 | The computation of efficiency maps is critical but can be laborious for the design of a PM motor. ANSYS has introduced a user-friendly Electric Machines Design Toolkit that is completely integrated into Maxwell. The toolkit allows for the computation and display of torque speed curves and efficiency maps for PM machines. It integrates various effects such as skewing, DC/AC winding resistance, end-turn winding inductance, frequency-dependent core loss coefficients, and mechanical loss. Furthermore, an efficiency map computation is compared with measurements for a permanent magnet synchronous machine which includes the complete torque-speed operating region. The validated simulation model allows an investigation into reducing the permanent magnet size where the impact on the efficiency map and machine performance is further quantified, and design changes are simulated to maintain the desired efficiency over the operating range. Run Time - 43 Minutes | Add to briefcase Download Now |  | Simulation-based engineering (SBE) tools — such as finite element analysis, computational fluid dynamics and electromagnetics field solvers — are a proven value-added contributor to the product development process in the defense industry. In fact, numerous reports demonstrate significant return on investment in this sector. All too often, however, the industry focuses on the tools’ capabilities. While fundamental capabilities are necessary for effective contributions, they represent only a fraction of factors that enable best-in-class organizations to leverage the tools’ full value. In general, how the tools are used (process) and who is using them (people) are assigned lower priority — or neglected altogether — by the wider modeling and simulation community. This introduces inefficiency factors that become embedded and accepted as a cost of business in operations and new program proposals. | Add to briefcase Download Now | | | Across many industries, significant effort is expended to create detailed virtual models to ensure accurate structural simulations. However, high fidelity simulations are of little value, if you are not able to efficiently extract the results in a usable format. ANSYS Mechanical 14.5 contains many advanced features; such as user defined results, path operations, and probes that provide the user with a robust post-processing toolset. To efficiently utilize Mechanical 14.5, it is necessary to understand these tools.
This webinar will explain the available ANSYS Mechanical 14.5 post-processing tools. It will begin with a presentation and live demo. After the presentation, a panel of experts from the ANSYS development and technical services groups will answer questions live via WebEx. Run Time - 30 Minutes | Add to briefcase Download Now | | | As engineers increasingly rely on simulation during the product design cycle, the need to simulate designs using multiple physics is growing rapidly so that real world behavior can be simulated. System Coupling in ANSYS Workbench provides tight integration of ANSYS Fluent and ANSYS Mechanical to allow the most complex Fluid-Structure Interaction phenomena to be simulated in a single environment.
During the presentation, the panelists will share advice and best practices for FSI simulations coupling ANSYS Fluent to ANSYS Mechanical using real world example cases. The presentation will discuss various strategies to improve the workflow efficiency for pre-processing and solving FSI cases. These will include recommended workflows, tips on diagnosing mapping problems, best practices for model setup and tactics to debug convergence issues.
After the presentation, a panel of experts from the ANSYS development and Technical Services Groups will answer questions live via WebEx. Run Time - 40 Minutes | Add to briefcase Download Now | | | To confidently predict the performance of a product in the real world, design engineers must consider all the physics involved, as well as their interactions, simultaneously.
An automotive electric engine is an excellent example of a system that requires a multiphysics approach to predict with confidence its performance. One of the most crucial aspects to consider in an automotive electric engine is the cooling mechanism. Temperature affects many components within the engine as well as its performance; materials temperature affects electromagnetic forces which in turn impacts the performance of the engine as well as heat losses, which also have an effect on the temperature of the air surrounding the engine. Then, the temperature of the surrounding air impacts the temperature of the materials. Therefore, engineers need to take a multiphysics approach to simulation and analyze the electromagnetic, structural and fluid characteristics of an electric engine to accurately predict the electric motor performance. Furthermore, while 2-dimensional simulation tools were once acceptable, predicting the performance of a complex system like an electric engine requires high fidelity 3-dimensional representations of the design.
