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Technical Paper

Current Challenges and Frontiers for the EHD Simulation of Journal Bearings: a Review

2016-06-15
2016-01-1856
Elastohydrodynamic (EHD)-simulation is a widely applied simulation technique that is used in a very diverse field of applications ranging from the study of vibroacoustics to the calculation of friction power losses in lubricated contacts. In particular, but not limited to, the automotive industry, technical advances and new requirements put current EHD simulation methodology under test. Ongoing trends like downsizing, downspeeding, start-stop and the continuing demand for increasing fuel efficiency impose new demands and challenges also on the simulation methodology. Increasing computational capabilities enable new simulation opportunities on the other hand. In the following, an overview is given on the current state of the art and today’s challenges for the elastohydrodynamic simulation of journal bearings and their wide range of applications from highly loaded main bearings supporting the crank shaft in the ICE to high speed turbocharger bearings.
Technical Paper

NVH-Development of Electric Powertrains - CAE-Methods and NVH-Criteria

2014-06-30
2014-01-2072
Electric cars are getting popular more and more and the expectations of the customers are very challenging. Concerning comfort, the situation is clear: customers want an electric car to be quiet and without any annoying noise from the powertrain. To develop an electric powertrain with a minimum noise level and minimized whining it is necessary to have an accurate CAE-simulation and precise criteria to assess whining noise. Based on the experience with electric powertrains in research cars the CAE-modelling was improved and a new ‘whining intensity factor’ was acquired for the development of Daimler's electric cars. The results are a very low noise level and a minimized whining noise, nearly not noticeable giving a comfortable sound to the customers of the smart electric drive and the B-Class Electric Drive.
Journal Article

Predicted Roughness Perception for Simulated Vehicle Interior Noise

2012-06-13
2012-01-1561
In the past the exterior and interior noise level of vehicles has been largely reduced to follow stricter legislation and due to the demand of the customers. As a consequence, the noise quality and no longer the noise level inside the vehicle plays a crucial role. For an economic development of new powertrains it is important to assess noise quality already in early development stages by the use of simulation. Recent progress in NVH simulation methods of powertrain and vehicle in time and frequency domain provides the basis to pre-calculated sound pressure signals at arbitrary positions in the car interior. Advanced simulation tools for elastic multi-body simulation and novel strategies to measure acoustical transfer paths are combined to achieve this goal. In order to evaluate the obtained sound impression a roughness prediction model has been developed. The proposed roughness model is a continuation of the model published by Hoeldrich and Pflueger.
Technical Paper

Power Train Model Characteristics for Vibration Analyses – Conflicting Demands in Off Line and HiL Environments

2009-05-19
2009-01-2072
High quality predicting of power train vibration behaviour is desired in the early design stage for efficient vehicle development. Conflicting demands arise, since precise, fast simulation models are required. High precision of the models will allow for the elimination of resonance phenomena for future products, thereby ensuring their comfort for the customers. Fast simulations are becoming increasingly important for linking test environments with virtual prototypes under development. This paper deals with different aspects in these conflicting demands for power train vibration models. First, the paper investigates real-time capable mechanical models and decided in favor of the object-oriented modeling approach “for requirements of Hardware in the Loop” (HiL). This paper takes a closer look at the advantages of the object-oriented approach, the model setup, its validation and the test results.
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