Computational Model for the Dynamic Characterisation of a Trunk Shaker

The development of trunk shaker machines over the years has been based on test-error methods in field. Mathematical or computational models have studied with great simplifications. This paper presents a method for modelling dynamic behaviour test bench. Two mass configurations were used bench as well two different vibration frequencies shaker. Acceleration values recorded at points system. binomial shaker-post was computationally modelled, and its response analysed modal transient study series proposed results simulations compared experimentally acceleration values. In both cases, linear to frequency variation observed that performed. There high correlation effective accelerations (error < 4%) between experimental studies measured However, there higher errors when post structure points. greatest uncertainty model may lie assumption contact attachment pad post, but if this is not carried out, it makes convergence calculations very difficult. proved worth determining these machines.