the data in Teamcenter with the 3-D models in NX to provide a simple and
intuitive way to collect, collate and visually present PLM information in the CAD
environment, enabling engineers to quickly analyze a wide variety of product
development parameters and make better design decisions faster. The HD3D environment
enables engineers to visually comprehend PLM data through interactive
navigation and the ability to drill down as needed. Through color-coding,
on-screen tagging and legends, the HD3D user can "see" important data such as
parts that are behind schedule, supplier related data, or recent design
changes, allowing for fast assessment and interpretation.HD3D allows design teams to instantly gather requested PLM data and
visualize its impact directly within the context of the 3-D design, resulting
in a level of insight that produces better decisions faster, enhancing
innovation and reducing time to market. HD3D removes this time consuming
process and delivers a highly visual interactive 3-D environment that displays
any type of PLM data in the context of the CAD model. The data can be color
coded and tagged to support informed visual analytics and rapid decision making
with a higher level of confidence.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.