At the 2002 SAE show in Detroit last March, Southwest Research Institute announced it is forming a consortium for investigating the potential of common lubricating oils to degrade and poison emissions control systems for diesel and gasoline engines. Diesel Aftertreatment Sensitivity to Lubricants, Non-Thermal Catalyst Deactivation (DASL/N-TCD) is a combination of two research projects. "Both will benefit from the research performed under the new consortium," says Bruce Bykowski, assistant director of the Institute's Emissions Research Department. The DASL portion is a parametric study designed to expose diesel emissions-control systems to oil combustion by-products. Researchers measure the deactivation of the emissions control systems as a consequence of oil exposure to determine the effects of lubricating oil components such as sulfur, phosphorus, zinc, and calcium. The N-TCD portion of the consortium explores the mechanisms of emission control system deactivation as a result of oil exposure. Any companies interested in joining the consortium should contact Bykowski at the Emissions Research Dept., Southwest Research Institute, P.O. Drawer 28510, San Antonio, Texas 78228-0510. On the Internet, go to http://www.swri.org.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.