Benjamin Abert is head of consulting and service at FVA GmbH. He studied at the Clausthal University of Technology. Abert began working for FVA in 2013 as a calculation expert for plain and rolling bearings. These responsibilities increased to expert support and sales in 2018.
Study uses a Monte Carlo simulation to investigate the influence of tolerances on the load capacity.
This study presents a simulation method for considering complex wheel bodies in an analytical tooth contact model. The wheel body is considered using reduced FE stiffness. Reduction points are defined over the width and linked with the analytical gear.
For cylindrical wheel bodies, comparative calculations show fewer deviations from the expected results with the new method. This is due to the additional degrees of freedom in the FEM model. In the calculation with cylindrical wheel bodies, bending due to axial force in tooth contact could also be verified in addition to the deformation in tooth contact and the influence of the shaft-bearing system.
For optimal gear design in accordance with requirements, it is essential to consider load spectra under the most realistic conditions possible as early as the virtual basic design phase. This is the only way to ensure that all components are loaded as evenly as possible to avoid overdimensioning.
Optimized design saves resources and costs and improves the CO2 balance – an aspect that is becoming increasingly important in the current environment and can offer a competitive advantage. Load spectrum calculations are also important for replacing complex time and cost-intensive experiments by simulating test rig damage tests.
The goal of increasing the power density of a gear unit demands that extraneous material reserves can be detected and reduced to the necessary level. In this context, it is important to know the influences acting on the gear unit and the resulting loads. FVA examines the precise knowledge of the longitudinal load distribution in the gear meshes during operation, and specification of suitable microgeometries for its optimization, play a decisive role.
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