Tool Path Optimization for Five-Axis Machining
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Abstract
- This paper presents four algorithms to optimize a tool path of a five-axis milling machine. Algorithm 1 is based on the inverse kinematics of the machine and performing continuous rotation of the rotary table. Algorithm 2 further extends the inverse kinematics and performs optimal sequencing with regard to a set of feasible rotations by using the shortest path algorithm. Algorithm 3 employs uniform angular grid to insert addition points in a machine coordinate. Algorithm 4 combines and iterates algorithm 2 and 3 by injecting the points into large loops by equi distributing them with regard to the rotation angle having the largest variation. These algorithms are most efficient in the case of the rough cut characterized by large angle variations which produce considerable errors. The efficiency of the algorithm has been verified by a virtual machining as well as by real cutting on fiveaxis machine MAHO600E at the CIM Lab of Asian Institute of Technology of Thailand.
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