Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards
The cutting power consumption of milling has direct influence on the economic benefits of manufacturing particle boards. The influence of the milling parameters on the cutting power were investigated in this study. Experiments and data analyses were conducted based on the response surface methodolog...
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| Format: | Article |
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MDPI AG
2022-01-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/3/879 |
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| author | Rongrong Li Qian Yao Wei Xu Jingya Li Xiaodong (Alice) Wang |
| author_facet | Rongrong Li Qian Yao Wei Xu Jingya Li Xiaodong (Alice) Wang |
| author_sort | Rongrong Li |
| collection | DOAJ |
| description | The cutting power consumption of milling has direct influence on the economic benefits of manufacturing particle boards. The influence of the milling parameters on the cutting power were investigated in this study. Experiments and data analyses were conducted based on the response surface methodology. The results show that the input parameters had significant effects on the cutting power. The high rake angle reduced the cutting force. Thus, the cutting power decreased with the increase in the rake angle and the cutting energy consumption was also reduced. The cutting power increased with the rotation speed of the main shaft and the depth of milling induced the impact resistance between the milling tool and particle board and the material removal rate. The <i>p</i>-values of the created models and input parameters were less than 0.05, which meant they were significant for cutting power and power efficiency. The depth of milling was the most important factor, followed by the rotation speed of the main shaft and then the rake angle. Due to the high values of R<sup>2</sup> of 0.9926 and 0.9946, the quadratic models were chosen for creating the relationship between the input parameters and response parameters. The predicted values of cutting power and power efficiency were close to the actual values, which meant the models could perform good predictions. To minimize the cutting power and maximize the power efficiency for the particle board, the optimized parameters obtained via the response surface methodology were 2°, 6991.7 rpm, 1.36 mm for rake angle, rotation speed of the main shaft and depth of milling, respectively. The model further predicted that the optimized parameters combination would achieve cutting power and power efficiency values of 52.4 W and 11.9%, respectively, with the desirability of 0.732. In this study, the influence of the input parameters on the cutting power and power efficiency are revealed and the created models were useful for selecting the milling parameters for particle boards, to reduce the cutting power. |
| first_indexed | 2024-03-09T23:36:46Z |
| format | Article |
| id | doaj.art-21a10160ff144de3acecf8b6f77145d2 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T23:36:46Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-21a10160ff144de3acecf8b6f77145d22023-11-23T16:58:36ZengMDPI AGMaterials1996-19442022-01-0115387910.3390/ma15030879Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle BoardsRongrong Li0Qian Yao1Wei Xu2Jingya Li3Xiaodong (Alice) Wang4Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, ChinaCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, ChinaCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, ChinaAnhui Product Quality Supervision & Inspection Research Institute, Hefei 230051, ChinaDepartment of Wood and Forest Sciences, Laval University, Quebec City, QC G1V 0A6, CanadaThe cutting power consumption of milling has direct influence on the economic benefits of manufacturing particle boards. The influence of the milling parameters on the cutting power were investigated in this study. Experiments and data analyses were conducted based on the response surface methodology. The results show that the input parameters had significant effects on the cutting power. The high rake angle reduced the cutting force. Thus, the cutting power decreased with the increase in the rake angle and the cutting energy consumption was also reduced. The cutting power increased with the rotation speed of the main shaft and the depth of milling induced the impact resistance between the milling tool and particle board and the material removal rate. The <i>p</i>-values of the created models and input parameters were less than 0.05, which meant they were significant for cutting power and power efficiency. The depth of milling was the most important factor, followed by the rotation speed of the main shaft and then the rake angle. Due to the high values of R<sup>2</sup> of 0.9926 and 0.9946, the quadratic models were chosen for creating the relationship between the input parameters and response parameters. The predicted values of cutting power and power efficiency were close to the actual values, which meant the models could perform good predictions. To minimize the cutting power and maximize the power efficiency for the particle board, the optimized parameters obtained via the response surface methodology were 2°, 6991.7 rpm, 1.36 mm for rake angle, rotation speed of the main shaft and depth of milling, respectively. The model further predicted that the optimized parameters combination would achieve cutting power and power efficiency values of 52.4 W and 11.9%, respectively, with the desirability of 0.732. In this study, the influence of the input parameters on the cutting power and power efficiency are revealed and the created models were useful for selecting the milling parameters for particle boards, to reduce the cutting power.https://www.mdpi.com/1996-1944/15/3/879cutting powerpower efficiencyparticle boardmillingresponse surface methodology |
| spellingShingle | Rongrong Li Qian Yao Wei Xu Jingya Li Xiaodong (Alice) Wang Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards Materials cutting power power efficiency particle board milling response surface methodology |
| title | Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards |
| title_full | Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards |
| title_fullStr | Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards |
| title_full_unstemmed | Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards |
| title_short | Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards |
| title_sort | study of cutting power and power efficiency during straight tooth cylindrical milling process of particle boards |
| topic | cutting power power efficiency particle board milling response surface methodology |
| url | https://www.mdpi.com/1996-1944/15/3/879 |
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