True to the slogan " Digital Enterprise – thinking tire industry further," we invite you to visit us at the Tire Technology Expo 2020.
Digitalization is changing the tire industry - machines and factories are becoming smarter. Siemens is presenting a broad-based Digital Enterprise portfolio for the whole value chain especially for tire manufacturers and machine builders.
The digital twin of the tire, the production machines and plants and our Totally integrated Automation portfolio link the digital and real world of tire production.
Take the opportunity to talk to our experts about future-oriented and effective solutions for individual machines or complete production sites.
Wednesday, February 26
Tire NVH engineering through dedicated lumped parameter model
Stream 1 - Tire Technology for the Vehicle Revolution (continued)
Referee: Gie Van der Linden, Senior engineer, Siemens Industry Software, Siemens AG, Belgium
With the rise of electric powertrains in the automotive industry, tire noise has become an important part of the ‘new’ composition of the NVH signature of vehicles. Automotive OEMs and tire manufacturers are looking for methods to get an early-stage assessment of the tire NVH performance in a full-vehicle context. In this presentation, we will explain how full-vehicle road noise can be predicted using a test-based, lumped-parameter tire NVH model. This approach enables parameter studies toward resulting interior noise performance and can support target setting on the component (tire) and vehicle level.
Velocity and temperature influence on tire and vehicle handling performance
Stream 8 - Modeling the Tire, Vehicle and Road
Referee: Willem Versteden, Product manager, Siemens Digital Industries, Siemens AG, Netherlands
Further digitization of the vehicle development process requires, among other things, higher accuracy as well a broader scope of operating conditions to be captured by tire models. Siemens Digital Industries has developed an extension of the MF-Tyre/MF-Swift tire model that considers the influence of rolling speed and tire temperature on the tire performance. The modeling approach including main assumptions taken and the validation with indoor and outdoor tire measurements is discussed. Furthermore, emphasis is given to the impact of changing tire characteristics on vehicle handling performance.