Digitalization and sustainability are what drives the tire industry: Leverage the power of the digital twin to optimize production planning, create full process transparency, identify and eliminate bottlenecks and improve your plant productivity. By creating a digital representation of the tire, the production machines and production plants, you can achieve operational excellence on every level and in every aspect of your tire production. This is complemented by the vision of a truly circular tire ecosystem: Start your transformation towards sustainable tire production through energy- and resource efficient operations aided by intelligent automation solutions, digital tools and ecosystems, and innovative RFID systems.
Join us at Tire Technology Expo 2022 from May 18 – 20 in Hall 21, booth 8058 to explore how solutions from Siemens can help you build standardized and modular solutions to streamline R&D, improve quality, reduce scrap and make your tire production eco-friendly.
We are looking forward to seeing you!
Referee: HyunJung Ohn - Business developer for tire industry, Siemens AG
Day 1: Wednesday, May 18th | 03:45 p.m. – 04:10 p.m.
Stream: Technical and Efficiency Developments in Tire Building, Mixing and Curing (11:30 a.m. – 05:00 p.m.)
Increasing the productivity and sustainability of production lines and machines is becoming more important to manufacturers and machine builders. Siemens Industrial Edge helps optimize your machine and plant availability and performance and lets you get even more out of your existing data. The interactive graphic illustrates the structure of the open edge computing platform and provides you with many ready-to-use applications for data collection, storage, analysis and display, so you can turn machine data into measurable success, whether for rapid process data analyses or for maintenance optimization. Using Industrial Edge, you can integrate apps into your shop floor landscape more easily than ever before. You have the flexible option of deciding whether to keep your machine data on-site and local or to process it further in your company-based or public cloud infrastructure. This presentation will also show several edge applications using curing press simulation data.
Referee: Carlo Lugaro – Research engineer, Siemens Digital Industries Software
Day 2: Thursday, May 19th | 02:50 p.m. – 03:15 p.m.
Stream: Developments in Tire Testing and Simulation (09:00 a.m. – 05:30 p.m.)
Simulation of parking maneuvers is of crucial importance for steering system design. The well-known turn-slip Van der Jagt model approach, implemented in MF-Tyre/MF-Swift, is often used for this kind of simulation. The model is characterized by low computational effort and high accuracy. However, in the case of a full steering maneuver with the brake fully engaged, it fails to capture the interactions between the horizontal forces and the aligning moment at large camber angles. With the support of BMW AG, Siemens has developed a model extension based on physical backgrounds. Simulation results demonstrate the effectiveness of the method.
Referee: Gian Paolo Di Salvo, Industry manager for process and tire industry, Siemens AG
Gerd Hock, Senior business developer for the tire industry, Siemens AG
Day 2: Thursday, May 19th | 04:10 p.m. – 04:35 p.m.
Stream: Tire Manufacturing – Making the Most of New Technologies (04:10 p.m. – 05:30 p.m.)
Siemens' strategy is to achieve the complete digitalization of manufacturing operations with manufacturing operations management (MOM). Siemens' portfolio offers end-to-end visibility into production, ensures full traceability and ensures a smooth transition from product design into the associated manufacturing processes. Customers can maximize ROI through a MOM system that manages both the real production on the factory shop floor and the digital twin of production in the plant simulation solution. The power can be leveraged to test different scheduling options first in the simulated plant, and then made real in the manufacturing plant. This approach offers true benefits for a complex process such as in tire manufacturing. This presentation will also show a few use cases with a focus on scheduling, MES and plant simulation.