Cool Software Tricks Extremely helpful stuff you won’t find in the user’s manual
Acoustic impedance is difficult to grasp intuitively, since it is dependent on both material and geometry and is complicated by the fact that the current velocity and pressure are not necessarily in phase. Yet it is critical that engineers get it right, because it dictates efficient transfer of sound energy from point to point.
For many years, ANSYS has had 2D and 3D acoustic elements, including those used to model an “infinite” boundary. These elements can be used in modal, harmonic, and transient analyses, and fluid-structural interaction can also be accounted for in these simulations. The application of complex impedance on a boundary can be performed in ANSYS with the use of SURF153/154 elements.
The use of SURF153/154 allows users to model complex specific acoustic impedance at any boundary. The user, however, should run smaller models with known solutions first to become acquainted with this slightly unconventional modeling approach. The unique feature of these elements is that terms to the mass [M], damping [C], or stiffness [K] matrices can be added directly.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.