Designed with the technical illustrator in mind, PTC's Arbortext IsoDraw 7.0 version bundles a wide range of 2D and 3D capabilities (2D illustrations, 3D illustrations, 2D animation, 3D animation and a mix of 2D and 3D illustrations and animations) in a single tool. This way companies can create both 2D and 3D technical illustrations and animations from scratch — instead of having to redraw graphics, which most options require — while also letting them more easily create context by reusing 3D CAD data. The software is integrated with PTC's Pro/ENGINEER 3D CAD package, which means CAD data associated with that software can be directly embedded in technical documents, leading to higher-quality and lower cost publications. Moreover, the ability to embed 3D animations in publications helps people visually interact with and view objects from multiple perspectives, which in turn can improve computer-based training, assembly instructions and online maintenance manuals.
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.