Spatial impact of a beam attached to a sliding structure
This source preferred by Mihai Dupac
Authors: Dupac, M.
Editors: Font-Llagunes, J.M.
Publisher: International Center for Numerical Methods in Engineering (CIMNE)
Place of Publication: Artes Gráficas Torres S.L., Huelva 9, 08940 Cornellà de Llobregat, Catalonia, Spain
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Authors: Dupac, M.
Dynamic simulation of impact in multibody system is of great interest for scientists and engineers in many different areas - robotics, biomechanics, computer animations and/or virtual reality are just a few examples. Simple or multiple impacts/collisions - contact event(s) that occurs at a common point of contact - in multibody dynamics presents many challenges. Due to the complexity of the impact dynamics, the development of various methods for predicting the behavior multibody systems (as for example kinematic chains) after collision is considered desirable. Analytical solutions of the post impact velocities (in terms of pre-impact velocities) may be obtained through the use of the classical rigid body collision theory formulated in terms of Newton's fundamental principles (law of motion) and Coulomb's friction model. In addition, the knowledge of some material constants such as coefficient of restitution and coefficient of friction are required. In this paper, the dynamics of a spatial impact of a rigid beam attached to a sliding structure-two-link chain-with an external surface is considered. The normal impulsive forces - considered in differential formulation of the equations of impact - are determined by combining the elastic-plastic indentation theory with the classical Hertzian contact theory. To reflect dissipation in the contact/impact area and energy loss during impact the force-deformation model includes damping. Velocity and kinetic energy are investigated for different incident impact angles of the beam in an impact process which consider friction at the contact point. The two-link chain - beam and sliding mass-impact is studied numerically. Further acquired experimental data should be compared with the numerical results for validation and generalisation.