{"product_id":"introduction-to-chemical-engineering-computing-isbn-9781118888315","title":"Introduction to Chemical Engineering Computing","description":"\u003cp\u003e\u003cb\u003eStep-by-step instructions enable chemical engineers to master key software programs and solve complex problems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eToday, both students and professionals in chemical engineering must solve increasingly complex problems dealing with refineries, fuel cells, microreactors, and pharmaceutical plants, to name a few. With this book as their guide, readers learn to solve these problems using their computers and Excel, MATLAB, Aspen Plus, and COMSOL Multiphysics. Moreover, they learn how to check their solutions and validate their results to make sure they have solved the problems correctly.\u003c\/p\u003e \u003cp\u003eNow in its \u003ci\u003eSecond Edition, Introduction to Chemical Engineering Computing\u003c\/i\u003e is based on the author’s firsthand teaching experience. As a result, the emphasis is on problem solving. Simple introductions help readers become conversant with each program and then tackle a broad range of problems in chemical engineering, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eEquations of state\u003c\/li\u003e \u003cli\u003eChemical reaction equilibria\u003c\/li\u003e \u003cli\u003eMass balances with recycle streams\u003c\/li\u003e \u003cli\u003eThermodynamics and simulation of mass transfer equipment\u003c\/li\u003e \u003cli\u003eProcess simulation\u003c\/li\u003e \u003cli\u003eFluid flow in two and three dimensions\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAll the chapters contain clear instructions, figures, and examples to guide readers through all the programs and types of chemical engineering problems. Problems at the end of each chapter, ranging from simple to difficult, allow readers to gradually build their skills, whether they solve the problems themselves or in teams. In addition, the book’s accompanying website lists the core principles learned from each problem, both from a chemical engineering and a computational perspective.\u003c\/p\u003e \u003cp\u003eCovering a broad range of disciplines and problems within chemical engineering, \u003ci\u003eIntroduction to Chemical Engineering Computing\u003c\/i\u003e is recommended for both undergraduate and graduate students as well as practicing engineers who want to know how to choose the right computer software program and tackle almost any chemical engineering problem.\u003c\/p\u003e  Preface xv  \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOrganization, 2\u003c\/p\u003e \u003cp\u003eAlgebraic Equations, 3\u003c\/p\u003e \u003cp\u003eProcess Simulation, 3\u003c\/p\u003e \u003cp\u003eDifferential Equations, 3\u003c\/p\u003e \u003cp\u003eAppendices, 4\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Equations of State 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEquations of State—Mathematical Formulation, 8\u003c\/p\u003e \u003cp\u003eSolving Equations of State Using Excel (Single Equation in One Unknown), 12\u003c\/p\u003e \u003cp\u003eSolution Using “Goal Seek”, 12\u003c\/p\u003e \u003cp\u003eSolution Using “Solver”, 13\u003c\/p\u003e \u003cp\u003eExample of a Chemical Engineering Problem Solved Using “Goal Seek”, 13\u003c\/p\u003e \u003cp\u003eSolving Equations of State Using MATLAB (Single Equation in\u003c\/p\u003e \u003cp\u003eOne Unknown), 15\u003c\/p\u003e \u003cp\u003eExample of a Chemical Engineering Problem Solved Using