Mathematical Expression for Machining Performance
| Main Authors: | Md. Ashikur Rahman Khan, M. M. Rahman |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2018
|
| Online Access: |
https://zenodo.org/record/2021567 |
| ctrlnum |
2021567 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Md. Ashikur Rahman Khan</creator><creator>M. M. Rahman</creator><date>2018-10-04</date><description>In electrical discharge machining (EDM), a complete and clear theory has not yet been established. The developed theory (physical models) yields results far from reality due to the complexity of the physics. It is difficult to select proper parameter settings in order to achieve better EDM performance. However, modelling can solve this critical problem concerning the parameter settings. Therefore, the purpose of the present work is to develop mathematical model to predict performance characteristics of EDM on Ti-5Al-2.5Sn titanium alloy. Response surface method (RSM) and artificial neural network (ANN) are employed to develop the mathematical models. The developed models are verified through analysis of variance (ANOVA). The ANN models are trained, tested, and validated utilizing a set of data. It is found that the developed ANN and mathematical model can predict performance of EDM effectively. Thus, the model has found a precise tool that turns EDM process cost-effective and more efficient.</description><identifier>https://zenodo.org/record/2021567</identifier><identifier>10.5281/zenodo.2021567</identifier><identifier>oai:zenodo.org:2021567</identifier><language>eng</language><relation>doi:10.5281/zenodo.2021566</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Engineering, Mathematical and Physical Sciences 11.0(11)</source><title>Mathematical Expression for Machining Performance</title><type>Journal:Article</type><type>Journal:Article</type><recordID>2021567</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal |
| author |
Md. Ashikur Rahman Khan M. M. Rahman |
| title |
Mathematical Expression for Machining Performance |
| publishDate |
2018 |
| url |
https://zenodo.org/record/2021567 |
| contents |
In electrical discharge machining (EDM), a complete and clear theory has not yet been established. The developed theory (physical models) yields results far from reality due to the complexity of the physics. It is difficult to select proper parameter settings in order to achieve better EDM performance. However, modelling can solve this critical problem concerning the parameter settings. Therefore, the purpose of the present work is to develop mathematical model to predict performance characteristics of EDM on Ti-5Al-2.5Sn titanium alloy. Response surface method (RSM) and artificial neural network (ANN) are employed to develop the mathematical models. The developed models are verified through analysis of variance (ANOVA). The ANN models are trained, tested, and validated utilizing a set of data. It is found that the developed ANN and mathematical model can predict performance of EDM effectively. Thus, the model has found a precise tool that turns EDM process cost-effective and more efficient. |
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2022-06-06T03:25:32Z |
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