Toolpath generation along directions of maximum kinematic performance; a first cut at machine-optimal paths

作者: Taejung Kim , Sanjay E. Sarma

DOI: 10.1016/S0010-4485(01)00116-6

关键词: Greedy algorithmFlight envelopeOptimization problemMachine toolMachiningEngineeringHeuristicsSimulationKinematicsPoint (geometry)Algorithm

摘要: Abstract In earlier work, we introduced the concept of time-optimal toolpaths, modeled behavior and constraints machining, formulated optimization problem mathematically. The question was by what toolpath it would be possible to machine a surface in minimum time—while considering kinematic performance machine, speed limits motors finish requirements. is difficult one, does not generally yield closed-form solution. Here present heuristics-based approach problem, which refer as greedy approach. envelope at point on very anisotropic, material can removed much more rapidly some directions than other directions. seeks best performance. We describe algorithms first find such advantageous then show how they fitted continuous vector field. also toolpaths with proper side-steps generated from this end results showing improvement that derived toolpaths.

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