2003
DOI: 10.1016/j.measurement.2003.05.001
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Metrological feasibilities of CMM touch trigger probes. Part I: 3D theoretical model of probe pretravel

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Cited by 66 publications
(22 citation statements)
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“…This data acquisition system is very precise. However, it is rather slow, expensive and restricted to materials resistant to mechanical contact [4].…”
Section: Related Workmentioning
confidence: 99%
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“…This data acquisition system is very precise. However, it is rather slow, expensive and restricted to materials resistant to mechanical contact [4].…”
Section: Related Workmentioning
confidence: 99%
“…Achieving accurate 3D models for full-scale areas, at least as large as the tire-surface contact area, in a short period of time constitutes a step forward on the use of 3D structural analysis techniques, such as those based on Finite Element Method (FEM) and on the description of surface irregularities and defects, such as texture and segregation [1,2]. In this context, the use of inverse engineering techniques (laser triangulation with laser line, among others) is more advantageous in relation to the methods used hitherto, because they allow collect a high density of data points, which combined with appropriate algorithms, allows extracting important information for road surface characterization [3][4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, measuring probe provides quantitative information about the position of the tip ball with respect to the reference point. Touch trigger probes are most popular because of their simplicity and a low cost [2] .…”
Section: Introductionmentioning
confidence: 99%
“…The bias that characterizes the probe system is the pre-travel variation. Pre-travel is the distance traveled by the probe body from the point where the stylus tip makes contact with the measured surface until triggering occurs [7][8][9]. It has also been established that the pre-travel generally increases with the length of the stylus [7,10].…”
Section: Introductionmentioning
confidence: 99%