Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites
During machining Al/SiCp composites, the machined surface takes on many defects such as grooves, pits, voids and protuberances, which greatly affect the characterization parameters of surface topography. However, a detailed investigation of the formation mechanism of surface defects in machining Al/...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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The Japan Society of Mechanical Engineers
2018-01-01
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| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/12/1/12_2018jamdsm0005/_pdf/-char/en |
| _version_ | 1828271635728171008 |
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| author | Chunzheng DUAN Wei SUN Zhan FENG Fangyuan ZHANG |
| author_facet | Chunzheng DUAN Wei SUN Zhan FENG Fangyuan ZHANG |
| author_sort | Chunzheng DUAN |
| collection | DOAJ |
| description | During machining Al/SiCp composites, the machined surface takes on many defects such as grooves, pits, voids and protuberances, which greatly affect the characterization parameters of surface topography. However, a detailed investigation of the formation mechanism of surface defects in machining Al/SiCp composites is still lacking, and few surface roughness evaluation methods have been developed for separating the surface defects from roughness. In this paper, the formation mechanism of surface defects is revealed, and a roughness extraction method based on DT-CWT is established to extract the surface defects from roughness and conduct a roughness evaluation on the machined surface of Al/SiCp composites. Compared with the least-square method and Gaussian filter, the roughness extraction method based on DT-CWT has higher stability and can effectively distinguish between surface roughness and surface defects. According to the surface roughness evaluation based on the roughness extraction method, it is found that the surface roughness value of 2024Al/SiCp composite is lower compared to 6063Al/SiCp composite. |
| first_indexed | 2024-04-13T05:56:04Z |
| format | Article |
| id | doaj.art-82bb8fc00d2642ae95213671a24a8f36 |
| institution | Directory Open Access Journal |
| issn | 1881-3054 |
| language | English |
| last_indexed | 2024-04-13T05:56:04Z |
| publishDate | 2018-01-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj.art-82bb8fc00d2642ae95213671a24a8f362022-12-22T02:59:38ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542018-01-01121JAMDSM0005JAMDSM000510.1299/jamdsm.2018jamdsm0005jamdsmDefects formation mechanism and evaluation of surface roughness in machining Al/SiCp compositesChunzheng DUAN0Wei SUN1Zhan FENG2Fangyuan ZHANG3School of Mechanical Engineering, Dalian University of TechnologySchool of Mechanical Engineering, Dalian University of TechnologySchool of Mechanical Engineering, Dalian University of TechnologySchool of Mechanical Engineering, Dalian University of TechnologyDuring machining Al/SiCp composites, the machined surface takes on many defects such as grooves, pits, voids and protuberances, which greatly affect the characterization parameters of surface topography. However, a detailed investigation of the formation mechanism of surface defects in machining Al/SiCp composites is still lacking, and few surface roughness evaluation methods have been developed for separating the surface defects from roughness. In this paper, the formation mechanism of surface defects is revealed, and a roughness extraction method based on DT-CWT is established to extract the surface defects from roughness and conduct a roughness evaluation on the machined surface of Al/SiCp composites. Compared with the least-square method and Gaussian filter, the roughness extraction method based on DT-CWT has higher stability and can effectively distinguish between surface roughness and surface defects. According to the surface roughness evaluation based on the roughness extraction method, it is found that the surface roughness value of 2024Al/SiCp composite is lower compared to 6063Al/SiCp composite.https://www.jstage.jst.go.jp/article/jamdsm/12/1/12_2018jamdsm0005/_pdf/-char/enal/sicp compositessurface roughnesscutting forcefractal dimensiondual tree complex wavelet transform |
| spellingShingle | Chunzheng DUAN Wei SUN Zhan FENG Fangyuan ZHANG Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites Journal of Advanced Mechanical Design, Systems, and Manufacturing al/sicp composites surface roughness cutting force fractal dimension dual tree complex wavelet transform |
| title | Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites |
| title_full | Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites |
| title_fullStr | Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites |
| title_full_unstemmed | Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites |
| title_short | Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites |
| title_sort | defects formation mechanism and evaluation of surface roughness in machining al sicp composites |
| topic | al/sicp composites surface roughness cutting force fractal dimension dual tree complex wavelet transform |
| url | https://www.jstage.jst.go.jp/article/jamdsm/12/1/12_2018jamdsm0005/_pdf/-char/en |
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