2018
DOI: 10.1016/j.ijmachtools.2018.04.005
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Characterising the effects of shape on tool path motion

Abstract: This paper presents a methodology for a priori shape characterisation of tool path motion. Many current methods to describing tool path motion require explicit knowledge of the motion control algorithms implemented on a specific machine. Either a method proposes novel algorithms or requires knowledge of the algorithms currently implemented in a given machine's controller (e.g. minimum jerk, harmonic jerk and minimum jounce). This paper provides a method, that may be applied on any machine, to characterise moti… Show more

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Cited by 9 publications
(2 citation statements)
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“…Experimental results show that the resulting matched axial dynamics effectively eliminate the linear contour errors and largely reduce the circular contour errors due to unmatched axial dynamics. Chanda et al [27] provided a method that may be applied on any machine to characterise motion in terms of a tool path's intrinsic shape properties, this can help to reduce the material and energy resources being consumed during iterative machining trials and so improve the efficiency and productivity of the manufacturing process. Liu et al [28] placed a multi-robot system that consists of two welding robots and a clamping robot on a gantry with Three-Degree-of-Freedom, and established positive and negative kinematic models by the Devanit-Hartenberg(D-H) method, completed the welding path planning for aircraft hyperbolic panels, and verified the path in ADAMS.…”
Section: Introductionmentioning
confidence: 99%
“…Experimental results show that the resulting matched axial dynamics effectively eliminate the linear contour errors and largely reduce the circular contour errors due to unmatched axial dynamics. Chanda et al [27] provided a method that may be applied on any machine to characterise motion in terms of a tool path's intrinsic shape properties, this can help to reduce the material and energy resources being consumed during iterative machining trials and so improve the efficiency and productivity of the manufacturing process. Liu et al [28] placed a multi-robot system that consists of two welding robots and a clamping robot on a gantry with Three-Degree-of-Freedom, and established positive and negative kinematic models by the Devanit-Hartenberg(D-H) method, completed the welding path planning for aircraft hyperbolic panels, and verified the path in ADAMS.…”
Section: Introductionmentioning
confidence: 99%
“…The look-ahead window technique is used in [21], and [22] for smoothing the path-geometry corners to reduce the jerk magnitude in a CNC machine through the jerklimited acceleration profile, which consists of three phases: acceleration increment at continuous rate, followed by a constant acceleration, and a final deceleration at a sustained ratio. In [23], a method for characterizing a machine-tool trajectory movement is proposed based on the analysis and manipulation of velocity, acceleration, and jerk profiles. The approach is used for improving the manufacturing-process efficacy and productivity by lessening consumed resources as materials and energy during iterative machining tests; however, some discontinuities are noticed in the acceleration profile.…”
Section: Introductionmentioning
confidence: 99%