Microelectromechanical systems (MEMS) are used in sensors that convert a measured mechanical signal into an electrical signal, and in actuators such as valves, optical switches, pumps and flaps. Both of these are vital in the data collection and operation of the Internet of Things (IoT). Designing MEMS involves many types of physics and a wide variation of geometries and materials, which makes their development very difficult and time-consuming using build-and-test methods. Simulation is a critical tool to develop effective and reliable MEMS.
The most problematic scenario engineers encounter when analyzing large deformation solutions using the finite element method is convergence issues due to mesh distortion. The “NonLinear ADaptivity” (NLAD) feature and accompanying enhancements in Ansys Mechanical automatically repair mesh distortion, overcome convergence difficulties, refine the mesh to capture local phenomenon and achieve the “true” design solution.
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While today‟s CFD simulations are mainly based on Reynolds-Averaged Navier-Stokes (RANS) turbulence models, it is becoming increasingly clear that certain classes of flows are better covered by models in which all or a part of the turbulence spectrum is resolved in at least a portion of the numerical domain. Such methods are termed Scale-Resolving Simulation (SRS) models in this paper.
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.
It has taken nearly 20 years to fine-tune milk jugs and soda bottles to achieve their current weights. But the plastics and beverage industries expect that new designs hit the market as already downgauged. This can be achieved only via continuous innovation throughout the entire blow molding process, even including research in the material science phase. This paper describes how the process of virtual prototyping in blow molding can be a very effective tool to ensure that new bottle designs achieve the objective of weight reduction while still fulfilling function.