Characterising the effects of shape on tool path motion

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Characterising the effects of shape on tool path motion. / Chanda, Luke; Cripps, Robert.

In: International Journal of Machine Tools and Manufacture, 25.04.2018.

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@article{8c039b32f5cd41698ea1fd37e311f318,
title = "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 motion in terms of a tool path's intrinsic shape properties. The characterisation identifies the achievable set of kinematics for a tool path of a given shape without the need for physical machining and a knowledge of the motion control algorithms. The characterisation may be employed in a pre-processing manner to inform the selection of NC file tool path motions. This can therefore 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.",
keywords = "Tool path, Shape, Kinematics",
author = "Luke Chanda and Robert Cripps",
year = "2018",
month = apr,
day = "25",
doi = "10.1016/j.ijmachtools.2018.04.005",
language = "English",
journal = "International Journal of Machine Tools and Manufacture",
issn = "0890-6955",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Characterising the effects of shape on tool path motion

AU - Chanda, Luke

AU - Cripps, Robert

PY - 2018/4/25

Y1 - 2018/4/25

N2 - 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 motion in terms of a tool path's intrinsic shape properties. The characterisation identifies the achievable set of kinematics for a tool path of a given shape without the need for physical machining and a knowledge of the motion control algorithms. The characterisation may be employed in a pre-processing manner to inform the selection of NC file tool path motions. This can therefore 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.

AB - 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 motion in terms of a tool path's intrinsic shape properties. The characterisation identifies the achievable set of kinematics for a tool path of a given shape without the need for physical machining and a knowledge of the motion control algorithms. The characterisation may be employed in a pre-processing manner to inform the selection of NC file tool path motions. This can therefore 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.

KW - Tool path

KW - Shape

KW - Kinematics

U2 - 10.1016/j.ijmachtools.2018.04.005

DO - 10.1016/j.ijmachtools.2018.04.005

M3 - Article

JO - International Journal of Machine Tools and Manufacture

JF - International Journal of Machine Tools and Manufacture

SN - 0890-6955

ER -