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...
| Main Authors: | , , , , , , |
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| Format: | Article |
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Elsevier
2022
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| _version_ | 1825938869936193536 |
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| author | Effendy, N. Zaid, M. H. M. Sidek, H. A. A. Halimah, M. K. Shabdin, Muhammad Kashfi Yusof, K. A. Mayzan, Mohd Zul Hilmi |
| 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. |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T11:18:44Z |
| format | Article |
| id | upm.eprints-103546 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T11:18:44Z |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
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