Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach
The present work’s main contribution is applying kurtosis quantification to analyse complicated or random type of milling vibration signals under dry and minimal quantity lubrication (MQL) to achieve good surface quality. The milling process is carried out using coated and uncoated cutting tools on...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Centre for Advanced Research on Energy (CARe)
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/37109/ http://umpir.ump.edu.my/id/eprint/37109/1/Evaluation%20of%20minimal%20quantity%20lubrication%20effects%20.pdf http://umpir.ump.edu.my/id/eprint/37109/2/Evaluation%20of%20minimal%20quantity%20lubrication%20effects_FULL.pdf |
| _version_ | 1848825168012509184 |
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| author | Jamil, Norlida Zamri, Mohd Fawzi Yusoff, A. R. |
| author_facet | Jamil, Norlida Zamri, Mohd Fawzi Yusoff, A. R. |
| author_sort | Jamil, Norlida |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The present work’s main contribution is applying kurtosis quantification to analyse complicated or random type of milling vibration signals under dry and minimal quantity lubrication (MQL) to achieve good surface quality. The milling process is carried out using coated and uncoated cutting tools on ductile iron under the selected MQL volume flow rate parameter. The results obtained from kurtosis and skewness measurement are then verified with average surface roughness measurement (Ra). From the experimental work, it was found that kurtosis demonstrate the effectiveness on feature extraction. The dry milling using uncoated tools contributes high values of vibration signals and surface roughness. Meanwhile, the Ra values improvement, which reduces by 70% when MQL is applied. |
| first_indexed | 2025-11-15T03:24:38Z |
| format | Conference or Workshop Item |
| id | ump-37109 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:24:38Z |
| publishDate | 2020 |
| publisher | Centre for Advanced Research on Energy (CARe) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-371092023-02-27T04:43:49Z http://umpir.ump.edu.my/id/eprint/37109/ Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach Jamil, Norlida Zamri, Mohd Fawzi Yusoff, A. R. TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery The present work’s main contribution is applying kurtosis quantification to analyse complicated or random type of milling vibration signals under dry and minimal quantity lubrication (MQL) to achieve good surface quality. The milling process is carried out using coated and uncoated cutting tools on ductile iron under the selected MQL volume flow rate parameter. The results obtained from kurtosis and skewness measurement are then verified with average surface roughness measurement (Ra). From the experimental work, it was found that kurtosis demonstrate the effectiveness on feature extraction. The dry milling using uncoated tools contributes high values of vibration signals and surface roughness. Meanwhile, the Ra values improvement, which reduces by 70% when MQL is applied. Centre for Advanced Research on Energy (CARe) 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37109/1/Evaluation%20of%20minimal%20quantity%20lubrication%20effects%20.pdf pdf en http://umpir.ump.edu.my/id/eprint/37109/2/Evaluation%20of%20minimal%20quantity%20lubrication%20effects_FULL.pdf Jamil, Norlida and Zamri, Mohd Fawzi and Yusoff, A. R. (2020) Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach. In: 7th Mechanical Engineering Research Day (MERD'20) , 16 December 2020 , Kampus Teknologi UTeM (virtual), Melaka. pp. 369-370.. ISBN 978-967-2454-36-6 (Published) https://www3.utem.edu.my/care/proceedings/merd20/pdf/10_Surface_Engineering_and_Tribology/160-p369_370.pdf |
| spellingShingle | TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Jamil, Norlida Zamri, Mohd Fawzi Yusoff, A. R. Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach |
| title | Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach |
| title_full | Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach |
| title_fullStr | Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach |
| title_full_unstemmed | Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach |
| title_short | Evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach |
| title_sort | evaluation of minimal quantity lubrication effects on surface roughness in milling with coated and uncoated tools using kurtosis quantification method approach |
| topic | TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/37109/ http://umpir.ump.edu.my/id/eprint/37109/ http://umpir.ump.edu.my/id/eprint/37109/1/Evaluation%20of%20minimal%20quantity%20lubrication%20effects%20.pdf http://umpir.ump.edu.my/id/eprint/37109/2/Evaluation%20of%20minimal%20quantity%20lubrication%20effects_FULL.pdf |