Optimizing tool orientations for 5-axis machining by configuration-space search method

Jun, Cha-Soo; Cha, K; Lee, Yuan‐Shin

doi:10.1016/s0010-4485(02)00077-5

Cited by 221 publications

(84 citation statements)

References 21 publications

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“…Numerous efforts were made to optimize the position of the tip of the tool, in 5-axis tool path planning (see, e.g., [6,16,20]). However, state-of the-art results have not yet resolved the fundamental question satisfactorily; namely, how to select the best tool size and design an optimal tool motion so that a given freeform surface can be machined with given accuracy, without gouging and in a minimal amount of time.…”

Section: Related Workmentioning

confidence: 99%

Precise gouging-free tool orientations for 5-axis CNC machining

Kim

Elber

Bartoň

et al. 2015

Computer-Aided Design

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We present a precise approach to the generation of optimized collision-free and gouging-free tool paths for 5-axis CNC machining of freeform NURBS surfaces using flat-end and rounded-end (bull nose) tools having cylindrical shank. To achieve high approximation quality, we employ analysis of hyper-osculating circles (HOC) [26,27], that have third order contact with the target surface, and lead to a locally collision-free configuration between the tool and the target surface. At locations where an HOC is not possible, we aim at a double tangential contact among the tool and the target surface, and use it as a bridge between the feasible HOC tool paths. We formulate all such possible two-contact configurations as systems of algebraic constraints and solve them. For all feasible HOCs and two-contact configurations, we perform a global optimization to find the tool path that maximizes the approximation quality of the machining, while being gouge-free and possibly satisfying constraints on the tool tilt and the tool acceleration. We demonstrate the effectiveness of our approach via several experimental results.

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Section: Related Workmentioning

confidence: 99%

Precise gouging-free tool orientations for 5-axis CNC machining

Kim

Elber

Bartoň

et al. 2015

Computer-Aided Design

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“…Similarly, Srijuntongsiri et al [21] pointed out that the difference between the actual and the desired trajectories in five-axis machining depends only on the configuration of the machine, provided that the tool path is fixed. Jun et al [22] found that the surface error is related to the variation of the tool orientation. Sencer et al [23] then built a kinematic model to estimate the error during five-axis motion.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Nonlinear Error Caused by Motions of Rotation Axes for Five-Axis Machine Tools with Orthogonal Configuration

Geng

Qiu

2018

Mathematical Problems in Engineering

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Since a nonlinear relationship exists between the position coordinates of the rotation axes and components of the tool orientation, the tool will deviate from the required plane, resulting in nonlinear errors and deterioration of machining accuracy. Few attempts have been made to obtain a general formula and common rules for nonlinear error because of the existence of various kinematic structures of machine tools with orthogonal configuration. This paper analyzes the relationship between the deviation of cutter location points and motion of tool orientations. Five-axis CNC machine tools are divided into two groups according to the configuration of the two rotational joints and the home position. Motions of the tool are regarded as a combination of translation and rotation. A model for error calculation is then built. The maximum deviation of the tool with respect to the reference plane generated by the initial and the final orientation is used to quantify the magnitude of the errors. General formulas are derived and common change rules are analyzed. Finally, machining experiment is conducted to validate the theoretical analysis. The research has important implications on the selection of a particular kinematic configuration that may achieve higher accuracy for a specific machining task.

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“…A C-space method [8,9] is one of the important approaches used for collision detection and avoidance, especially in robotics, which is based on a 2D information grid from a C-space map. The method proposed can detect collisions, but may stuck into a local minima when non-uniform obstacles are treated for collision avoidance.…”

Section: Introductionmentioning

confidence: 99%

“…The method proposed can detect collisions, but may stuck into a local minima when non-uniform obstacles are treated for collision avoidance. A D-plan [7] is an algorithm that can generate safe path planning during assembling/disassembling processes but narrow passages are one of the problems, which is not treated by many of the existing approaches [7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Path planning self-learning Algorithm for a dynamic changing environment

Plapper

2016

MATEC Web of Conferences

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Abstract. Safe and optimal path planning in a cluttered changing environment for agents' movement is an area of research, which needs further investigations. The existing methods are able to generated secure trajectories, but they are not efficient enough to learn from their mistakes, especially when dynamics of the environment are concerned. This paper presents an advanced version of the Ant-Air algorithm, which can detect the changed scenario and while keeping the lessons learnt from the previously planned safe trajectory, it then generates a safe and optimal path by avoiding collisions with the obstacles. The method presented can learn from the experience and hence improve the already generated trajectories further by using the lessons learned from the experience. The concept developed is applicable in various domains such as path planning for mobile robot, industrial robots, and simulation of part movement in narrow passages.

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Optimizing tool orientations for 5-axis machining by configuration-space search method

Cited by 221 publications

References 21 publications

Precise gouging-free tool orientations for 5-axis CNC machining

Precise gouging-free tool orientations for 5-axis CNC machining

Analysis of Nonlinear Error Caused by Motions of Rotation Axes for Five-Axis Machine Tools with Orthogonal Configuration

Path planning self-learning Algorithm for a dynamic changing environment

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