Autodesk is bringing modern 3-D modeling to the design of mainstream process plants with the introduction of its new Plant 3D 2010 software, used for modeling piping and infrastructure. The software, built on the familiar AutoCAD platform, is aimed at small teams facing tight time and budget constraints in their efforts to retrofit existing plant facilities, spearhead plant expansions or conduct on-going maintenance.
Compared to the majority of existing plant design tools in this category, which are expensive and highly complex, AutoCAD Plant 3D leverages the familiarity of AutoCAD and the popularity of the .dwg file format to help teams more easily share design information and meet their goals in an timely fashion, according to Robert Shear, Autodesk’s senior industry manager for process and power. “With AutoCAD Plant 3D, you can design the plant so you can see clashes and conflicts digitally before they become steel or concrete,” Shear explains.
To accompany the release, Autodesk also launched AutoCAD Exchange, a new community for plant designers and engineers. The site encourages visitors to network, enhance professional skills, engage in discussions and interact with experts, sharing tips and experiences on global plant design efforts.
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.