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 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:
Marouf Dwaikat:CAE Technical Product Manager , Siemens Digital Industries Software
Marouf Dwaikat is CAE Technical Product Manager within the Centre of Excellence (CoE) organization in Siemens Digital Industry Software EMEA. With his digital simulation specialization and 25 years of CAE experience, he currently provides technical expertise and is involved in CAE products strategy. Marouf has been with Siemens Digital Industry Software for 23 years. He has covered several technical roles including post-sales, pre-sales, and business development, and supported major CAE customer projects in different European industries, including Aerospace & Defence, Automotive, Marine, and others. Marouf holds a Ph.D. degree in Mechanical Engineering from “Ecole central de Paris”.
Ralf Leis:Service Project Manager for „Data Analytics & Durability“, Siemens Digital Industries Software
Graduated from Kaiserslautern University with a degree in Civil Engineering in 2001 and worked for Simcenter Engineering Services team since then as project engineer first, nowadays as service program manager and business development manager for data analytics and durability. He has a long-standing experience in the planning and execution of different kind of durability projects from load measurements, data processing and analysis up to CAE based fatigue life analysis.
Marcos Barral:Presales Solutions Consultant, Siemens Digital Industries Software
Marcos Barral is an EMEA Presales Solutions Consultant, focused on Testing Solutions, for Siemens Digital Industries Software. He graduated in 2008 with a Bachelor’s in Industrial Engineering, specialized in Mechanical Engineering, from the University of Vigo, Spain.
Over the last 12 years Marcos has built strong experience in the NVH field working as Test and Application Engineer, and since 2015 as Presales Solutions Consultant when he joined Siemens Digital Industries Software. He is a passionate about NVH world, being his areas of expertise structural dynamic, rotating machinery, acoustics, durability and dynamic environmental testing, among others.
Swen Vandenberk:Presales Consultant, Siemens Digital Industries Software
Swen Vandenberk is an EMEA Presales Consultant, focused on Testing Solutions, for Siemens Digital Industries Software. Swen graduated Cum Laude as Master of Science in Engineering with specialization in Mechatronics from the Catholic University Of Leuven, Belgium . His fields of studies include Mechanics, Noise and Vibrations, Electromechanics, Robotics, Control Mechanisms and Automation
Safak Has:Business Development Manager Durability Solutions, Siemens Digital Industries Software
Şafak’s previous experience was at Ford Motor Company on vehicle testing of a wide vehicle range from passenger cars to construction trucks. His areas of expertise include data acquisition systems and data analysis in the context of NVH and Durability testing. Şafak Has holds a Bachelor of Engineering in Mechanical Engineering from Yildiz Technical University, Istanbul Turkey.