Staff View: The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation

The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation

The introduction of artificial neural networks (ANNs) in the glass field has greatly improved this industry to further increase fabrication productivity. ANNs are the systems that help the glass expert to estimate a few parameters such as density, molar volume, ultrasonic velocity, elastic moduli an...

Full description

Saved in:

Bibliographic Details
Main Authors:	Effendy, N., Zaid, M. H. M., Sidek, H. A. A., Halimah, M. K., Shabdin, Muhammad Kashfi, Yusof, K. A., Mayzan, Mohd Zul Hilmi
Format:	Article
Published:	Elsevier 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/103546/ https://www.sciencedirect.com/science/article/pii/S092534672200204X
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.upm.eprints.103546
record_format	eprints
spelling	my.upm.eprints.1035462023-05-23T02:43:34Z http://psasir.upm.edu.my/id/eprint/103546/ The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation Effendy, N. Zaid, M. H. M. Sidek, H. A. A. Halimah, M. K. Shabdin, Muhammad Kashfi Yusof, K. A. Mayzan, Mohd Zul Hilmi The introduction of artificial neural networks (ANNs) in the glass field has greatly improved this industry to further increase fabrication productivity. ANNs are the systems that help the glass expert to estimate a few parameters such as density, molar volume, ultrasonic velocity, elastic moduli and optical band gap in the glass composition. The greatness of this system was implemented in a series of bismuth-borate (Bi2O3-B2O3) glasses which have been successfully produced using melting and quenching methods with the configuration of mBi2O3- (100-m)B2O3 where m = 0, 40, 45, 50, 55, 60 mol%. In this present works, the experimental values resulting from the composition of this glass series were compared with the values obtained from the estimation by ANNs. This study has concluded that the ANNs system is relevant to be used in the fields of glass industry since the coefficient of R2 values showed by the density, molar volume, ultrasonic velocity, elastic moduli and optical band gap graph is between 0.998 and 1.0000 which believed highly desirable. Elsevier 2022 Article PeerReviewed Effendy, N. and Zaid, M. H. M. and Sidek, H. A. A. and Halimah, M. K. and Shabdin, Muhammad Kashfi and Yusof, K. A. and Mayzan, Mohd Zul Hilmi (2022) The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation. Optical Materials, 126. art. no. 112170. pp. 1-18. ISSN 0925-3467; ESSN: 1873-1252 https://www.sciencedirect.com/science/article/pii/S092534672200204X 10.1016/j.optmat.2022.112170
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
description	The introduction of artificial neural networks (ANNs) in the glass field has greatly improved this industry to further increase fabrication productivity. ANNs are the systems that help the glass expert to estimate a few parameters such as density, molar volume, ultrasonic velocity, elastic moduli and optical band gap in the glass composition. The greatness of this system was implemented in a series of bismuth-borate (Bi2O3-B2O3) glasses which have been successfully produced using melting and quenching methods with the configuration of mBi2O3- (100-m)B2O3 where m = 0, 40, 45, 50, 55, 60 mol%. In this present works, the experimental values resulting from the composition of this glass series were compared with the values obtained from the estimation by ANNs. This study has concluded that the ANNs system is relevant to be used in the fields of glass industry since the coefficient of R2 values showed by the density, molar volume, ultrasonic velocity, elastic moduli and optical band gap graph is between 0.998 and 1.0000 which believed highly desirable.
format	Article
author	Effendy, N. Zaid, M. H. M. Sidek, H. A. A. Halimah, M. K. Shabdin, Muhammad Kashfi Yusof, K. A. Mayzan, Mohd Zul Hilmi
spellingShingle	Effendy, N. Zaid, M. H. M. Sidek, H. A. A. Halimah, M. K. Shabdin, Muhammad Kashfi Yusof, K. A. Mayzan, Mohd Zul Hilmi The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation
author_facet	Effendy, N. Zaid, M. H. M. Sidek, H. A. A. Halimah, M. K. Shabdin, Muhammad Kashfi Yusof, K. A. Mayzan, Mohd Zul Hilmi
author_sort	Effendy, N.
title	The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation
title_short	The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation
title_full	The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation
title_fullStr	The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation
title_full_unstemmed	The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation
title_sort	elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation
publisher	Elsevier
publishDate	2022
url	http://psasir.upm.edu.my/id/eprint/103546/ https://www.sciencedirect.com/science/article/pii/S092534672200204X
_version_	1768009469395992576
score	13.211869

The elastic, mechanical and optical properties of bismuth modified borate glass: experimental and artificial neural network simulation

Similar Items