Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub>
Despite extensive research over the past three decades proving that laser-assisted machining (LAM) is effective for machining ceramic materials, which are affected by many machining parameters, there has been no systematic study of the effects of process parameters on surface quality in LAM ceramic...
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| Format: | Article |
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MDPI AG
2021-01-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/14/3/529 |
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| author | Yezhuang Pu Yugang Zhao Jianbing Meng Guoyong Zhao Haiyun Zhang Qian Liu |
| author_facet | Yezhuang Pu Yugang Zhao Jianbing Meng Guoyong Zhao Haiyun Zhang Qian Liu |
| author_sort | Yezhuang Pu |
| collection | DOAJ |
| description | Despite extensive research over the past three decades proving that laser-assisted machining (LAM) is effective for machining ceramic materials, which are affected by many machining parameters, there has been no systematic study of the effects of process parameters on surface quality in LAM ceramic materials. In this paper, the effects and optimization of laser power, spindle speed, feed rate, and cutting depth on surface roughness and work hardening of LAM Si<sub>3</sub>N<sub>4</sub> were systematically studied, using grey relational analysis coupled with the Taguchi method. The results show that the combination of machining parameters determines the material removal mode at the material removal location, and then affects the surface quality. In ductile material removal mode, both the value of surface roughness and work hardening degree are smaller. Decreased surface roughness and work hardening degree can be obtained with smaller cutting depth and higher laser power. |
| first_indexed | 2024-03-09T03:57:59Z |
| format | Article |
| id | doaj.art-dcc986a5b7764d65b98e5a3d40c99e38 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T03:57:59Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-dcc986a5b7764d65b98e5a3d40c99e382023-12-03T14:17:55ZengMDPI AGMaterials1996-19442021-01-0114352910.3390/ma14030529Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub>Yezhuang Pu0Yugang Zhao1Jianbing Meng2Guoyong Zhao3Haiyun Zhang4Qian Liu5School of Mechanical Engineering, Shandong University of Technology, Zibo 255049, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255049, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255049, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255049, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255049, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255049, ChinaDespite extensive research over the past three decades proving that laser-assisted machining (LAM) is effective for machining ceramic materials, which are affected by many machining parameters, there has been no systematic study of the effects of process parameters on surface quality in LAM ceramic materials. In this paper, the effects and optimization of laser power, spindle speed, feed rate, and cutting depth on surface roughness and work hardening of LAM Si<sub>3</sub>N<sub>4</sub> were systematically studied, using grey relational analysis coupled with the Taguchi method. The results show that the combination of machining parameters determines the material removal mode at the material removal location, and then affects the surface quality. In ductile material removal mode, both the value of surface roughness and work hardening degree are smaller. Decreased surface roughness and work hardening degree can be obtained with smaller cutting depth and higher laser power.https://www.mdpi.com/1996-1944/14/3/529laser-assisted machiningsilicon nitride ceramicsurface roughnesswork hardeningprocess parameters |
| spellingShingle | Yezhuang Pu Yugang Zhao Jianbing Meng Guoyong Zhao Haiyun Zhang Qian Liu Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub> Materials laser-assisted machining silicon nitride ceramic surface roughness work hardening process parameters |
| title | Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub> |
| title_full | Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub> |
| title_fullStr | Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub> |
| title_full_unstemmed | Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub> |
| title_short | Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si<sub>3</sub>N<sub>4</sub> |
| title_sort | process parameters optimization using taguchi based grey relational analysis in laser assisted machining of si sub 3 sub n sub 4 sub |
| topic | laser-assisted machining silicon nitride ceramic surface roughness work hardening process parameters |
| url | https://www.mdpi.com/1996-1944/14/3/529 |
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