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Creation of a Street Sweeper Multibody Dynamics (MBD) Model and Verification by Field Tests

Creation of a Street Sweeper Multibody Dynamics (MBD) Model and Verification by Field Tests

The chassis of a the RAVO 5 iSeries street sweeper has been a proven design that has remained relatively unchanged since the mid-60’s. However, due to increasing weight and size requirements, as well as possible changes to the driving mechanism, an overhaul of the chassis platform is needed. To develop a new (modular) chassis, which is suited for upcoming and future changes, a CAE-driven design approach is chosen, which is being performed by VIRO. When using computer-aided engineering (CAE), the chief problem is to define or estimate the acting loads and / or boundary conditions on a structure. In case such a structure is dynamically loaded, such a determination is further aggravated. Furthermore, if that structure is a chassis, a wide range of load cases and interconnected systems (e.g. tyres, suspension) effect the multifaceted loading behavior.

By utilizing multibody dynamics (MBD) and creating a MBD-model of the current street sweeper, a first step is taken towards developing a new (modular) chassis. The calculated loads and moments acting on the suspensions and chassis are quantified for e.g. several worst case scenarios, which allows for well-founded decisions in relation to the new design. Furthermore, these load conditions can be used as input for future topographic optimizations and / or stress analyses. An important part, when creating a CAE-model, i.e. in this case a MBD-model, is the validation of that model by experiments and /or analytic formulations. Consequently several calculated load cases have been tested in the field and in mutual cooperation. A subsequent verification shows that the measured accelerations correlate well with the calculated accelerations from the MBD-model.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Thijs Romans, Group Leader Engineering Analysis, VIRO

Duration: 20 minutes

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