2013
DOI: 10.1016/j.proeng.2013.08.236
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Self-optimization in Large Scale Assembly

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Cited by 7 publications
(6 citation statements)
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“…Shin et al 57 elaborated the cutting strategy of large size stainless steel pipes with a larger outer diameter of 165 mm and a thickness of 7 mm (Figure 4(c)). Schmitt et al 58 considered the gravitational effects of large components and compensated the deformation to fulfill the tolerance requirements.…”
Section: Machining Methodsmentioning
confidence: 99%
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“…Shin et al 57 elaborated the cutting strategy of large size stainless steel pipes with a larger outer diameter of 165 mm and a thickness of 7 mm (Figure 4(c)). Schmitt et al 58 considered the gravitational effects of large components and compensated the deformation to fulfill the tolerance requirements.…”
Section: Machining Methodsmentioning
confidence: 99%
“…The measurement is absolutely vital for large components. For the high-precision large-scale components, such as large bearings and gears, several quality features 81 (c) rail detection system, 83 (d) key 3D point measurement, 84 (e) s mobile robotic measurement system, 87 (f) inline measurement of Fuselage, 58 (g) zero-clearance assembly measurement, 90 and (h) a flexible and accurate measurement method. 108 have to comply with tolerances in the range of 20-50 mm.…”
Section: Measuring the Large Componentsmentioning
confidence: 99%
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“…3 (Permin et al, 2016;Schmitt et al, 2013a). The fulfillment of the measurement task is not the primary goal in this application, rather the fulfillment of the assembly task is.…”
Section: Model-based Process Controlmentioning
confidence: 99%
“…By developing more comprehensive process models, the position and orientation of the tool center point can be controlled more precisely using external laser trackers than by the systems themselves, which are subject to load-dependent deformation. The model for the compensation of the kinematic errors uses the more precise position information of the laser trackers as well as the ambient temperature, the internal sensor system and the information on the axis errors (Schmitt et al, 2013b;Blunt, 2013;Altintas et al, 2005;Schwenke et al, 2005).…”
Section: Model-based Process Controlmentioning
confidence: 99%