Resource Library

Total Brake System Design and Instability and Noise Prediction

Automotive and Aerospace braking systems can generate several kinds of noises. Brake discs develop large and sustained friction-induced oscillations, referred to simply as brake squeal. Many engineering approaches have been implemented to attack the problem. One example is the complex eigenvalue method by which squeal propensity is quantified by the dynamic instability of a certain system mode. In ANSYS, to predict the onset of instability, one can perform a modal analysis of the pre-stressed structure. The pre-stress may be due to a combination of assembly/operational loads and thermal loads. The presence of unstable modes suggests that the geometry parameters and material properties of the braking system need to be modified. ANSYS offers three different methods to perform a brake squeal analysis. These three methodologies can be executed in a parametric and persistent environment called ANSYS Workbench. A parametric workflow, from CAD model to CAE solution, is in turn the path to parametric design optimization.

Run Time - 77 minutes

IBM Ready Solutions Technology Brief

Businesses in nearly every industry are looking for ways to improve the efficiency of their technical computing environments. This tech brief will review IBM Ready Solutions to enable companies to Simplify deployment, operation and use of clusters and clouds, increase throughput and accelerate time-to-results, improve application performance and increase reliability, optimize infrastructure and resources utilization and reduce total cost of ownership.

Accelerating Development of EV Batteries Through Computer-Aided Engineering

Developing low cost, high energy, safe, and long lasting batteries is crucial for the wide adoption of electric vehicles (EV) - and ultimately reduce petroleum consumption and polluting emissions. Computer aided engineering (CAE) tools could accelerate the development, design, and prototyping of batteries. The Vehicle Technology Program in the Department of Energy has launched the Computer Aided Engineering of Automotive Batteries (CAEBAT) to work with national labs, industry and software venders to develop sophisticated software. The National Renewable Energy Laboratory (NREL) is the coordinator of the CAEBAT activity and are working with a number of companies including ANSYS to develop these models and tools to help improve and accelerate battery design and production. We will present an overview of CAEBAT. At the outset of the CAEBAT project, NREL unveiled a development crucial to filling the gap in existing tools: a predictive computer simulation of Li-ion batteries known as the Multi-Scale Multi-Dimensional (MSMD) model framework. MSMD’s modular, flexible architecture connects the physics of battery charge/discharge processes, thermal control, safety and reliability in a computationally efficient manner. This allows independent development of submodels at the cell and pack levels. In addition to a quick overview of the CAEBAT project, this paper will provide an overview of the MSMD model and its results showing the utility of the model by the impact of design parameters on performance.

Run Time - 53 minutes

Optimizing your ANSYS environment with IBM Platform HPC

IBM® Platform™ HPC is an ideal solution to improve the productivity of ANSYS environments, enabling engineers to focus on their work rather than on the intricacies of managing clusters and distributed computing environments. The robust cluster and workload management capabilities of Platform HPC make it a powerful, yet exceptionally easy to use solution for engineers and administrators.

A Total Li-Ion Battery Simulation Solution

This presentation shows a complete model for an li-ion battery pack. It starts from the Newman electrochemistry model to create the battery performance curves. Such information is then used to create cell level battery equivalent circuit model (ECM). 28 cell ECMs are connected to create the module ECM. Four module ECMs are connected through a busbar model to create the pack ECM. The busbar model is a reduced order model (ROM) extracted from electromagnetics FEA solver, taking into account the parasitic effects. Battery thermal performance is first calculated by computational fluid dynamics (CFD). Then, a thermal ROM is created out of CFD solution. The thermal ROM is then two-way coupled with the battery pack ECM to form a complete battery pack model. Thanks to the ROM technology, such a battery pack model can finish a complete charge discharge cycle within seconds of simulation time.

Run Time - 52 minutes

Find out How IBM addresses Engineering Simulation Data Management (SDM) challenges

This white paper describes how engineering enterprises can improve productivity, collaboration and innovation.

IBM Benchmarks for HPC Workload on the IBM System x3750

The purpose of this IBM® Redpaper™ publication is to discuss why IBM System x3750 M4 server is a reasonable choice for the majority of high performance computing (HPC) workloads.

Accelerating the Evolution of Turbochargers via Numerical Optimization and Advanced Simulation Techniques

Turbocharging the automotive internal-combustion engine has become highly topical with the trend to downsize engine capacity toward lower emissions without compromising the driver’s perception of performance and transient response. This webcast illustrates the implementation of a design-by-analysis approach in a modern, fully integrated design environment, illustrated by examples of compressor and turbine designs for small gasoline engines. Automated, numerical optimization is an emerging technology that can be deployed within such a system on several levels to eliminate much of the manual iteration, and its usefulness and implementation are described. Also, illustrations of higher-fidelity simulation are included, and their role in the design process explained. In addition, future prospects are discussed. To what extent can an empirical background in turbomachinery design become redundant in the designs of new machines? What are the major technical challenges for the developers of advanced design and analysis techniques?

Run Time - 1 hour

IBM-ANSYS Structural Mechanics Solution Brief

Improving product development with HPC-capable structural mechanics software driven by innovative hardware systems, clusters, storage and software.

IBM: Best Practices for Implementing Fluent Software

Scaling up high-performance computing resources allows engineering teams to dramatically increase the value of engineering simulation, enabling more detailed and accurate simulations and more design exploration within the time constraints of project deadlines. Choosing the right HPC resources, however, requires an understanding of how key technologies determine application performance. In this short document, ANSYS and IBM share conclusions about how to optimize the performance of ANSYS Fluent software on cluster technologies.