This presentation will first analyze a multiphysics simulation of a generic and publicly available electric motor. First, a coupled electromagnetic fluid and electromagnetic simulation is performed to a) determine the temperature of the surrounding air and the temperature of the magnet, and b) the electromagnetic characteristic of the system and its heat losses. Electromagnetic characteristics must be evaluated locally because as the magnet temperature changes from one location to another, so does the electromagnetic characteristics. The material temperature is then used as an input to a structural simulation to compute the deformation of the system. The simulation results are validated using empirical data.
Because the temperature of the system is accurately predicted by the fluid/electromagnetic coupled simulation, the subsequent deformation simulation can be performed by a structural simulation tool using these accurate inputs. Lastly, a comparison of results obtained using a 2-dimensional approach will be compared to results obtained by a full 3-dimensional simulation. This comparison demonstrates that accurate prediction of the performance of the system requires a detailed 3-dimensional simulation. Run Time - 32 Minutes | Add to briefcase Download Now | | | The integration of ANSYS software in the Workbench environment allows many novel workflows to be defined which enable effective optimization, or Virtual Prototyping, of the product being developed. This webinar will highlight the application of this Virtual Prototyping approach to the optimization of plastic packaging, where it is particularly important for the designer to consider both the plastic manufacturing process and the structural performance considerations to achieve the greatest benefits to the end product. The most important benefit is in material reduction (and thus) cost savings but these should not compromise the structural integrity of the product. For example, a blow molded water bottle top load performance, or the impact resistance of a blow molded gas tank, can be directly affected by the blow molding process itself. Similarly, a plug assisted thermoformed cold drink cup side squeeze is also affected by the process variation and plug geometry. The Virtual Prototyping approach includes coupling of the manufacturing process (blow molding or thermoforming) directly to the final performance (top load, drop test etc.) simulation allowing for either open or closed loop optimization to obtain smart parts (minimum weight for desired design objective).
The webinar will describe the Virtual Prototyping approach and highlight the benefits through relevant practical examples where significant savings in weight and cost and/or performance improvements are realized. The examples will show simulation workflows exploiting a range of software, including ANSYS Polyflow, ANSYS Mechanical and ANSYS Autodyn. Run Time - 57 Minutes | Add to briefcase Download Now | | | Turbulence is inherent to most flow problems and is usually the major limiting factor in accurate simulation. No single model or modeling approach can cover all types of turbulent flow, so different types of turbulence models have been developed.The challenge for CFD software developers is to incorporate the right subset of models, resulting in a package that is robust, accurate and validated — and that covers applications that users need. Leaders in the field don’t stop there; they offer best practices so a user knows which model to use for a specific turbulence problem. | View Now (PDF) Add to briefcase |  | Turbulence is one of the most challenging areas in fluid dynamics and the most limiting factor in accurate computer simulation of engineering flows. As CFD applications become more complex, more advanced turbulence models are needed. Choosing the right turbulence model to match the application is critical to accuracy and optimizing computational resources. This comprehensive technical paper by Florian R. Menter ― a widely recognized leader in the advancement of engineering turbulence models ― focuses on the industrial formulation and application of turbulence models. It outlines the current status of models used in industrial codes as well as methods with potential for the next generation of industrial applications. | Add to briefcase Download Now |  | Cable protection systems actively guard against temperature changes, mechanical compression and abrasion, chemical damage by fuel or oil, and electromagnetic interference. Schlemmer uses ANSYS structural mechanics simulation to virtually test these systems for bending and crushing to improve product robustness while reducing the number of expensive prototypes required. | View Now (PDF) Add to briefcase | | | Engineering simulations involving finite elements continue to become increasingly complex. Engineers seeking a means to improve turnaround times for complex simulations, especially those involving models with complicated physics and highly refined meshes, must consider high-performance computing (HPC). HPC involves understanding both leading edge hardware solutions and how FEA software can leverage such hardware. For mechanical simulations, ANSYS offers various technologies which allow users to take full advantage of multiple core processors, graphics cards (GPUs), solid state hard drives (SSDs), clusters, etc., all in an effort to minimize the time to solution. Run Time - 48 Minutes | Add to briefcase Download Now | |