Analysis And Study On Abnormal Indentation Causes Of Transmission Needle Roller Bearings

Roller bearings are one of the most widely used classes of components in mechanicalpart. But they are also the members of easily being damaged. Its operating status is directlyrelated to the safety of transport. However, the enterprise only could do the fatigue testing tounderstand the different gear transmission, and the movement of the needle bearings. Theyhave no other testing methods to use to. Companies are lack of effective and reasonablesimulation analysis and evaluation methods. For now on, the modeling of mechanicaltransmission system and simulation analysis of abnormal indentations on bearing’s innerand outer rings in different gear conditions, such research is still in the exploratory stage.In this technology we could create a digital simulation model in PRO/E. First, we usethe virtual prototype technology to create different gear transmission system through the useof ADAMS and Pro/E. The software is combined to build the multi-body dynamics model.Different gear bearings are at different temperatures, they have complex externalenvironment conditions.We could use the finite element software HYPERMESH to establish transmissionfinite element model, obtain needle bearings’ incentive load in a comprehensive internal andexternal factors according to the ADAMS. The force load curve which is obtained inADAMS should be written into the LS-DYNA key document. In this method we couldachieve the bearing’s stress distribution and dynamic response. Analysis the causes ofabnormal indentations on needle roller bearings are important.In comparison with the actual test results we could find that the situation results arebasically the same. It explains why we could apply the reference to the actual situationaccording to use the simulation methods. This objective evaluation of the abnormalindentations on roller bearings which we use could provide an effective evaluation methodand evaluation index to future research. We use this method to predict the course andevaluate the model, in order to improve the performance and design efficiency.