Innovation and collaborative, synchronized program management for new programs
Deliver lighter, stronger and more durable designs, while accounting for geographical differences and reduced vehicle weight.
Our durability engineering solutions assist you in acquiring and analyzing road load data to set realistic durability targets and virtually validate strength and durability performance. Our solutions offer an end-to-end durability engineering approach to accelerate your time to market, meticulously balancing weight, strength, and durability to avoid vehicle recalls and meet customer expectations.
Deliver lighter, stronger and more durable designs, while accounting for geographical differences and reduced vehicle weight.
Our durability engineering solutions assist you in acquiring and analyzing road load data to set realistic durability targets and virtually validate strength and durability performance. Our solutions offer an end-to-end durability engineering approach to accelerate your time to market, meticulously balancing weight, strength, and durability to avoid vehicle recalls and meet customer expectations.
On-demand webinar series
Discover the best of simulation, test and engineering solutions to deliver lighter, stronger and more durable designs at all design stages; from road load data acquisition, analysis, data mining, load prediction, stress and fatigue analysis, up to balancing weight, strength and durability.
Customers want it all. A fuel efficient and a comfortable car, a reliable vehicle - also after driving 300 km, and a design that represents an image they can adhere to. These expectations bring a variety of new challenges and put pressure on development teams. To set realistic durability targets, manufacturers need to account for geographic differences. In order to reduce the weight of chassis and body, engineers introduce new materials, or mix various lightweight materials and focus on geometry optimization. Testing physical prototypes is expensive and time-consuming. Therefore, durability innovators optimize proving ground and public road testing and move towards more virtual prototyping to validate strength and durability performance.
Siemens PLM Software solutions help to innovate vehicle durability engineering at all stages of vehicle development. In the early stages, our road load data analytics solution consists of road load data acquisition hardware, load data analysis software and data mining engineering services and help our customers deliver for any road in the world. In the virtual design stage, our solution integrates loads prediction, stress, and fatigue analysis, while our multi-attribute balancing solution consists of testing and 3D simulation, design exploration software, and engineering services to balance weight, strength, and durability.
Explore the key areas of this solution.
Account for geographic differences and adapt product requirements taking into account local roads, driving habits, and vehicle loading. Our load data mining services define realistic and customer correlated durability vehicle targets.
Gain a precise understanding of loads. Our load data analysis software and services uses proven analytics to deliver valuable insights to accelerate testing and to correlate testing with simulation.
Reduce the weight of chassis and body structures by mixing lightweight materials and optimizing geometry. Deal with conflicting targets such as weight, strength and durability performance.
Acquire real-world vehicle loads on proving grounds and public roads. Integrate instrumentation, acquisition, analysis and reporting to accelerate delivery of high-quality data.
Predict virtual vehicle loads long before the prototype is available. Our multibody dynamics software integrates high-fidelity 3D vehicle models with test data or a road, driver and tire model for earlier access to real-world vehicle loads.
Virtually optimize components by predicting the impact of material, geometry and welding changes. Our strength and fatigue analysis software integrates pre/post, structural (FEA), and fatigue analysis for durable designs and fewer prototypes.
Use machine learning to anticipate the impact of fatigue performance
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