Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions
Ultrasonic vibration assisted grinding (UAG) has proven to lower the forces and improve the ground surface quality while shaping difficult to grind materials such as ceramics. A systematic study of UAG of alumina ceramic using a metal bonded diamond grinding wheel has been performed here. Taguchi’s...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2020-01-01
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| Series: | Materials Research Express |
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| Online Access: | https://doi.org/10.1088/2053-1591/abad14 |
| _version_ | 1797746276652023808 |
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| author | Sreethul Das C Pandivelan |
| author_facet | Sreethul Das C Pandivelan |
| author_sort | Sreethul Das |
| collection | DOAJ |
| description | Ultrasonic vibration assisted grinding (UAG) has proven to lower the forces and improve the ground surface quality while shaping difficult to grind materials such as ceramics. A systematic study of UAG of alumina ceramic using a metal bonded diamond grinding wheel has been performed here. Taguchi’s L18 array based experimentation has been performed to study the effect of UAG parameters. During UAG, the vibration amplitudes of 6 and 12 microns have been used and the frequency has been kept at 20 kHz. From these experiments, optimum parameters for UAG have been identified using Grey relational analysis. Mathematical models generated using regression analysis have been found to correlate the experimental data with good accuracy. A comparison of the grinding forces and roughness of the surfaces generated in dry and minimum quantity lubrication (MQL) conditions in both conventional grinding and optimal condition in UAG has been performed to identify the beneficial effects of providing vibration to the workpiece. The surface quality has been evaluated using 3D roughness data, 3D plots and SEM images of the ground surface. By examining nature of the ground surface and kurtosis (S _ku ) values of the surface profile, it has been concluded that UAG reduces brittle fracture and facilitates material removal by ductile mode for alumina. The desired condition of least machining forces and highest surface quality has been achieved during the combination of UAG and MQL. |
| first_indexed | 2024-03-12T15:34:30Z |
| format | Article |
| id | doaj.art-7ff314bde8464ef693f0e057728c14e5 |
| institution | Directory Open Access Journal |
| issn | 2053-1591 |
| language | English |
| last_indexed | 2024-03-12T15:34:30Z |
| publishDate | 2020-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Materials Research Express |
| spelling | doaj.art-7ff314bde8464ef693f0e057728c14e52023-08-09T16:16:39ZengIOP PublishingMaterials Research Express2053-15912020-01-017808540410.1088/2053-1591/abad14Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditionsSreethul Das0https://orcid.org/0000-0002-8945-6228C Pandivelan1https://orcid.org/0000-0001-8224-2959School of Mechanical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, IndiaSchool of Mechanical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, IndiaUltrasonic vibration assisted grinding (UAG) has proven to lower the forces and improve the ground surface quality while shaping difficult to grind materials such as ceramics. A systematic study of UAG of alumina ceramic using a metal bonded diamond grinding wheel has been performed here. Taguchi’s L18 array based experimentation has been performed to study the effect of UAG parameters. During UAG, the vibration amplitudes of 6 and 12 microns have been used and the frequency has been kept at 20 kHz. From these experiments, optimum parameters for UAG have been identified using Grey relational analysis. Mathematical models generated using regression analysis have been found to correlate the experimental data with good accuracy. A comparison of the grinding forces and roughness of the surfaces generated in dry and minimum quantity lubrication (MQL) conditions in both conventional grinding and optimal condition in UAG has been performed to identify the beneficial effects of providing vibration to the workpiece. The surface quality has been evaluated using 3D roughness data, 3D plots and SEM images of the ground surface. By examining nature of the ground surface and kurtosis (S _ku ) values of the surface profile, it has been concluded that UAG reduces brittle fracture and facilitates material removal by ductile mode for alumina. The desired condition of least machining forces and highest surface quality has been achieved during the combination of UAG and MQL.https://doi.org/10.1088/2053-1591/abad14ultrasonic assisted grindingceramicsGrey relational analysis3D parameterssurface qualitydry and MQL conditions |
| spellingShingle | Sreethul Das C Pandivelan Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions Materials Research Express ultrasonic assisted grinding ceramics Grey relational analysis 3D parameters surface quality dry and MQL conditions |
| title | Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions |
| title_full | Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions |
| title_fullStr | Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions |
| title_full_unstemmed | Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions |
| title_short | Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions |
| title_sort | grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and mql conditions |
| topic | ultrasonic assisted grinding ceramics Grey relational analysis 3D parameters surface quality dry and MQL conditions |
| url | https://doi.org/10.1088/2053-1591/abad14 |
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