Interference-Free Tool Positioning for Five-Axis Sculptured Surface Machining Using ThirdOrder Point Contact Approach

Abstract

Abstract: Based on the third-order local approximation of tool envelope surface, an interferencefree tool positioning strategy was proposed for five-axis sculptured surface machining with a constraint on the tool feasibility space. The tool feasibility space is constructed by analyzing the local and global interferences， which is indicated by the distance between the design surface and the tool axis. On this basis, the tool orientations are adjusted and optimized to achieve the optimal contact between the tool envelope surface and the design surface within the computed tool feasibility space. The numerical examples indicate that the proposed method can avoid interferences effectively and improve the machining strip width greatly.

Key words: sculptured surface, flat-end cutter, thirdorder point contact, interference, tool positioning

CLC Number:

TP391

ZHENG Gang, LU Yao-An, ZHU Li-Min. Interference-Free Tool Positioning for Five-Axis Sculptured Surface Machining Using ThirdOrder Point Contact Approach [J]. Journal of Shanghai Jiaotong University, 2012, 46(02): 172-177.

References

［1］Lee Y S. Admissible tool orientation control of gouging avoidance for 5axis complex surface machining［J］. ComputerAided Design, 1997, 29(7): 507521.
［2］Bedi S, Gravelle S, Chen Y H. Principal curvature alignment technique for machining complex surface［J］.Trans of ASME, Journal of Manufacturing Science & Engineering, 1997, 119(4):756765.
［3］Chiou C J, Lee Y S. A machining potential field approach to tool path generation for multiaxis sculptured surface machining［J］.ComputerAided Design, 2002, 34(5): 357371.
［4］王小椿, 吴序堂, 李艳斌. 密切曲率法——一种自由曲面加工的新概念［J］. 西安交通大学学报, 1992, 26(5): 5158.
WANG Xiao chun,WU Xu tang,LI Yan bin. Curvature catering: A new concept for machining sculptured surfaces［J］.Journal of Shanghai Jiaotong University, 1992, 26(5): 5158.
［5］Rao A, Sarma R. On local gouging in fiveaxis sculptured surface machining using flatend tools［J］.ComputerAided Design, 2000, 32: 409420.
［6］Sarma R. Flatended tool swept sections for fiveaxis NC machining of sculptured surfaces［J］.Trans of ASME, Journal of Manufacturing Science & Engineering, 2000, 122(1): 158165.
［7］Gong H, Cao L X, Liu J. Second order approximation of tool envelope surface for 5axis machining with single point contact［J］.ComputerAided Design, 2008, 40 (5): 604615.
［8］Gong H, Fang F Z, Hu X T, et al. Optimization of tool positions locally based on the BCELTP for 5axis machiningof freeform surfaces［J］.ComputerAided Design, 2010, 42(6): 558570.
［9］Zhu L M, Ding H, Xiong Y L. Third order point contact approach for fiveaxis sculptured surface machining usingnonballend tools. Part I. Third order approximation of tool envelope surface［J］.Science in China: Ser E, 2010,53(7): 19041912.
［10］Zhu L M, Ding H, Xiong Y L. Third order point contact approach for fiveaxis sculptured surface machining usingnonballend tools. Part II. Tool positioning strategy［J］. Science in China: Ser E, 2010, 53(8):21902197.
［11］Barakchi Fard M J, Feng H Y. Effect of tool tilt angle on machining strip width in fiveaxis flatend millingof freeform surfaces［J］.The International Journal of Advanced Manufacturing Technology, 2009, 44(34): 211222.
［12］Barakchi Fard M J, Feng H Y. Effective determination of feed direction and tool orientation in fiveaxisflatend milling［J］.

Trans of ASME, Journal of Manufacturing Science & Engineering, 2010, 132(6): 061011.

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