| SURFACE ROUGHNESS PREDICTION MODEL FOR ULTRAPRECISION TURNING ALUMINIUM ALLOY WITH A SINGLE CRYSTAL DIAMOND TOOL |
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| 作者姓名： | Wang Hongxiang Li Dan Dong shen Precision Engineering Research Institute Harbin Institute of Technology Harbin China |
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| 作者单位： | Wang Hongxiang Li Dan Dong shen Precision Engineering Research Institute，Harbin Institute of Technology，Harbin 150001，China |
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| 基金项目： | This project is supported by National Natural Science Foun-dation of China （No. 59835180），Scientific Research Foundation of HIT （No.HIT.2000.63）. |
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| 摘 要： | A surface roughness model utilizing regression analysis method is developed for predicting roughness of ultra-precision machined surface with a single crystal diamond tool. The effects of the main variables, such as cutting speed, feed, and depth of cut on surface roughness are also analyzed in diamond turning aluminum alloy. In order to predict and control the surface roughness before ultraprecision machining, constrained variable metric method is used to select the optimum cutting conditions during process planning. A lot of experimental results show that the model can predict the surface roughness effectively under a certain cutting conditions .
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SURFACE ROUGHNESS PREDICTION MODEL FOR ULTRAPRECISION TURNING ALUMINIUM ALLOYWITH A SINGLE CRYSTAL DIAMOND TOOL |
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| Wang Hongxiang Li Dan Dong shen Precision Engineering Research Institute,Harbin Institute of Technology,Harbin ,China.SURFACE ROUGHNESS PREDICTION MODEL FOR ULTRAPRECISION TURNING ALUMINIUM ALLOY WITH A SINGLE CRYSTAL DIAMOND TOOL[J].Chinese Journal of Mechanical Engineering,2002,15(2):153-156,176. |
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| Authors: | Wang Hongxiang Li Dan Dong shen |
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| Affiliation: | Precision Engineering Research Institute,Harbin Institute of Technology,Harbin 150001,China Precision Engineering Research Institute,Harbin Institute of Technology,Harbin 150001,China Precision Engineering Research Institute,Harbin Institute of Technology,Harbin 150001,China |
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| Abstract: | A surface roughness model utilizing regression analysis method is developed for predicting roughness of ultra-precision machined surface with a single crystal diamond tool. The effects of the main variables, such as cutting speed, feed, and depth of cut on surface roughness are also analyzed in diamond turning aluminum alloy. In order to predict and control the surface roughness before ultraprecision machining, constrained variable metric method is used to select the optimum cutting conditions during process planning. A lot of experimental results show that the model can predict the surface roughness effectively under a certain cutting conditions . |
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| Keywords: | Surface roughness Regression analysis Diamond turning Diamond tool |
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