MATLAB, 16\u003c\/p\u003e \u003cp\u003eAnother Example of a Chemical Engineering Problem Solved Using\u003c\/p\u003e \u003cp\u003eMATLAB, 18\u003c\/p\u003e \u003cp\u003eEquations of State With Aspen Plus, 20\u003c\/p\u003e \u003cp\u003eExample Using Aspen Plus, 20\u003c\/p\u003e \u003cp\u003eSpecific Volume of a Mixture, 21\u003c\/p\u003e \u003cp\u003eChapter Summary, 26\u003c\/p\u003e \u003cp\u003eProblems, 26\u003c\/p\u003e \u003cp\u003eNumerical Problems, 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Vapor–Liquid Equilibria 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFlash and Phase Separation, 30\u003c\/p\u003e \u003cp\u003eIsothermal Flash—Development of Equations, 30\u003c\/p\u003e \u003cp\u003eExample Using Excel, 32\u003c\/p\u003e \u003cp\u003eThermodynamic Parameters, 33\u003c\/p\u003e \u003cp\u003eExample Using MATLAB, 34\u003c\/p\u003e \u003cp\u003eExample Using Aspen Plus, 35\u003c\/p\u003e \u003cp\u003eNonideal Liquids—Test of Thermodynamic Model, 39\u003c\/p\u003e \u003cp\u003eNIST Thermo Data Engine in Aspen Plus, 41\u003c\/p\u003e \u003cp\u003eChapter Summary, 44\u003c\/p\u003e \u003cp\u003eProblems, 44\u003c\/p\u003e \u003cp\u003eNumerical Problems, 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Chemical Reaction Equilibria 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChemical Equilibrium Expression, 50\u003c\/p\u003e \u003cp\u003eExample of Hydrogen for Fuel Cells, 51\u003c\/p\u003e \u003cp\u003eSolution Using Excel, 52\u003c\/p\u003e \u003cp\u003eSolution Using MATLAB, 53\u003c\/p\u003e \u003cp\u003eChemical Reaction Equilibria with Two or More Equations, 56\u003c\/p\u003e \u003cp\u003eMultiple Equations, Few Unknowns Using MATLAB, 56\u003c\/p\u003e \u003cp\u003eChemical Reaction Equilibria Using Aspen Plus, 59\u003c\/p\u003e \u003cp\u003eChapter Summary, 59\u003c\/p\u003e \u003cp\u003eProblems, 60\u003c\/p\u003e \u003cp\u003eNumerical Problems, 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Mass Balances with Recycle Streams 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMathematical Formulation, 66\u003c\/p\u003e \u003cp\u003eExample Without Recycle, 68\u003c\/p\u003e \u003cp\u003eExample with Recycle; Comparison of Sequential and Simultaneous\u003c\/p\u003e \u003cp\u003eSolution Methods, 70\u003c\/p\u003e \u003cp\u003eExample of Process Simulation Using Excel for Simple Mass Balances, 72\u003c\/p\u003e \u003cp\u003eExample of Process Simulation Using Aspen Plus for Simple\u003c\/p\u003e \u003cp\u003eMass Balances, 73\u003c\/p\u003e \u003cp\u003eExample of Process Simulation with Excel Including Chemical Reaction\u003c\/p\u003e \u003cp\u003eEquilibria, 74\u003c\/p\u003e \u003cp\u003eDid the Iterations Converge?, 75\u003c\/p\u003e \u003cp\u003eExtensions, 76\u003c\/p\u003e \u003cp\u003eChapter Summary, 76\u003c\/p\u003e \u003cp\u003eClass Exercises, 76\u003c\/p\u003e \u003cp\u003eClass Discussion (After Viewing Problem 5.10 on the Book Website), 76\u003c\/p\u003e \u003cp\u003eProblems, 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Thermodynamics and Simulation of Mass Transfer Equipment 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThermodynamics, 86\u003c\/p\u003e \u003cp\u003eGuidelines for Choosing, 89\u003c\/p\u003e \u003cp\u003eProperties Environment | Home | Methods Selection Assistant, 89\u003c\/p\u003e \u003cp\u003eThermodynamic Models, 90\u003c\/p\u003e \u003cp\u003eExample: Multicomponent Distillation with Shortcut Methods, 91\u003c\/p\u003e \u003cp\u003eMulticomponent Distillation with