There are three methods available for extracting the reaction forces across a contact region in WB-Mechanical:
- Contact(Underlying Element)
- Contact (Contact Element)
- Target (Underlying Element)
When you choose ‘Contact(Underlying Element)’, the code is selecting the contact elements associated with that region, selecting nodes attached to the selected contact, and then selecting elements attached to the selected nodes before calculating the reaction.
Below is an equivalent APDL command script, where “cid1″ is a parameterized contact element type number for the region of interest. Continue reading
An assembly line is a manufacturing process in which parts are added in a sequential manner to create a finished product much faster than with handcrafting-type methods. Can we apply the same principles to simulations?
Many a times, a new product is made by using components from some previous designs along with some new parts. So, when performing engineering simulations on the new design, is there an efficient way to leverage the unchanged components from the previous design?
In today’s distributed workforce, various components of a product may be designed at different locations; some even by external contractors. When analyzing the full product, is there a way to directly use the analysis models from the different groups? Continue reading
Piezoelectricity is the ability of certain crystalline materials to generate an electric charge proportional to a mechanical strain (direct piezoelectricity). Direct piezoelectricity was discovered by Pierre and Jacques Curie in 1880 when they were studying the effect of pressure on natural single crystal structures such as tourmaline, quartz, topaz, and Rochelle salt. Converse piezoelectricity is rather the ability to generate mechanical strain in response to an applied electric charge. Piezoelectric stack actuators are a good example of this converse effect. They are increasingly used in micro-positioning applications due to their precision and responsiveness.
Since ANSYS Workbench has been released, the question of whether piezoelectricity can be modeled in workbench has been very popular. Thanks to ‘command snippets’ that made it possible to use APDL commands to convert a certain part of your model to piezoelectric element (PLANE223, SOLID226, or SOLID227), and assign piezoelectric properties to it. Although this has been a fantastic feature, it was not really pleasant to non-APDL users. Continue reading
A common question I hear from System Coupling users, particularly when using an operating pressure in ANSYS Fluent other than atmospheric pressure, is “Which pressure is used when transferring forces from Fluent to System Coupling and how do I change it?”.
The simple answer is that the forces passed to System Coupling are based on the gauge (or solved) pressure in Fluent by default. More accurately, the gauge pressure minus the Reference Pressure is used, but the Reference Pressure is zero by default so this is equivalent to the gauge pressure.
Before going further let’s review the Operating Pressure, Reference Pressure and gauge pressure.
The Operating Pressure in Fluent should be set to a typical absolute pressure in the system. Pressures set at boundary conditions are then specified relative to the Operating Pressure. Often the Operating Pressure is set to the absolute pressure at an outlet, and then a relative (gauge) pressure of zero is set at the outlet boundary condition(s). Continue reading
If I had to choose a winner for the Best ACTor in 2012, It would be Oticon A/S in Denmark, a world-leading developer of hearing aids. I’ll tell you more about that company later. But first, let’s talk about ACTing and ACTors. ACT is ANSYS’ Application Customization Toolkit. It can help to capture analysts’ expertise and know-how as well as give non-expert users access to advanced models, among other things. But why is this tool so important?
I keep hearing people say that “there are no better codes than our in-house codes, as they are perfectly fitted for a given application.” But the reality is: The cost of developing and maintaining in-house codes — not to mention issues related to an integrated environment (CAD integration, meshing, post-processing, optimization and DoE) — simply makes the practice unsustainable. Continue reading
You may recall my blog titled “From Supercomputers to Handhelds,” which discussed the concept of tablet computing capably running engineering simulations. As I mentioned, the tablet space is quickly evolving. My explorations continue on this subject today.
Looking back across time, technology advances have resulted in increased performance of computers relative to their size. When ANSYS was founded in 1970, finite element analysis (FEA) simulations were typically performed on large mainframes that filled entire rooms — these were the supercomputers of that era. Such large systems were necessary to run compute-intensive programs such as ANSYS software.
By the early 1990s, ANSYS simulations could be performed on personal computers (PCs). In those years, simulations on PCs were not nearly as large and complex as those being solved on larger servers, but PCs continued to evolve over time.
More recently, the distributed solver in the ANSYS Mechanical product family was developed to allow engineers to run FEA simulations on large clusters, which is the hardware of choice for today’s supercomputers. In fact, in 2008 several mechanical simulations were performed on one of the top 100 supercomputers in the world, using the Distributed ANSYS capability with calculations reaching over 1 Teraflop (over 1 trillion floating point operations per second).
Enough history. The purpose of this blog is to demonstrate that while ANSYS Mechanical software supports such speed and complexity required for the most numerically challenging and hardware-resource-intensive simulations, the power of a supercomputer is available in a device that fits into the palm of your hand. Continue reading
Guten Tag ANSYS Schweiz – Bonjour ANSYS Suisse – Buongiorno ANSYS Svizzera – Bun di ANSYS Svizra
Today we announced with great pleasure the addition of EVEN – Evolutionary Engineering AG (EVEN) to the ANSYS family. EVEN was founded in 2004 in Zürich by Marc Wintermantel, Oliver König and Nino Zehnder with the goal of making optimization and composites post-processing software.
Composites are created by blending two or more materials that possess different properties. Because they combine light weight, high strength and outstanding flexibility, composites have become standard materials for manufacturing in a range of industries. For this reason, composites will continue to be extremely popular with leading manufacturers around the world.
For example, we have seen growth in the use of composites in such industries as jet engines, wind turbines and automotive, among many others. We expect to see even more applications in which composites play a key role in the future, and ANSYS will be ready to supply the tools needed to get this critical work done. Continue reading
A couple of weeks ago, I attended the Society for Industrial and Applied Mathematics conference on Computational Science and Engineering (CSE13). There I listened to a number of presentations given by mathematicians and engineers, who talked about running software programs on some of the biggest supercomputers in the world. When ANSYS was first founded in 1970, finite element analysis (FEA) simulations were typically performed on large “mainframes” that filled entire rooms — these were the supercomputers of that era.
More recently, the distributed solver in the ANSYS Mechanical product family was developed to allow engineers to run FEA simulations on large clusters, which is the hardware of choice for today’s supercomputers. In fact, in 2008 several mechanical simulations were performed on one of the TOP100 supercomputers in the world using the distributed ANSYS capability with calculations reaching over 1 Teraflop (over 1 trillion calculations per second). However, the point I want to raise today is that while ANSYS Mechanical software supports such speed and complexity required for the most numerically challenging and hardware-resource-intensive simulations, the power of a supercomputer is now available in the palm of your hand. Continue reading