2012
DOI: 10.1016/j.ijmachtools.2011.11.004
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Identification strategy of error parameter in volumetric error compensation of machine tool based on laser tracker measurements

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Cited by 145 publications
(108 citation statements)
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“…Assuming that moving cars of the kinematic chain are rigid bodies, transformation and rotation matrices can be implemented by using a mathematical model (kinematic model) based on the MT configuration [6,7,11,13]. Then, the position of the tool with regard to the part to be machined is obtained in relation to the programmed nominal position, the position of the tip of the tool with respect to the reference machine (offsets), and the geometric errors of the axes.…”
Section: Structural Configuration and Kinematic Model Of The Machine mentioning
confidence: 99%
“…Assuming that moving cars of the kinematic chain are rigid bodies, transformation and rotation matrices can be implemented by using a mathematical model (kinematic model) based on the MT configuration [6,7,11,13]. Then, the position of the tool with regard to the part to be machined is obtained in relation to the programmed nominal position, the position of the tip of the tool with respect to the reference machine (offsets), and the geometric errors of the axes.…”
Section: Structural Configuration and Kinematic Model Of The Machine mentioning
confidence: 99%
“…The first one measures a cloud of points distributed inside the working volume of the machine [7] to gather information about the global error. From the error of those points and the kinematic model of the machine, it is possible to iterate to minimize the global error of the machine at the considered points.…”
Section: Introductionmentioning
confidence: 99%
“…In robotic literature, the problem of geometric calibration is already well studied and has been in the focus of the research community for many years [1][2][3][4][5][6][7][8]. As reported by a number of authors, the manipulator geometric errors are responsible for about 90% of the total positioning error [9].…”
Section: Introductionmentioning
confidence: 99%
“…Laser tracking system (a) -0.10 PUMA 560 [27] 3 6 8 0 0 (1) Ball-bar system (a) Gradient search method 0.08 PUMA 560 [22] 2 4 4 8…”
Section: Introductionmentioning
confidence: 99%