Online Seminar Series exploring the latest innovations in Durability Testing and Engineering
| 23 九月 2021 - 14 October 2021 | 2 PM CET/ 8 AM EST
Series of 7 online seminars starting 23 September 2021 - 14 October 2021 | 2 PM CET/ 8 AM EST
The evolution of the transportation industry deeply impacts durability testing processes. Manufacturers introduce multiple vehicle variants, with lightweight designs and or electrified powertrains. At the same time, consumers’ demand for durable products remains high. Durability testing teams suffer from an increased workload under time pressure.
As such it’s essential to streamline your entire durability testing process. This can be done by integrating rugged and reliable data acquisition hardware with comprehensive processing and analysis software. This way, every step of a typical test campaign is handled in the most efficient way, from channel setup and measurements to validation, consolidation, analysis, and reporting.
Next to this, it’s key to include measurements in simulation. This way road load prediction is done in hours instead of days, calculating the wheels’ displacement on a virtual test rig based on internal loads. Once validated, durability simulation helps to optimize vehicle performance by predicting the impact of material, geometry, and welding changes.
With Simcenter solutions, you execute your entire durability process in less time, with increased confidence, and fewer errors than ever.
Join us for a 7-session online series and learn how to address durability engineering challenges through Durability Testing and Simulation Solutions.
In each session we will include best practices, latest innovations and customer experiences. In each session we will have next to the presenter also a product and an engineering expert present, to answer your questions. At the end of each session there will be an interactive Q&A part.
7 Sessions (90 min each) are foreseen for this event:
- Basics of Durability- September, 23
Introduction to the theory of the fundamentals of durability and fatigue life design, considered in the context of functional performance engineering.
Via real-life examples of fatigue failure, the difference between durability and fatigue is explained, as well as the mechanisms behind crack initiation and propagation. The theory behind the S-N curve and rainflow counting further illustrates possible design strategies against fatigue.
- Smart load data acquisition in all environmental conditions - September, 28
Discover how to acquire realistic load data and how to optimize your acquisition process obtaining high-quality data as fast as possible.
A sucessful durability engineering process starts with gaining a precise understanding of the loads that products will undergo during their anticipated lifetime, for which a state-of-the-art load data acquisition system is crucial to succeed.
- Efficient and automated data consolidation - September, 30
During this session we will see how to consolidate, clean up and validate your collected data in an efficient, automated and smart way prior to gaining a precise understanding of the loads and in-depth fatigue life insights.
Once data has been collected and validated on the spot, quite often it still requires to be consolidated once back in the office with the goal to identify and remove possible signal failures, such as some signal artefacts, spikes, etc.; to correct for some data anomalies, like drifts and offsets; or even to simply filter the data by frequency.
- Innovative load data and fatigue life analysis - October, 5
Discover how to analyze public road, proving ground, test rig campaigns and correlate with vehicle durability simulations.
Innovative load and fatigue analysis solution is crucial to speed up time-consuming tasks such as load data classification, damage potential analysis and experimental fatigue analysis. Accelerate the delivery of critical insights when preparing for test rig campaigns and reliable simulations with durability load data analytics.
- Creating realistic accelerated durability test schedules - October, 7
Deploy customer-correlated testing to set realistic vehicle durability targets that match your customer usage profile.
Once realistic load data from public roads or proving ground has been collected and consolidated, durability-specific characteristics are analyzed and durability targets are set - matching the target customer usage profile. As physical testing is essential but expensive, it is crucial to employ realistic, customer-correlated and accelerated test schedules to keep costs under control and reduce time-to-market.
- Use test data to perform load data prediction and optimize the design - October, 12
This session demonstrates how to use test-track measurements in simulation to perform load prediction in hours instead of days. We will show the process how to : build a virtual test rig to excite a model; perform load prediction without characterizing tires and roads; employ an iterative process for early access to vehicle loads; optimize and validate the design by balancing weight; strength and durability; and include advanced materials, weldings and additive manufactured parts in durability simulation.
- Predictive Maintenance, Condition Monitoring and failure prediction - October, 14
During this session, we explain how prognostic health management and failure prediction methodologies are applied to quantify the remaining useful lifetime (RUL) of components, subsystem and machines under its specific real-use conditions – instead of determining the ultimate lifetime on a statistical average.
Data analytics and virtual sensing technology are used to gather deeper system insight during condition monitoring. By connecting the real data with system simulation or CAE 3D simulation in a digital twin, we can take targeted preventive actions before a predicted failure occurs.
Meet the Presenters: