has published a position paper casting doubt on the reliability of a new .dwg
editor capability in the recently released SolidWorks 2005 software. The SolidWorks
feature would enable AutoCAD users to maintain 2D legacy files while working
in 3D, including working in SolidWorks.
All of this aims to try
and fool AutoCAD users into thinking that this feature is a replacement for
AutoCAD, the Autodesk paper says. Parries SoilidWorks Product Manager Robert
McDonald: We had a lot of Autocad users test the .dwg editor and didn’t
get any reports of any significant problems.
Autodesk says the SolidWorks
.dwg editor is a reverse-engineered technology developed through the Open Design
Alliance consortium, and does not use any original Autodesk tools of software
to correctly read or write .dwg files. There can be a time lag of as much as
six months between the time when Autodesk customers can effectively collaborate
with the latest version of .dwg and when users of other .dwg-based products
can. Plus, the company says, there is a potential problem of fidelity of data
that could lead to mistakes.
SolidWorks agrees on the
time-lag issue, but says customers don’t update regularly anyway. It
also says the fidelity of data will be up to par.
Autodesk says SolidWorks' .dwg editor doesn't work well. SolidWorks
says it does.
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.