Research On Collision Detection Algorithm Between Tool And Workpiece In Five-Axis Machining Based On Parallel-Computing

Five axis machining has many advantages,such as high efficiency,high precision and wide range of machining.It is widely used in the field of high precision machining of complex parts.One of the cutter and the workpiece do not collide,that is,to determine the reasonable direction of the cutter axis.The determination of the direction of the cutter axis is largely limited by the feasible region of the cutter axis direction,so solution process of the feasible region of the cutter axis direction and the long timeconsuming of the calculation,this study based on the constraints of the machining process and geometric characteristics on the feasible region of the cutter axis direction,and cutter axis direction,and through the experimental verification and analysis,the optimized feasible region algorithm of the cutter axis direction has higher calculation efficiency.The use condition of parallel computing is multi task re computing.The sub tasks in multi task are independent and similar.Multi task can be packaged into parallel computing framework.The principle of parallel computing is to realize the parallel framework through the underlying graphics hardware,and multi-threaded coordinated computing solution.In order to meet the requirements of parallel computing,this research transforms the computing tasks in the feasible region of tool axis direction into parallel computing tasks,so parallel computing can be used to optimize the algorithm of feasible region of tool axis direction.The algorithm of feasible region of tool axis direction based on Parallel Computing mainly includes: constraint conditions of feasible region of tool axis direction based on machining technology and geometric characteristics,discrete collision detection of all tool axis directions that meet the constraint conditions based on parallel computing theory,the set of tool axis directions without collision interference is feasible region of tool axis direction.Based on CUDA framework,this research develops feasible region algorithm of cutter axis direction,and through the simulation experiment of feasible region algorithm of cutter axis direction in impeller and ball head cutter machining,observes the experimental results of feasible region algorithm of cutter axis direction based on parallel computing and not based on parallel computing,and analyzes the comparison,and finds that the feasible region algorithm of cutter axis direction based on parallel computing is better than not based on parallel computing The tool axis direction feasible region algorithm based on the parallel computing in this study is proved to be able to solve the problem of the current tool axis direction feasible region calculation time consumption.