05144nam 2200661 450 99620236890331620170815114341.01-280-44809-197866104480980-470-36131-X0-471-78525-31-61583-844-90-471-78524-5(CKB)1000000000354666(EBL)257216(OCoLC)71432002(SSID)ssj0000140092(PQKBManifestationID)11146875(PQKBTitleCode)TC0000140092(PQKBWorkID)10030048(PQKB)10790636(MiAaPQ)EBC257216(PPN)204365260(EXLCZ)99100000000035466620160815h20062006 uy 0engur|n|---|||||txtccrDistillation design and control using Aspen simulation /William L. LuybenHoboken, New Jersey :Wiley-Interscience,2006.©20061 online resource (361 p.)"AIChE."Includes index.0-471-77888-5 DISTILLATION DESIGN AND CONTROL USING ASPENTM SIMULATION; CONTENTS; PREFACE; 1 FUNDAMENTALS OF VAPOR-LIQUID PHASE EQUILIBRIUM (VLE); 1.1 Vapor Pressure; 1.2 Binary VLE Phase Diagrams; 1.3 Physical Property Methods; 1.4 Relative Volatility; 1.5 Bubblepoint Calculations; 1.6 Ternary Diagrams; 1.7 VLE Nonideality; 1.8 Residue Curves for Ternary Systems; 1.9 Conclusion; 2 ANALYSIS OF DISTILLATION COLUMNS; 2.1 Design Degrees of Freedom; 2.2 Binary McCabe-Thiele Method; 2.3 Approximate Multicomponent Methods; 2.4 Analysis of Ternary Systems Using DISTIL; 2.5 Conclusion3 SETTING UP A STEADY-STATE SIMULATION3.1 Configuring a New Simulation; 3.2 Specifying Chemical Components and Physical Properties; 3.3 Specifying Stream Properties; 3.4 Specifying Equipment Parameters; 3.5 Running the Simulation; 3.6 Using "Design Spec/Vary" Function; 3.7 Finding the Optimum Feed Tray and Minimum Conditions; 3.8 Column Sizing; 3.9 Conclusion; 4 DISTILLATION ECONOMIC OPTIMIZATION; 4.1 Heuristic Optimization; 4.2 Economic Basis; 4.3 Results; 4.4 Operating Optimization; 4.5 Conclusion; 5 MORE COMPLEX DISTILLATION SYSTEMS; 5.1 Methyl Acetate/Methanol/Water System5.2 Ethanol Dehydration5.3 Heat-Integrated Columns; 5.4 Conclusion; 6 STEADY-STATE CALCULATIONS FOR CONTROL STRUCTURE SELECTION; 6.1 Summary of Methods; 6.2 Binary Propane/Isobutane System; 6.3 Ternary BTX System; 6.4 Multicomponent Hydrocarbon System; 6.5 Ternary Azeotropic System; 6.6 Conclusion; 7 CONVERTING FROM STEADY STATE TO DYNAMIC SIMULATION; 7.1 Equipment Sizing; 7.2 Exporting to Aspen Dynamics; 7.3 Opening the Dynamic Simulation in Aspen Dynamics; 7.4 Installing Basic Controllers; 7.5 Installing Temperature and Composition Controllers; 7.6 Performance Evaluation7.7 Comparison with Economic Optimum Design7.8 Conclusion; 8 CONTROL OF MORE COMPLEX COLUMNS; 8.1 Methyl Acetate Column; 8.2 Columns with Partial Condensers; 8.3 Control of Heat-Integrated Distillation Columns; 8.4 Control of Azeotropic Columns/Decanter System; 8.5 Conclusion; 9 REACTIVE DISTILLATION; 9.1 Introduction; 9.2 Types of Reactive Distillation Systems; 9.3 TAME Process Basics; 9.4 TAME Reaction Kinetics and VLE; 9.5 Plantwide Control Structure; 9.6 Conclusion; 10 CONTROL OF SIDESTREAM COLUMNS; 10.1 Liquid Sidestream Column; 10.2 Vapor Sidestream Column10.3 Liquid Sidestream Column with Stripper10.4 Vapor Sidestream Column with Rectifier; 10.5 Sidestream Purge Column; 10.6 Conclusion; 11 CONTROL OF PETROLEUM FRACTIONATORS; 11.1 Petroleum Fractions; 11.2 Characterization of Crude Oil; 11.3 Steady-State Design of PREFLASH Column; 11.4 Control of PREFLASH Column; 11.5 Steady-State Design of Pipestill; 11.6 Control of Pipestill; 11.7 Conclusion; INDEXA timely treatment of distillationcombining steady-state designand dynamic controllabilityAs the world continues to seek new sources of energy, the distillation process remains one of the most important separation methods in the chemical, petroleum, and energy industries. And as new renewable sources of energy and chemical feedstocks become more universally utilized, the issues of distillation design and control will remain vital to a future sustainable lifestyle.Distillation Design and Control Using Aspen Simulation introduces the current status and future implications of Distillation apparatusDesign and constructionChemical process controlSimulation methodsDistillation apparatusDesign and construction.Chemical process controlSimulation methods.660.2842660/.28425Luyben William L.16520American Institute of Chemical Engineers.MiAaPQMiAaPQMiAaPQBOOK996202368903316Distillation Design and Control Using Aspen SImulation716264UNISA01355nam0 22002891i 450 UON0038696320231205104554.78988-222-4548-220101217d1997 |0itac50 baitaIT|||| |||||Spinozianaricerche di terminologia filosofica e critica testualeSeminario internazionale Roma, 29-30 settembre 1995a cura di Pina Totaro - FirenzeL. S. Olschki, 1997X278 p. ; 24 cm.001UON002750642001 Lessico Intellettuale Europeo210 FirenzeLeo S. Olschki72FILOSOFIATerminologiaUONC026533FISPINOZA BENEDICTUS DEOpereLessicoUONC077620FIITFirenzeUONL000052199.492Filosofia occidentale moderna. Olanda20TOTAROPinaUONV200773OlschkiUONV246364650ITSOL20240220RICAUON00386963SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI COLL. FP 046 072 SI FP 21998 7 BuonoSIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI FS 07326 SI FP 13640 5 Spinoziana1354315UNIOR05742nam 22005535 450 991025406440332120210511130500.03-319-32377-610.1007/978-3-319-32377-0(CKB)3710000000765127(DE-He213)978-3-319-32377-0(MiAaPQ)EBC4602936(PPN)194516733(EXLCZ)99371000000076512720160719d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierPi: The Next Generation A Sourcebook on the Recent History of Pi and Its Computation /by David H. Bailey, Jonathan M. Borwein1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XIV, 507 p.)3-319-32375-X Includes bibliographical references at the end of each chapters and index.Foreword -- Preface -- Introduction -- Computation of pi using arithmetic-geometric mean -- Fast multiple-precision evaluation of elementary functions -- The arithmetic-geometric mean of Gauss -- The arithmetic-geometric mean and fast computation of elementary functions -- A simplified version of the fast algorithms of Brent and Salamin -- Is pi normal? -- The computation of pi to 29,360,000 decimal digits using Borweins' quartically convergent algorithm -- Gauss, Landen, Ramanujan, the arithmetic-geometric mean, ellipses, pi, and the ladies diary -- Vectorization of multiple-precision arithmetic program and 201,326,000 decimal digits of pi calculation.-Ramanujan and pi -- 11. Ramanujan, modular equations, and approximations to pi or how to compute one billion digits of pi -- Pi, Euler numbers, and asymptotic expansions -- A spigot algorithm for the digits of pi -- On the rapid computation of various polylogarithmic constants -- Similarities in irrationality proofs for pi, ln 2, ζ(2), and ζ(3) -- Unbounded spigot algorithms for the digits of pi -- Mathematics by experiment: Plausible reasoning in the 21st century -- Approximations to pi derived from integrals with nonnegative integrands -- Ramanujan's series for 1/π: A survey -- The computation of previously inaccessible digits of π2 and Catalan's constant -- Walking on real numbers -- Birth, growth and computation of pi to ten trillion digits -- Pi day is upon us again and we still do not know if pi is normal -- The Life of pi -- I prefer pi: A brief mathematical history and anthology of articles in the American Mathematical Monthly -- Bibliography -- Index.This book contains a compendium of 25 papers published since the 1970s dealing with pi and associated topics of mathematics and computer science. The collection begins with a Foreword by Bruce Berndt. Each contribution is preceded by a brief summary of its content as well as a short key word list indicating how the content relates to others in the collection. The volume includes articles on actual computations of pi, articles on mathematical questions related to pi (e.g., “Is pi normal?”), articles presenting new and often amazing techniques for computing digits of pi (e.g., the “BBP” algorithm for pi, which permits one to compute an arbitrary binary digit of pi without needing to compute any of the digits that came before), papers presenting important fundamental mathematical results relating to pi, and papers presenting new, high-tech techniques for analyzing pi (i.e., new graphical techniques that permit one to visually see if pi and other numbers are “normal”). his volume="" is="" a="" companion="" to Pi: A Source Book whose third edition released in 2004. The present collection begins with 2 papers from 1976, published by Eugene Salamin and Richard Brent, which describe “quadratically convergent” algorithms for pi and other basic mathematical functions, derived from some mathematical work of Gauss. Bailey and Borwein hold that these two papers constitute the beginning of the modern era of computational mathematics. This time period (1970s) also corresponds with the introduction of high-performance computer systems (supercomputers), which since that time have increased relentlessly in power, by approximately a factor of 100,000,000, advancing roughly at the same rate as Moore’s Law of semiconductor technology. This book may be of interest to a wide range of mathematical readers; some articles cover more advanced research questions suitable for active researchers in the field, but several are highly accessible to undergraduate mathematics students.Computer scienceMathematicsNumber theoryMathematicsHistoryComputational Mathematics and Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M1400XNumber Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/M25001History of Mathematical Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M23009Computer scienceMathematics.Number theory.Mathematics.History.Computational Mathematics and Numerical Analysis.Number Theory.History of Mathematical Sciences.518Bailey David Hauthttp://id.loc.gov/vocabulary/relators/aut60779Borwein Jonathan Mauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254064403321Pi: The Next Generation2093312UNINA