{"title":"Computer program for filter media design optimization","authors":"Sailaja Dharmanolla, George G. Chase","doi":"10.1016/j.jcice.2007.11.002","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents a computational approach for designing, mixed fiber filter media for depth filtration. The goal is to find an optimum solution, given the range, for a set of design parameters: thickness of the media, diameter of microfiber, and diameter of nanofiber, surface area ratio of nanofiber to microfiber and mass of microfiber. The objective of this work is to develop a software program that can be used as an aid to accelerate filter design and reduce the number of laboratory experiments.</p><p>This program applies a Genetic Algorithm to search for an optimum filter media design based on quality factor which quantifies the filter performance. A user friendly computer program is developed that provides inputs, outputs and controls to design a filter media. The program provides a starting point for constructing filter media for testing and design for particular applications.</p></div>","PeriodicalId":17285,"journal":{"name":"Journal of The Chinese Institute of Chemical Engineers","volume":"39 2","pages":"Pages 161-167"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jcice.2007.11.002","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Chinese Institute of Chemical Engineers","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0368165307001189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper presents a computational approach for designing, mixed fiber filter media for depth filtration. The goal is to find an optimum solution, given the range, for a set of design parameters: thickness of the media, diameter of microfiber, and diameter of nanofiber, surface area ratio of nanofiber to microfiber and mass of microfiber. The objective of this work is to develop a software program that can be used as an aid to accelerate filter design and reduce the number of laboratory experiments.
This program applies a Genetic Algorithm to search for an optimum filter media design based on quality factor which quantifies the filter performance. A user friendly computer program is developed that provides inputs, outputs and controls to design a filter media. The program provides a starting point for constructing filter media for testing and design for particular applications.