A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis
Abstract Titanium alloys, due to their unique properties, are utilized in numerous modern high-end applications. Electrical Discharge Machining (EDM) is a non-conventional machining process, commonly used in machining of hard-to-cut materials. The current paper, presents an experimental study regard...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-88534-8 |
| _version_ | 1818682861823197184 |
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| author | Emmanouil L. Papazoglou Panagiotis Karmiris-Obratański Beata Leszczyńska-Madej Angelos P. Markopoulos |
| author_facet | Emmanouil L. Papazoglou Panagiotis Karmiris-Obratański Beata Leszczyńska-Madej Angelos P. Markopoulos |
| author_sort | Emmanouil L. Papazoglou |
| collection | DOAJ |
| description | Abstract Titanium alloys, due to their unique properties, are utilized in numerous modern high-end applications. Electrical Discharge Machining (EDM) is a non-conventional machining process, commonly used in machining of hard-to-cut materials. The current paper, presents an experimental study regarding the machining of Titanium Grade2 with EDM, coupled with the development of a simulation model. The machining performance indexes of Material Removal Rate, Tool Wear Ratio, and Average White Layer Thickness were measured and calculated for different pulse-on currents and pulse-on times. Moreover, the developed model that integrates a heat transfer analysis with deformed geometry, allows to estimate the power distribution between the electrode and the workpiece, as well as the Plasma Flushing Efficiency, giving an insight view of the process. Finally, by employing the Response Surface Methodology, educed regression models that correlate the machining parameters with the corresponding results, while for all the aforementioned indexes, ANOVA was performed. |
| first_indexed | 2024-12-17T10:25:34Z |
| format | Article |
| id | doaj.art-35fe0e7709af46479bca07e1f5283d87 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-17T10:25:34Z |
| publishDate | 2021-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-35fe0e7709af46479bca07e1f5283d872022-12-21T21:52:39ZengNature PortfolioScientific Reports2045-23222021-04-0111112110.1038/s41598-021-88534-8A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysisEmmanouil L. Papazoglou0Panagiotis Karmiris-Obratański1Beata Leszczyńska-Madej2Angelos P. Markopoulos3School of Mechanical Engineering, Laboratory of Manufacturing Technology, National Technical University of AthensSchool of Mechanical Engineering, Laboratory of Manufacturing Technology, National Technical University of AthensDepartment of Materials Science and Non-Ferrous Metals Engineering, Faculty of Non-Ferrous Metals, AGH University of Science and TechnologySchool of Mechanical Engineering, Laboratory of Manufacturing Technology, National Technical University of AthensAbstract Titanium alloys, due to their unique properties, are utilized in numerous modern high-end applications. Electrical Discharge Machining (EDM) is a non-conventional machining process, commonly used in machining of hard-to-cut materials. The current paper, presents an experimental study regarding the machining of Titanium Grade2 with EDM, coupled with the development of a simulation model. The machining performance indexes of Material Removal Rate, Tool Wear Ratio, and Average White Layer Thickness were measured and calculated for different pulse-on currents and pulse-on times. Moreover, the developed model that integrates a heat transfer analysis with deformed geometry, allows to estimate the power distribution between the electrode and the workpiece, as well as the Plasma Flushing Efficiency, giving an insight view of the process. Finally, by employing the Response Surface Methodology, educed regression models that correlate the machining parameters with the corresponding results, while for all the aforementioned indexes, ANOVA was performed.https://doi.org/10.1038/s41598-021-88534-8 |
| spellingShingle | Emmanouil L. Papazoglou Panagiotis Karmiris-Obratański Beata Leszczyńska-Madej Angelos P. Markopoulos A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis Scientific Reports |
| title | A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis |
| title_full | A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis |
| title_fullStr | A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis |
| title_full_unstemmed | A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis |
| title_short | A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis |
| title_sort | study on electrical discharge machining of titanium grade2 with experimental and theoretical analysis |
| url | https://doi.org/10.1038/s41598-021-88534-8 |
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