2005
DOI: 10.1007/s11044-005-0723-z
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Experiences in Teaching Multibody Dynamics

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Cited by 13 publications
(5 citation statements)
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“…At this point, several simulations of the deployment phase have been carried out to find the spring stiffness and damping coefficient of the dampers, imposing an opening time of the mechanism of about 30 s as a constraint. The integration method and the values of the parameters used for the simulation have been adapted for the specific case of contacts as suggested in References [23][24][25][26]. The selection of the stiffnesses of the torsion springs was influenced by the maximum torsion angle, which must be greater than 177 • , and by the diameter of the pin (8 mm) on which the spring is to be positioned.…”
Section: Spring-damper Systemmentioning
confidence: 99%
“…At this point, several simulations of the deployment phase have been carried out to find the spring stiffness and damping coefficient of the dampers, imposing an opening time of the mechanism of about 30 s as a constraint. The integration method and the values of the parameters used for the simulation have been adapted for the specific case of contacts as suggested in References [23][24][25][26]. The selection of the stiffnesses of the torsion springs was influenced by the maximum torsion angle, which must be greater than 177 • , and by the diameter of the pin (8 mm) on which the spring is to be positioned.…”
Section: Spring-damper Systemmentioning
confidence: 99%
“…Several experimental methodologies [17][18][19][20] based on a multi-body approach have been developed [21][22][23][24][25][26][27][28][29]. Recently, methods based on fuzzy logic [30][31][32][33][34], neural networks [35], and genetic algorithms have been applied for the tensioning of space trusses [36,37].…”
Section: Experimental Settings For Calibrationmentioning
confidence: 99%
“…Several experimental methodologies [17][18][19][20] based on multibody approach have been developed [21][22][23][24][25][26][27][28][29]. Recently, methods based on the Fuzzy logic [30][31][32][33][34], neural networks [35] and genetic algorithm have been applied for the tensioning of space trusses [36,37].…”
Section: Experimental Setting For Calibrationmentioning
confidence: 99%