Assessing the performance of aircraft components with systems-level models has always been a part of the aircraft design process. A systems simulation is a collection of models, simulations, and algorithms that predict how all the parts in a system will work together. The fidelity of the model improves if the detailed physics governing the performance of the components can be closely represented in the system model. However, the very nature of 3D modeling is time-intensive and not practical to incorporate in a full systems-level model you need to simulate a system in real-time.
Proppant transport modeling is a developing area of research. Well, performance relies on open fractures, which require the proper transport of proppant over long distances. Numerical models help in determining key factors such as proppant placement, injection rate, proppant material, and other geometrical considerations. However, it is critical to use appropriate models for particle drag and lift, as well as for turbulence and meshing, in order to validate the field data. This webinar will demonstrate, in detail, how to prepare these models for simulation to achieve the most accurate results.
A common difficulty in simulating complex fluid flow problems is that some geometries can not be well-represented using a single, continuous mesh. In many cases, different geometrical features are best represented by different mesh types. Preparing this mesh can be time-consuming and complicated. Additionally, the large, poorly structured meshes that result can take excessive time to solve and can result in reduced accuracy.
Brazil’s vast interior areas are so sparsely settled that conventional fiber optic cabling is often not economical. Wireless internet service providers (WISPs) are racing to erect towers to provide internet access to rural residents. Jet Towers used Ansys AIM simulation software to design a line of truss tower modules that makes it possible for the company to build and install wireless towers in only one week, one-fifth the time required by conventional methods.
Offshore oil and gas production relies on subsea, fixed platforms. In many deep-water projects in remote field locations, floating production storage and offloading (FPSOs) vessels are used. One challenge in harsh operating conditions is rough sea conditions. In the past, time-consuming and expensive physical experiments were required to ensure that vessels can withstand the highest possible sea states without damage. Petrobras uses Ansys simulation to reduce the number of experiments required and obtain more detailed loading data.
Machining expensive corrosion-resistant materials is tough on the cutting equipment. Researchers at the Technical University of Dortmund used fluid flow and structural analysis tools from Ansys to analyze process coolant flow distribution and achieve longer tool life.
Simulation has long been an integral part of the product development process; it greatly improves product performance, reduces development costs, and gets the product to market much more quickly. The technologies that underpin the Internet of Things now make it possible to go a step further by integrating simulation with products as they exist and operate in the real world. This opens up a whole new era in value creation for companies to optimize operations and maintenance, as well as further accelerate the new-product development process. Ansys worked with PTC, Flowserve, National Instruments and HPE to demonstrate this, showing how a simulation model of an operating pump can diagnose and solve operating problems faster than was ever possible before.
Regulations and customer demands put pressure on rail designers to deliver passenger coaches with comfortable climates. In the past, Siemens engineers spent about four months testing passenger coaches in a climate wind tunnel to validate the design of the heating, ventilation, and cooling (HVAC) system. Now they use Ansys Fluent computational fluid dynamics (CFD) software to validate the design before building the first coach to reduce the testing time and cost by up to 50 percent.
Small and medium-sized manufacturers need economical access to simulation during their design cycles to remain competitive. This requires a software stack to make it easier for these companies to expand their use of high-fidelity modeling tools on cloud computing resources.