Dynamic simulation of a cam with flat-faced follower

Nonlinear dynamics behavior of cam-follower system using concave curvatures profile

“…In the previous expression, the embedding dimension is d E and the time delay is T, 13 where i is the discrete time; X (i) is the reconstructed state space at the discrete time (i); T is the Lag or reconstruction time delay; d E is the embedding dimension; and N is total number of points of a time series. Time delay is an integer number between two samples from time series.…”

“…With the method of delays from a given data, x ( t ), a state space, X ( t ) is reconstructed with the dimension dE: X ( i ) = [ x ( i ), x ( i + T ), …, x ( i + ( d E − 1) T . In the previous expression, the embedding dimension is d E and the time delay is T , 13 where i is the discrete time; X ( i ) is the reconstructed state space at the discrete time ( i ); T is the Lag or reconstruction time delay; d E is the embedding dimension; and N is total number of points of a time series.…”

“…Figure13. Average logarithmic divergence of largest Lyapunov exponent at follower guide's internal dimension (17 mm) at N = 300 and 500 rpm.…”