MATERIALS: Mott Corp.’s porous metal GasSaver® spargers are the most efficient and durable devices for applications requiring the infusion of gases into liquids, slurries or semi-solid emulsions, and are the high-performance solution to gas-liquid mixing problems.They deliver the optimum balance of performance and cost because their design is matched to process requirements, and they employ porous metal gas diffuser elements which allow the introduction of tiny, micron size bubbles into a turbulently flowing stream of liquid.
Because they have no moving parts to wear out or fail, Mott GasSavers® are more cost-effective and extremely durable. They offer substantial savings in capital cost, maintenance expense and gas consumption. Enhanced reaction time means higher process throughput and reduced operating expense.
Applications include: deoxygenation, oxygenation, hydrogenation, direct steam injection, aeration and carbonation.
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.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.