WEBENCHÂ® Visualizer is a powerful comparison and selection
tool that enables engineers to rapidly select an optimal power system design
from a large array of possibilities. It creates a graphical snapshot of options
across multiple criteria, such as efficiency, footprint and system bill of materials (BOM) cost. Drawing from 25
different switching power supply architectures and 21,000 components, engineers
can navigate through billions of power supply design alternatives in seconds.
Design criteria can be modified and the real-time effects observed, allowing
engineers to select the best DC-DC power supply based on their unique needs. The tool supports a variety of power supply topologies such
as buck, boost, buck-boost, SEPIC and flyback. WEBENCH Visualizer gives design
engineers all of the tools to produce the best possible design in the shortest
time. Instead of a hard coded parametric
table, this tool dynamically calculates key power supply parameters for 70 or
more designs scenarios based on the user's inputs. The results are presented in a
three-dimensional graph which makes it easy for the designer to drive to the
desired solution, shaving days off of the power supply design time compared to
doing calculations for designs one at a time.
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.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
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.