ANSYS is taking aim at engineers tasked with designing mechatronic and other multi-domain systems with a new version of its Simplorer tool, which features new advanced modeling capabilities, enhanced integration with third-party simulation software along with performance enhancements.
Simplorer, part of ANSYS’ Ansoft family of EDA tools, lets engineers construct virtual prototypes of all elements of a system, including the electronics, sensors/actuators, motors, generators, power converters, controls and embedded software. One of the primary new features is a new user interface that lets engineers concurrently tap multiple modeling techniques, including circuits, block diagrams, state machines, among others. Working with Simplorer’s backplane technologies, these standard modeling techniques and languages can be used concurrently within the same schematic, allowing engineers to create analog, digital and mixed-signal multi-domain designs, manage diverse modeling data and execute simulations.
The upgrade also delivers links to complementary simulation software, including Simulink, ModelSim and QuestaSim. In the future, links will be expanded to include ANSYS Multiphysics in an effort to deliver additional FEA simulation capabilities.
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.