

Pages: 160-173

Publication date: 2020/9/30

https://doi.org/10.37358/MP.20.3.5390

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This article is published under the Creative Commons Attribution 4.0 International License

Citation Styles

Cite this article as:
BAROIU, N., COSTIN, G., TEODOR, V.G., NEDELCU, D., TABACARU, V., Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks, Mater. Plast., 57(3), 2020, 160-173. https://doi.org/10.37358/MP.20.3.5390

Vancouver
Baroiu N, Costin G, Teodor VG, Nedelcu D, Tabacaru V. Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks. Mater. Plast.[internet]. 2020 Jul;57(3):160-173. Available from: https://doi.org/10.37358/MP.20.3.5390

APA 6th edition
Baroiu, N., Costin, G., Teodor, V.G., Nedelcu, D. & Tabacaru, V. (2020). Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks. Materiale Plastice, 57(3), 160-173. https://doi.org/10.37358/MP.20.3.5390

Harvard
Baroiu, N., Costin, G., Teodor, V.G., Nedelcu, D., Tabacaru, V. (2020). 'Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks', Materiale Plastice, 57(3), pp. 160-173. https://doi.org/10.37358/MP.20.3.5390

IEEE
N. Baroiu, G. Costin, V.G. Teodor, D. Nedelcu, V. Tabacaru, "Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks". Materiale Plastice, vol. 57, no. 3, pp. 160-173, 2020. [online]. https://doi.org/10.37358/MP.20.3.5390

Text
Nicusor Baroiu, Georgiana-Alexandra Costin, Virgil Gabriel Teodor, Dumitru Nedelcu, Valentin Tabacaru,
Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks,
Materiale Plastice,
Volume 57, Issue 3,
2020,
Pages 160-173,
ISSN 2668-8220,
https://doi.org/10.37358/MP.20.3.5390.
(https://revmaterialeplastice.ro/Articles.asp?ID=5390)
Keywords: roughness; helical drill; polymeric materials; artificial neural network (ANN)

RIS
TY - JOUR
T1 - Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks
A1 - Baroiu, Nicusor
A2 - Costin, Georgiana-Alexandra
A3 - Teodor, Virgil Gabriel
A4 - Nedelcu, Dumitru
A5 - Tabacaru, Valentin
JF - Materiale Plastice
JO - Mater. Plast.
PB - Materiale Plastice SRL
SN - 2668-8220
Y1 - 2020
VL - 57
IS - 3
SP - 160
EP - 173
UR - https://doi.org/10.37358/MP.20.3.5390
KW - roughness
KW - helical drill
KW - polymeric materials
KW - artificial neural network (ANN)
ER -

BibTex
@article{MatPlast2020P160,
author = {Baroiu Nicusor and Costin Georgiana-Alexandra and Teodor Virgil Gabriel and Nedelcu Dumitru and Tabacaru Valentin},
title = {Prediction of Surface Roughness in Drilling of Polymers using a Geometrical Model and Artificial Neural Networks},
journal = {Materiale Plastice},
volume = {57},
number = {3},
pages = {160-173},
year = {2020},
issn = {2668-8220},
doi = {https://doi.org/10.37358/MP.20.3.5390},
url = {https://revmaterialeplastice.ro/Articles.asp?ID=5390}
}

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