IBM and Dassault Systemes have enhanced CATIA-CADAM, adding new features that should be of interest to engineers in automotive, aerospace, and consumer goods industries. Among the enhancements are shape-modeling capabilities, which, the company says, will make it easier to incorporate junctions and cutouts into complex shapes. Here are the highlights: 1)Body in white templates, which makes use of a predefined library of cross-sectional shapes for the design of complex thin parts, such as automobile inner body panels; 2)Generative aerospace sheet metal design, for folded and flattened parts. It facilitates the design of hydro-pressed and break-formed airframes; 3)Generative composite covering, which identifies potential fiber wrinkling, thus helping to avoid problems in parts manufactured from composite materials; and 4)Generative shape modeling, which enables design of trimmed features with fewer user interactions, thus simplifying design of cast parts. IBM-Dassault Systems: Product Code 4261
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.