Methodology for Virtual Analysis of the Dynamic Behavior of Parking Brake Cable Attached to Leaf Spring Suspension 2017-36-0128
Through computational dynamic simulations is possible to achieve high reliability index in the development of automotive components, thus reducing the time and component cost can generate significant levels of competitiveness and quality.
This work suggests the validation of a methodology for simulation, able to predict and quantify the best design of the parking brake cable that although it is flexible, has in its structure composite elements of different mechanical properties.
Known difficulty of mathematically predict nonlinear relationships deformation under forces and moments effect was first established, studies based on experimental measurements serve as input parameters for simulating the dynamic behavior of the flexible cable.
With the aid of motion making use of NX9 CAD software, it was prepared the dynamic movement that the leaf spring suspension system does. Imposing lateral and vertical loads to the model construction, through a routine mapped by Cartesian coordinates, simulating the characteristic movement for light duty truck.
Using the IPS (Industrial Path Solution) software for the construction of flexible model to be simulated, assigned the mechanical and geometrical properties of each component, as well as its static deflection captured experimentally in order to obtain virtually the real deformations in steady state, getting that the virtual static model accurately represents the experimental model.
Finally, it was set to IPS the dynamic routine for suspension system, thus yielding the car cable behavior under certain circumstances, verifying the effectiveness of the component to the package requirements, avoiding undesired dynamic interferences and early degradation of flexible element.
Citation: Tognolli, A., Machado, E., Batista, F., Mayer, P. et al., "Methodology for Virtual Analysis of the Dynamic Behavior of Parking Brake Cable Attached to Leaf Spring Suspension," SAE Technical Paper 2017-36-0128, 2017, https://doi.org/10.4271/2017-36-0128. Download Citation
André Tognolli, Erica Machado, Fabio Batista, Paulo Mayer, Jamilton Silva, Fernando Utiyke
General Motors do Brasil
26th SAE BRASIL Inernational Congress and Display