Abstract:
A filter remaining capacity detection system is presented that includes a parameter retriever that retrieves parameter information for an atmosphere around the filter. The system also includes an adsorption estimate generator that, based on the parameter information retrieved, solves a set of controlling equations to generate an adsorption estimate. The controlling equations are a set of mass and energy balance equations. The system also includes a remaining capacity detector that, based on the adsorption estimate, generates a remaining capacity estimate. The system also includes a signal generator that generates a signal if the remaining capacity estimate is below a threshold.
Abstract:
Filter media that includes activated carbon particulates and zinc oxide particles disposed on surfaces of the activated carbon particulates. The zinc oxide particles have an average crystallite dimension that is not greater than about 50 nm.
Abstract:
Filter media that includes activated carbon particulates and zinc oxide particles disposed on surfaces of the activated carbon particulates. The zinc oxide particles have an average crystallite dimension that is not greater than about 50 nm.
Abstract:
A filter predicted capacity estimation system is presented that includes a parameter retriever that retrieves parameter information for an atmosphere around the filter. The system includes a parameter trend retriever that retrieves historical parameter indications from a database. The system also includes a real time capacity estimator that, based on the parameter information retrieved, and solves a set of controlling equations to generate an estimated capacity. The controlling equations are a set of mass and energy balance equations. The system also includes a parameter projection generator that, based on the historic parameter indications, generates a future parameter trend for the atmosphere and filter use. The system also includes a predicted capacity estimator that, based on the adsorption estimate, and based on the future parameter trend, generates a predicted capacity estimate. The system also includes a signal generator that generates a signal if either the estimated capacity or the predicted capacity estimate is above a threshold.