Solid/Liquid Separation: Equipment Selection and Process Design

個数:1
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Solid/Liquid Separation: Equipment Selection and Process Design

  • 著者名:Tarleton, Steve/Wakeman, Richard
  • 価格 ¥48,162 (本体¥43,784)
  • Elsevier Science(2006/12/07発売)
  • 春分の日の三連休!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/22)
  • ポイント 13,110pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9781856174213
  • eISBN:9780080467177
  • NDC分類:509.6

ファイル: /

Description

In this volume, the third in a set specifically written for the industrial process and chemical engineer, the authors provide the detailed information on filtration equipment and media which allows the reader to then consider the pre-treatment of suspensions, selection of the most appropriate equipment for the task, data analysis and the subsequent design of the processes involved for particular separations. The result is a comprehensive book which is designed to be used frequently and referred to regularly in order to achieve better industrial separations.Successful industrial-scale separation of solids from liquids requires not only a thorough understanding of the principles involved, but also an appreciation of which equipment to use for best effect, and a start-to-finish plan for the various processes involved in the operation. If these factors are all correct, then successful separations should result.- Part of 3-volume set- Unique approach to industrial separations- Internationally-known authors

Table of Contents

Chapter 1: Solid/liquid separation equipmentChapter 2: Filter mediaChapter 3: Pretreatment of suspensionsChapter 4: Data acquisition, analysis and scale-upChapter 5: Selection, data analysis and simulation by computer softwareChapter 6: Process design for batch separationsChapter 7: Process design for continuous separationsNomenclatureBibliographyAppendix A: Variable ranges for filter cycle calculationsAppendix B: Correlations for cake washing and gas deliquoringAppendix C: Definitions and conversions for concentrationAppendix D: Troubleshooting filter operationAppendix E: Comparisons between experimental data and design equation predictionsIndex

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