Engineers need advanced simulation tools to enable them to meet customer demands for more efficient and reliable high-performance machines. Engineers must accurately predict aerodynamic performance across an increasingly wide range of speeds and operating conditions, and they also must guarantee reliability in the design. For example, they need to ensure that blade vibration will be damped across the operating range and that cyclic unsteady loading will not impact design life. Watch the video to see how reliable turbomachinery blades can be designed using Ansys solutions.
Turbochargers are key components of car and truck engines. They increase the power output of the engine, and are therefore important in the development of smaller and lighter engines, which is a major goal for automotive and truck manufacturers. Key challenges associated with the development of high performance, reliable turbochargers include:
Accurate and efficient prediction of blade transient phenomena is becoming more and more important to turbomachinery designers because the continuing need to gain performance improvements makes it necessary to operate closer to performance envelopes. Traditional full-wheel transient solutions provide high levels of accuracy but are computationally expensive because they require simulating many or all blade passages in a given blade-row. Pitch-change methods reduce the problem to a small sector of the geometry but still require the simulation of many vibration cycles to reach a quasi-steady periodic state. The HA method in Ansys 19.0 helps overcome this challenge by solving multistage transient blade row problems by calculating as few as one blade per row, reducing the computational time by a factor of 100 compared to a full wheel solution and by a factor of 25 compared to the FT method, the previous state-of-the-art for this type of problem.
Learn about the easy-to-use, timesaving design tools for adjoint-based shape optimization in Ansys Fluent. In the webinar, we introduce a workflow with increased convergence speeds and automation for optimizing the following applications:
Exhaust gas recovery (EGR) coolers represent a very difficult design challenge, primarily because multiple physics are involved in evaluating their performance under thermomechanical cyclic loading. Using conventional simulation tools to simulate this condition requires a time-consuming manual or script-driven process to map data between simulation tools. Ansys provides a complete suite of multiphysics simulation tools integrated together in the Ansys Workbench environment that makes it possible to simulate the full range of EGR cooler operating conditions while data are seamlessly moved from one tool to the next.
Fluids simulation users will find that Ansys 2019 R3 includes many enhancements that further simplify the user experience and broaden use to new applications. The new Fluent experience has been improved so you can enjoy more CFD in less time, with less training.
Automotive simulation is now crucially important as car and truck makers are making big investments in developing advanced vehicle technology such as autonomous driving systems, smart electronics, and safety-critical control software, while they continue major efforts to improve fuel efficiency and cut emissions.
AG Furnace Improvements sought to increase the processing capacity of its crude heater, while maintaining optimal tube metal temperatures. Using Ansys Fluent, it analyzed the flame characteristics and temperature distribution within the heater to meet its design objectives.
Longevity and cost were a concern with the 3-D printed swirlers for a novel hot mix asphalt plant burner. Astec engineers performed design exploration using Ansys DesignXplorer, Ansys SpaceClaim, and Ansys Fluent to optimize the gas mixing tube design.