Search News Archives
IT Solutions and Laboratory Automation
Conferences | Events
Whitehouse Scientific CEO to Present the Latest Developments in Wet Challenge Testing for Filter Calibration at WFC 12
World renowned standards company, Whitehouse Scientific, will exhibit its unique range of filter calibration products and services on Booth A1212 at the 12th World Filtration Congress (Taipei International Convention Center, Taiwan: 11-15th April 2016).
Dr Graham Rideal, CEO of Whitehouse Scientific, will also present a paper on the latest developments in wet challenge testing to accurately define pore size in a filter, to an audience of scientists, engineers and practitioners operating in the filtration field.
Dr Rideal™s presentation, Latest Developments in Wet Challenge Testing, will highlight the importance of being able to accurately measure maximum pore size in filters across a wide range of industry applications from oil extraction to pharmaceuticals. His paper will highlight the most recent developments in wet challenge testing using precision glass microspheres and the revolutionary PoreSizer, Image Analyser for unambiguous characterisation of filters.
The PoreSizer will be on display on Whitehouse Scientific™s booth at WFC12 (Booth A1212). It is a powerful new tool developed to measure and determine the precise dimensions of square filter measures, including test sieves. Using glass bead filter standards, it is now possible for the first time to measure the geometric pore size of complex three dimensional filters. All measures are traceable to international standards of length.
The precise measurement of maximum pore size in filters is critical in many industries as inaccuracies in filtration processes can damage equipment and affect product quality and safety, explains Dr Rideal.
The accuracy and reliability of measurement provided by wet challenge testing using glass microspheres and the PoreSizer will support important commercial decisions in a wide range of industrial applications. This technique replaces the measurement uncertainty of previous methods, which often lead to ambiguous results.