NDLI: Modeling for Prediction of Surface Roughness and Experimental Research in Ultra-Precision Flycutting Machining

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Modeling for Prediction of Surface Roughness and Experimental Research in Ultra-Precision Flycutting Machining

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Modeling for Prediction of Surface Roughness and Experimental Research in Ultra-Precision Flycutting Machining

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Li, Jiasheng Jiao, Yang Liu, Pinkuan
Copyright Year	2018
Abstract	To improve the surface quality of the copper and reduce the diamond tool wear, a prediction model is established experimentally for the relationship between surface roughness and machining parameters. Based on the processing principle of flycutting machining, the prediction model for surface roughness is set up by response surface methodology. Then, a machining experiment for the copper is conducted under different cutting parameters designed by Taguchi method and the surface roughness is tested by 4D technology dynamic laser interferometer. After that, the prediction model is obtained by analyzing the experimental data, and the accuracy of the model is verified by analysis of variance (ANOVA), R2 value and residual analysis. Furthermore, the effect of cutting parameters upon the surface roughness is analyzed. Finally, validation tests are conducted to verify the model. Experimental results demonstrate that the prediction model is adequate at 95% confidence level. The output of prediction model helps to select cutting parameters to reduce surface roughness which ensures surface quality in ultra-precision fly cutting machining.
Sponsorship	Manufacturing Engineering Division
File Format	PDF
ISBN	9780791851371
DOI	10.1115/MSEC2018-6725
Volume Number	Volume 3: Manufacturing Equipment and Systems
Conference Proceedings	ASME 2018 13th International Manufacturing Science and Engineering Conference
Language	English
Publisher Date	2018-06-18
Publisher Place	College Station, Texas, USA
Access Restriction	Subscribed
Subject Keyword	Cutting Lasers Wear Machining Taguchi methods Surface roughness Surface quality Diamond tools Response surface methodology Copper Modeling Interferometers
Content Type	Text
Resource Type	Article

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