Synopsys Inc.'s CODE V
10.3 adds support for new native aspheric surfaces and the Q-type aspheric
surfaces offer advantages over traditional polynomial-based aspheres for lens
design optimization and tolerancing. For example, the Q-type surfaces can be
more easily constrained during optimization to improve manufacturability and reduce
cost. In addition, CODE V's wavefront differential tolerancing feature supports
tolerancing on Q-type polynomial coefficients, which is for evaluating system
performance and manufacturability.
CODE V's enhanced surface
conversion capabilities make it easy to switch back and forth between the
Q-type formulations and traditional aspheric surface representations. This
allows designers to harness the power of the new formulations while maintaining
compatibility with established fabrication processes.
CODE V's Asphere Expert tool saves users
time by automatically finding optimal asphere locations in the lens system. The
tool uses an algorithm that takes into account both aspheric slope departure
limits and weighted constraints when computing recommended aspheric surface
locations. Users have the option to convert selected surfaces to aspheres and
optimize the resulting system for best final performance.
New built-in optimization
constraints in CODE V allow users to directly control the sag or slope
variations of Q-type aspheres to maintain manufacturability of the lens system.
For example, these constraints give users the ability to prevent the production
of designs where the sag of the aspheric parts is too large for interferometric
testing, and to ensure that designs do not require removal of an excessive
amount of material during polishing phases. In addition, a new macro function
allows aspheric surfaces to be evaluated and optimized for testability using
ZYGO's VeriFire Asphere interferometer metrology system.
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.