Simulation-based product analysis is now an integral part of any product development process. Users now have a variety of simulation tools based on an array of simulation philosophies and simulation intentions, at their disposal. Traditionally, users and software solution providers have utilized customized interfaces to connect models from different software sources. While customized interfaces are …
Rapidly evaluate vehicle performance and make smarter decisions early in the vehicle design process Machine Learning applications are having a profound impact on traditional timelines associated with creating predictive models during the CAE led design process. In this webinar, we will present case studies and machine learning applications that are changing the way we run …
We continue our Real Time blog series with a focus on Applications of Adams Real Time. The previous blogs in this series can be found here (Blog1, Blog2). Modern engineering systems are becoming increasingly complex and multidisciplinary. Consider the automotive industry, for example, a domain that has traditionally been mechanical engineering focused. Trends related to …
In Part 1 of our blog series focused on Real Time simulations, we introduced Adams Real Time and detailed how it expands the traditional Adams application set and brings value to new engineering domains such as testing, calibration and autonomous development. We illustrated this value via a case study on how the Ford Motor Company …
The automotive industry is up against disruptive changes on multiple fronts. These include; the continued digitization of automotive parts and assemblies, with ever-increasing electronic and software content, technical and regulatory requirements imposed by the push towards autonomy, and the fundamental disruption in core operations and processes imposed by electrification. These challenges are compounded by vehicle …
Physics-based simulation has become an integral part of engineering product development processes, across physics types and industries. Engineers in the automotive, aerospace, heavy machinery and energy industries commonly utilize Multibody Dynamics (MBD) simulations to model complex assemblies with parts in motion, and its applications are increasing as organizations face complex new engineering challenges. The ability …
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