Rigorous Plate-to-Plate Methods, 95\u003c\/p\u003e \u003cp\u003eExample: Packed Bed Absorption, 97\u003c\/p\u003e \u003cp\u003eExample: Gas Plant Product Separation, 100\u003c\/p\u003e \u003cp\u003eExample: Water Gas Shift Equilibrium Reactor with Sensitivity Block and\u003c\/p\u003e \u003cp\u003eDesign Specification Block, 102\u003c\/p\u003e \u003cp\u003eChapter Summary, 106\u003c\/p\u003e \u003cp\u003eClass Exercise, 106\u003c\/p\u003e \u003cp\u003eProblems (using Aspen Plus), 106\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Process Simulation 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eModel Library, 110\u003c\/p\u003e \u003cp\u003eExample: Ammonia Process, 110\u003c\/p\u003e \u003cp\u003eDevelopment of the Model, 112\u003c\/p\u003e \u003cp\u003eSolution of the Model, 115\u003c\/p\u003e \u003cp\u003eExamination of Results, 115\u003c\/p\u003e \u003cp\u003eTesting the Thermodynamic Model, 118\u003c\/p\u003e \u003cp\u003eUtility Costs, 118\u003c\/p\u003e \u003cp\u003eGreenhouse Gas Emissions, 120\u003c\/p\u003e \u003cp\u003eConvergence Hints, 120\u003c\/p\u003e \u003cp\u003eOptimization, 122\u003c\/p\u003e \u003cp\u003eIntegrated Gasification Combined Cycle, 125\u003c\/p\u003e \u003cp\u003eCellulose to Ethanol, 126\u003c\/p\u003e \u003cp\u003eChapter Summary, 128\u003c\/p\u003e \u003cp\u003eClass Exercise, 128\u003c\/p\u003e \u003cp\u003eProblems, 128\u003c\/p\u003e \u003cp\u003eProblems Involving Corn Stover and Ethanol, 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Chemical Reactors 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMathematical Formulation of Reactor Problems, 138\u003c\/p\u003e \u003cp\u003eExample: Plug Flow Reactor and Batch Reactor, 138\u003c\/p\u003e \u003cp\u003eExample: Continuous Stirred Tank Reactor, 140\u003c\/p\u003e \u003cp\u003eUsing MATLAB to Solve Ordinary Differential Equations, 140\u003c\/p\u003e \u003cp\u003eSimple Example, 140\u003c\/p\u003e \u003cp\u003eUse of the “Global” Command, 142\u003c\/p\u003e \u003cp\u003ePassing Parameters, 143\u003c\/p\u003e \u003cp\u003eExample: Isothermal Plug Flow Reactor, 144\u003c\/p\u003e \u003cp\u003eExample: Nonisothermal Plug Flow Reactor, 146\u003c\/p\u003e \u003cp\u003eUsing Comsol Multiphysics to Solve Ordinary Differential Equations, 148\u003c\/p\u003e \u003cp\u003eSimple Example, 148\u003c\/p\u003e \u003cp\u003eExample: Isothermal Plug Flow Reactor, 150\u003c\/p\u003e \u003cp\u003eExample: Nonisothermal Plug Flow Reactor, 151\u003c\/p\u003e \u003cp\u003eReactor Problems with Mole Changes and Variable Density, 153\u003c\/p\u003e \u003cp\u003eChemical Reactors with Mass Transfer Limitations, 155\u003c\/p\u003e \u003cp\u003ePlug Flow Chemical Reactors in Aspen Plus, 158\u003c\/p\u003e \u003cp\u003eContinuous Stirred Tank Reactors, 161\u003c\/p\u003e \u003cp\u003eSolution Using Excel, 162\u003c\/p\u003e \u003cp\u003eSolution Using MATLAB, 163\u003c\/p\u003e \u003cp\u003eCSTR with Multiple Solutions, 163\u003c\/p\u003e \u003cp\u003eTransient Continuous Stirred Tank Reactors, 164\u003c\/p\u003e \u003cp\u003eChapter Summary, 168\u003c\/p\u003e \u003cp\u003eProblems, 169\u003c\/p\u003e \u003cp\u003eNumerical Problems (See Appendix E), 174\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Transport Processes in One Dimension 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eApplications in Chemical Engineering—Mathematical Formulations, 176\u003c\/p\u003e \u003cp\u003eHeat Transfer, 176\u003c\/p\u003e \u003cp\u003eDiffusion and Reaction, 177\u003c\/p\u003e \u003cp\u003eFluid Flow, 178\u003c\/p\u003e \u003cp\u003eUnsteady Heat Transfer, 180\u003c\/p\u003e \u003cp\u003eIntroduction to Comsol Multiphysics, 180\u003c\/p\u003e \u003cp\u003eExample: Heat Transfer in a Slab, 181\u003c\/p\u003e \u003cp\u003eSolution Using Comsol Multiphysics, 181\u003c\/p\u003e \u003cp\u003eSolution Using MATLAB, 184\u003c\/p\u003e \u003cp\u003eExample: Reaction and Diffusion, 185\u003c\/p\u003e \u003cp\u003eParametric Solution, 186\u003c\/p\u003e \u003cp\u003eExample: Flow of a Newtonian Fluid in a Pipe, 188\u003c\/p\u003e \u003cp\u003eExample: Flow of a Non-Newtonian Fluid in a Pipe, 190\u003c\/p\u003e \u003cp\u003eExample: Transient Heat Transfer, 193\u003c\/p\u003e \u003cp\u003eSolution Using Comsol Multiphysics, 193\u003c\/p\u003e \u003cp\u003eSolution Using MATLAB, 195\u003c\/p\u003e \u003cp\u003eExample: Linear Adsorption, 196\u003c\/p\u003e \u003cp\u003eExample: Chromatography, 199\u003c\/p\u003e \u003cp\u003ePressure Swing Adsorption, 203\u003c\/p\u003e \u003cp\u003eChapter Summary, 204\u003c\/p\u003e \u003cp\u003eProblems, 204\u003c\/p\u003e \u003cp\u003eChemical Reaction, 204\u003c\/p\u003e \u003cp\u003eChemical Reaction and Heat Transfer, 205\u003c\/p\u003e \u003cp\u003eMass Transfer, 207\u003c\/p\u003e \u003cp\u003eHeat Transfer, 207\u003c\/p\u003e \u003cp\u003eElectrical Fields, 207\u003c\/p\u003e \u003cp\u003eFluid Flow, 208\u003c\/p\u003e \u003cp\u003eNumerical Problems (See Appendix E), 213\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Fluid Flow in Two and Three Dimensions 215\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMathematical Foundation of Fluid Flow, 217\u003c\/p\u003e \u003cp\u003eNavier–Stokes Equation, 217\u003c\/p\u003e \u003cp\u003eNon-Newtonian Fluid, 218\u003c\/p\u003e \u003cp\u003eNondimensionalization, 219\u003c\/p\u003e \u003cp\u003eOption One: Slow Flows, 219\u003c\/p\u003e \u003cp\u003eOption Two: High-Speed Flows, 220\u003c\/p\u003e \u003cp\u003eExample: Entry Flow in a Pipe, 221\u003c\/p\u003e \u003cp\u003eExample: Entry Flow of a Non-Newtonian Fluid, 226\u003c\/p\u003e \u003cp\u003eExample: Flow in Microfluidic Devices, 227\u003c\/p\u003e \u003cp\u003eExample: Turbulent Flow in a Pipe, 230\u003c\/p\u003e \u003cp\u003eExample: Start-Up Flow in a Pipe, 233\u003c\/p\u003e \u003cp\u003eExample: Flow Through an Orifice, 235\u003c\/p\u003e \u003cp\u003eExample: Flow in a Serpentine Mixer, 239\u003c\/p\u003e \u003cp\u003eMicrofluidics, 240\u003c\/p\u003e \u003cp\u003eMechanical Energy Balance for Laminar Flow, 243\u003c\/p\u003e \u003cp\u003ePressure Drop for Contractions and Expansions, 245\u003c\/p\u003e \u003cp\u003eGeneration of Two-Dimensional Inlet Velocity Profiles for\u003c\/p\u003e \u003cp\u003eThree-Dimensional Simulations, 246\u003c\/p\u003e \u003cp\u003eChapter Summary, 249\u003c\/p\u003e \u003cp\u003eProblems, 249\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Heat and Mass Transfer in Two and Three Dimensions 259\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eConvective Diffusion Equation, 260\u003c\/p\u003e \u003cp\u003eNondimensional Equations, 261\u003c\/p\u003e \u003cp\u003eExample: Heat Transfer in Two Dimensions, 262\u003c\/p\u003e \u003cp\u003eExample: Heat Conduction with a Hole, 264\u003c\/p\u003e \u003cp\u003eExample: Convective Diffusion in Microfluidic Devices, 265\u003c\/p\u003e \u003cp\u003eExample: Concentration-Dependent Viscosity, 268\u003c\/p\u003e \u003cp\u003eExample: Viscous Dissipation, 269\u003c\/p\u003e \u003cp\u003eExample: Chemical Reaction, 270\u003c\/p\u003e \u003cp\u003eExample: Wall Reactions, 272\u003c\/p\u003e \u003cp\u003eExample: Mixing in a Serpentine Mixer, 272\u003c\/p\u003e \u003cp\u003eMicrofluidics, 274\u003c\/p\u003e \u003cp\u003eCharacterization of Mixing, 276\u003c\/p\u003e \u003cp\u003eAverage Concentration along an Optical Path, 276\u003c\/p\u003e \u003cp\u003ePeclet Number, 276\u003c\/p\u003e \u003cp\u003eExample: Convection and Diffusion in a Three-Dimensional T-Sensor, 278\u003c\/p\u003e \u003cp\u003eChapter Summary, 280\u003c\/p\u003e \u003cp\u003eProblems, 280\u003c\/p\u003e \u003cp\u003eSteady, Two-Dimensional Problems, 280\u003c\/p\u003e \u003cp\u003eHeat Transfer with Flow, 283\u003c\/p\u003e \u003cp\u003eReaction with Known Flow, 284\u003c\/p\u003e \u003cp\u003eReaction with No Flow, 285\u003c\/p\u003e \u003cp\u003eSolve for Concentration and Flow, 286\u003c\/p\u003e \u003cp\u003eNumerical Problems, 289\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A HintsWhen Using Excel® 291\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 291\u003c\/p\u003e \u003cp\u003eCalculation, 292\u003c\/p\u003e \u003cp\u003ePlotting, 293\u003c\/p\u003e \u003cp\u003eImport and Export, 294\u003c\/p\u003e \u003cp\u003ePresentation, 294\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B HintsWhen Using MATLAB® 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Features, 298\u003c\/p\u003e \u003cp\u003eScreen Format, 298\u003c\/p\u003e \u003cp\u003eStop\/Closing the Program, 299\u003c\/p\u003e \u003cp\u003em-files and Scripts, 299\u003c\/p\u003e \u003cp\u003eWorkspaces and Transfer of Information, 300\u003c\/p\u003e \u003cp\u003e“Global” Command, 300\u003c\/p\u003e \u003cp\u003eDisplay Tools, 301\u003c\/p\u003e \u003cp\u003eClasses of Data, 301\u003c\/p\u003e \u003cp\u003eProgramming Options: Input\/Output, Loops, Conditional Statements, Timing, and Matrices, 302\u003c\/p\u003e \u003cp\u003eInput\/Output, 302\u003c\/p\u003e \u003cp\u003eLoops, 303\u003c\/p\u003e \u003cp\u003eConditional Statements, 303\u003c\/p\u003e \u003cp\u003eTiming Information, 304\u003c\/p\u003e \u003cp\u003eMatrices, 304\u003c\/p\u003e \u003cp\u003eMatrix Multiplication, 304\u003c\/p\u003e \u003cp\u003eElement by Element Calculations, 305\u003c\/p\u003e \u003cp\u003eMore Information, 306\u003c\/p\u003e \u003cp\u003eFinding and Fixing Errors, 306\u003c\/p\u003e \u003cp\u003eEigenvalues of a Matrix, 307\u003c\/p\u003e \u003cp\u003eEvaluate an Integral, 307\u003c\/p\u003e \u003cp\u003eSpline Interpolation, 307\u003c\/p\u003e \u003cp\u003eInterpolate Data, Evaluate the Polynomial, and Plot the Result, 308\u003c\/p\u003e \u003cp\u003eSolve Algebraic Equations, 309\u003c\/p\u003e \u003cp\u003eUsing “fsolve”, 309\u003c\/p\u003e \u003cp\u003eSolve Algebraic Equations Using “fzero” or “fminsearch” (Both in Standard MATLAB), 309\u003c\/p\u003e \u003cp\u003eIntegrate Ordinary Differential Equations that are Initial Value Problems, 309\u003c\/p\u003e \u003cp\u003eDifferential-Algebraic Equations, 311\u003c\/p\u003e \u003cp\u003eChecklist for Using “ode45” and Other Integration Packages, 311\u003c\/p\u003e \u003cp\u003ePlotting, 312\u003c\/p\u003e \u003cp\u003eSimple Plots, 312\u003c\/p\u003e \u003cp\u003eAdd Data to an Existing Plot, 312\u003c\/p\u003e \u003cp\u003eDress Up Your Plot, 312\u003c\/p\u003e \u003cp\u003eMultiple Plots, 313\u003c\/p\u003e \u003cp\u003e3D Plots, 313\u003c\/p\u003e \u003cp\u003eMore Complicated Plots, 314\u003c\/p\u003e \u003cp\u003eUse Greek Letters and Symbols in the Text, 314\u003c\/p\u003e \u003cp\u003eBold, