Optimization of dry machining parameters for high-purity graphite in end milling process via design of experiments methods |
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| Authors: | Yung-Kuang Yang Ming-Tsan Chuang Show-Shyan Lin |
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| Affiliation: | 1. Center for Materials Processing and Tribology, School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA;2. M4 Sciences LLC, West Lafayette, IN 47906, USA;1. School of Aerospace Engineering, Xiamen University, Xiamen 361005, PR China;2. School of Aerospace Science and Technology, Xidian University, Xi''an 70071, PR China;1. Guangdong Engineering Technology Research Center of Efficient Green Energy and Environment Protection Materials, Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China;2. Multiscale Computational Materials Facility, Key Laboratory of Eco-Materials Advanced Technology, College of Materials Science and Engineering, Fuzhou University, Fuzhou 350100, China;3. Guangxi Key Laboratory of Superhard Material, China Nonferrous Metal (Guilin) Geology and Mining Co., Ltd., Guilin 541004, China;4. Beijing jwgb Sci & Tech Co. Ltd, Beijing 100055, China;1. Institute of New Energy Material Chemistry, School of Materials Science and Engineering, Nankai University, Tianjin 300071, China;2. Tianjin Key Laboratory of Metal and Molecule Based Material Chemistry, Tianjin 300071, China;1. University of ?ilina, Faculty of Mechanical Engineering, Univerzitná 1, 010 26 ?ilina, Slovakia;2. V?B-Technical University of Ostrava, 17. listopadu 15, 70833 Ostrava, Czech Republic;1. Energy Research Institute at Nanyang Technological University, Singapore, Singapore;2. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore |
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| Abstract: | This investigation applied the designs of experiments (DOE) approach to optimize parameters of a computer numerical control (CNC) in end milling for high-purity graphite under dry machining. The groove difference (i.e., dimensional accuracy of groove width) and the roughness average at the bottom plane of the inside groove (i.e., the plane of end milling) were studied. Planning of experiment was based on a Taguchi orthogonal array table. The analysis of variance (ANOVA) was adapted to identify the most influential factors on the CNC end milling process. Simultaneously, applying regression analysis a mathematical predictive model for predictions of the groove difference and the roughness average has been developed in terms of cutting speed, feed rate, and depth of cut. The feed rate is found to be the most significant factor affecting the groove difference and the roughness average in end milling process for high-purity graphite. Additionally, the tool worn surfaces after machining were examined by the optical zoom scope (OZS). |
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