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Off-line correction method suitable for a machining robotapplication to composite materials

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Abstract

Robotic machining finds its place in a multitude of applications with increasingly restrictive dimensional tolerances. In the machining of left-handed shapes for the production of large composite supports (4-m diameter), the expected shape accuracy is a few hundredths. The industrial robot is not initially compatible with such performance criteria. The literature possesses several ways to improve the accuracy of industrial robots such as stiffness, or stress modeling with dynamic measurement of forces during machining. These methods are difficult to apply in an industrial context because they are too costly in terms of time and investments related to the identification means. This study proposes a new off-line correction based on the mirror correction applied during machining. This method is quickly applicable and required only a 3D vision system. Moreover, it is adapted to any 6-axis serial robot, unlike exiting methods that requires a robot modeling and characterization, which is adapted to a specific robot only. After measuring the position of the tool during a first machining operation, this measurement is compared with the initial program setpoint for identify the robot deviation. A smart and autonomous process is used to re-edit the toolpath to compensate for the deviation. A new machining operation quantifies the correction by producing a part with improved shape tolerances. This article presents the development method, the implementation, and the results obtained following its industrial context. A gain of more than 80% is identified and an analysis of this result is proposed. Future complementary developments are suggested as perspectives.

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Abbreviations

Vc:

Cutting speed in m/min

Fz:

Feed per revolution in mm/tooth

COM method:

Tool material pair method

EtC-track :

Standard deviation of C-track device

Pm:

Measured tool position

Pi:

Desired tool position

D :

Deviation between measured and desired tool position

E :

Error vector

E * :

Correction vector

P :

Measured tool position by C-track device

P* :

Correction tool position

CAM:

Computer-aided manufacturing

CAM_p:

Computer-aided manufacturing desired tool position

MES_p:

Measured tool position by C-track device

RMS:

Root mean square

Xt, Yt:

Effort measurement frame

Ef:

Measured effort

Eini :

Initial measured deviation by ATOS device

Eatos :

Measured deviation after correction by ATOS device

GYZ :

Calculate gain on the Y-Z sample plane

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Authors and Affiliations

  1. Laboratoire Génie de Production, Ecole Nationale d’Ingénieurs de Tarbes, Université de Toulouse, Tarbes Cedex, France

    Guillaume Carriere, Mourad Benoussaad, Vincent Wagner & Gilles Dessein

  2. Groupe LAUAK, LAUAK Innovative Solutions, Bagnères de Bigorre, France

    Benjamin Boniface

Authors
  1. Guillaume Carriere
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  2. Mourad Benoussaad
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  3. Vincent Wagner
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  4. Gilles Dessein
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  5. Benjamin Boniface
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Correspondence to Guillaume Carriere.

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Carriere, G., Benoussaad, M., Wagner, V. et al. Off-line correction method suitable for a machining robotapplication to composite materials. Int J Adv Manuf Technol 110, 2361–2375 (2020). https://doi.org/10.1007/s00170-020-05947-x

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  • DOI: https://doi.org/10.1007/s00170-020-05947-x

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