Tool-Path Optimization in Material Extrusion Additive Manufacturing

In order to solve the problem of free surface processing of tool redundancy,the tool lack problem, and the demerit of low machining efficiency, etc., based on the iso-scallop method, based on the iso-scallop method, we put forward a kind of free surface NC machining tool path optimization algorithm,make the surface boundary discrete point set, which is generated by point set ring machining path, diagonal connection and then use the path of the adjacent curve, forming cutting tool machining line.finally, the calculation of step size and line spacing in machining path based on the iso-scallop method and the process of feeding direction is optimized. Proved by the simulation process, the algorithm is feasible and can effectively avoid tool redundancy and tool lack problems,concesquently, processing efficiency improved significantly.

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Tool path optimization based on wear prediction in Electric Arc Sweep Machining

Journal of Manufacturing Processes ◽

10.1016/j.jmapro.2020.03.011 ◽

2020 ◽

Vol 54 ◽

pp. 328-336

Author(s):

Ahmad Farhadi ◽

Lin Gu ◽

Wansheng Zhao ◽

K.P. Rajurkar

Keyword(s):

Tool Path ◽

Electric Arc ◽

Path Optimization ◽

Wear Prediction ◽

Tool Path Optimization

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Tool path optimization for robotic surface machining by using sampling-based motion planning algorithms

Journal of Manufacturing Science and Engineering ◽

10.1115/1.4047734 ◽

2020 ◽

pp. 1-28

Author(s):

Lu Lei ◽

Jiong Zhang ◽

Xiaoqing Tian ◽

Jiang Han ◽

Hao Wang

Keyword(s):

Motion Planning ◽

Configuration Space ◽

Tool Path ◽

Path Optimization ◽

Machining Process ◽

Axis Orientation ◽

Surface Machining ◽

Tool Path Optimization ◽

Tool Axis ◽

Planning Algorithms

Abstract This paper develops a tool path optimization method for robot surface machining by sampling-based motion planning algorithms. In the surface machining process, the tool-tip position needs to strictly follow the tool path curve and the posture of the tool axis should be limited in a certain range. But the industrial robot has at least six degrees of freedom (Dof) and has redundant Dofs for surface machining. Therefore, the tool motion of surface machining can be optimized using the redundant Dofs considering the tool path constraints and limits of the tool axis orientation. Due to the complexity of the problem, the sampling-based motion planning method has been chosen to find the solution, which randomly explores the configuration space of the robot and generates a discrete path of valid robot state. During the solving process, the joint space of the robot is chosen as the configuration space of the problem and the constraints for the tool-tip following requirements are in the operation space. Combined with general collision checking, the limited region of the tool axis vector is used to verify the state's validity of the configuration space. In the optimization process, the sum of path length of each joint of the robot is set as the optimization objective. The algorithm is developed based on the open motion planning library (OMPL) which contains the state-of-the-art sampling-based motion planners. Finally, two examples are used to demonstrate the effectiveness and optimality of the method.

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