Modeling of the Capillary Suction Time of Kaolin Slurries Using Chemometrics.
Sharma SK; Stanley DA
Ch in Adv in Filt & Sep Tech Sep; 5::319-26
For this investigation, eight different concentrations of kaolin slurry were evaluated. Factor analysis of the data showed that there were two physically significant factors affecting the experiment. The first factor was applicable to the data below X = 3 cm and had an exponential characteristic, while the second factor applied to the data between X = 3 to 6 cm. The data between 3 and 6 cm were reproduced adequately by tiller's equation. A regression equation was used to predict the data between 0 and 3 cm. The combination of both equations reproduced the results to within +/-4 pct. It was found that the average specific resistance is inversely proportional to the clay slurry concentration and that as the concentration increases, the average resistance decreases. Finally, this investigation showed that factor analysis was successful in finding significant factors that had physico-chemical meaning; therefore, it could be applied to future dewatering studies.
Ch. in Adv. in Filt. & Sep. Tech., Vol. 5: Sep. Problems & the Env., Am. Filt. Soc., PP. 319-26
We take your privacy seriously. You can review and change the way we collect information below.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
Cookies used to make website functionality more relevant to you. These cookies perform functions like remembering presentation options or choices and, in some cases, delivery of web content that based on self-identified area of interests.
Cookies used to track the effectiveness of CDC public health campaigns through clickthrough data.
Cookies used to enable you to share pages and content that you find interesting on CDC.gov through third party social networking and other websites. These cookies may also be used for advertising purposes by these third parties.