Building on its strategy to provide multi-disciplinary simulation capabilities, MSC.Software this week acquired Arizona-based Network Analysis Inc., adding its SINDA/G advanced thermal modeling software to its existing portfolio of thermal analysis solutions.
SINDA/G is a well-known thermal design system comprised of a proven thermal solver that can quickly solve large complex nonlinear thermal models, including temperature-dependent thermal properties, radiation and orthotropic material properties. SINDA/G also comes with specialty connections to major thermal radiation codes, including THERMICA, NEVADA and TRASYS, which allows critical orbital heating effects to be included in satellite simulations. Moreover, SINDA/G comes with plug-in capabilities that provide seamless integration into existing thermal modeling environments while automatically syncing between finite element and network thermal representations of a given system.
When combined with MSC.Software’s flagship thermal management products like P/Thermal and Nastran thermal, the addition of SINDA/G to the portfolio lets MSC.Software better serve market segments such as manufacturers of jet engines. It also opens access to broader thermal management markets such as mechatronics and electronics cooling as well as re-emerging sectors such as commercial and defense satellites, company officials said.
In addition to the NAI technology, the acquisition gives MSC.Software access to NAI’s expert technical staff, which complements its existing development organization.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.