LEADER 05137nam 2200613Ia 450 001 9910877809303321 005 20200520144314.0 010 $a1-280-72355-6 010 $a9786610723553 010 $a3-527-60815-X 010 $a3-527-60776-5 035 $a(CKB)1000000000376184 035 $a(EBL)482394 035 $a(OCoLC)609855616 035 $a(SSID)ssj0000308921 035 $a(PQKBManifestationID)11239685 035 $a(PQKBTitleCode)TC0000308921 035 $a(PQKBWorkID)10282070 035 $a(PQKB)10152382 035 $a(MiAaPQ)EBC482394 035 $a(EXLCZ)991000000000376184 100 $a20060620d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aScale-up in chemical engineering /$fMarko Zlokarnik 205 $a2nd, completely rev. and extended ed. 210 $aWeinheim $cWiley-VCH$d2006 215 $a1 online resource (293 p.) 300 $aDescription based upon print version of record. 311 $a3-527-31421-0 320 $aIncludes bibliographical references (p. 261-267) and index. 327 $aScale-Up in Chemical Engineering; Contents; Preface to the 1st Edition; Preface to the 2nd Edition; Symbols; 1 Introduction; 2 Dimensional Analysis; 2.1 The Fundamental Principle; 2.2 What is a Dimension?; 2.3 What is a Physical Quantity?; 2.4 Base and Derived Quantities, Dimensional Constants; 2.5 Dimensional Systems; 2.6 Dimensional Homogeneity of a Physical Content; Example 1: What determines the period of oscillation of a pendulum? 327 $aExample 2: What determines the duration of fall ? of a body in a homogeneous gravitational field (Law of Free Fall)? What determines the speed v of a liquid discharge out of a vessel with an opening? (Torricelli's formula)Example 3: Correlation between meat size and roasting time; 2.7 The Pi Theorem; 3 Generation of Pi-sets by Matrix Transformation; Example 4: The pressure drop of a homogeneous fluid in a straight, smooth pipe (ignoring the inlet effects); 4 Scale Invariance of the Pi-space - the Foundation of the Scale-up; Example 5: Heat transfer from a heated wire to an air stream 327 $a5 Important Tips Concerning the Compilation of the Problem Relevance List5.1 Treatment of Universal Physical Constants; 5.2 Introduction of Intermediate Quantities; Example 6: Homogenization of liquid mixtures with different densities and viscosities; Example 7: Dissolved air flotation process; 6 Important Aspects Concerning the Scale-up; 6.1 Scale-up Procedure for Unavailability of Model Material Systems; Example 8: Scale-up of mechanical foam breakers; 6.2 Scale-up Under Conditions of Partial Similarity; Example 9: Drag resistance of a ship's hull 327 $aExample 10: Rules of thumb for scaling up chemical reactors: Volume-related mixing power and the superficial velocity as design criteria for mixing vessels and bubble columns7 Preliminary Summary of the Scale-up Essentials; 7.1 The Advantages of Using Dimensional Analysis; 7.2 Scope of Applicability of Dimensional Analysis; 7.3 Experimental Techniques for Scale-up; 7.4 Carrying out Experiments Under Changes of Scale; 8 Treatment of Physical Properties by Dimensional Analysis; 8.1 Why is this Consideration Important?; 8.2 Dimensionless Representation of a Material Function 327 $aExample 11: Standard representation of the temperature dependence of the viscosityExample 12: Standard representation of the temperature dependence of density; Example 13: Standard representation of the particle strength for different materials in dependence on the particle diameter; Example 14: Drying a wet polymeric mass. Reference-invariant representation of the material function D(T, F); 8.3 Reference-invariant Representation of a Material Function; 8.4 Pi-space for Variable Physical Properties; Example 15: Consideration of the dependence ?(T) using the ?(w)/? term 327 $aExample 16: Consideration of the dependence ?(T) by the Grashof number Gr 330 $aCovering the important task of the scale-up of processes from the laboratory to the production scale, this easily comprehensible and transparent book is divided into two sections. The first part details the theoretical principles, introducing the subject for readers without a profound prior knowledge of mathematics. It discusses the fundamentals of dimensional analysis, the treatment of temperature-dependent and rheological material values and scale-up where model systems or not available or only partly similar. All this is illustrated by 20 real-world examples, while 25 exercises plus solutio 606 $aChemical processes$xSimulation methods 606 $aChemical engineering$xSimulation methods 615 0$aChemical processes$xSimulation methods. 615 0$aChemical engineering$xSimulation methods. 676 $a660 700 $aZlokarnik$b Marko$f1931-$022266 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910877809303321 996 $aScale-up in chemical engineering$9669201 997 $aUNINA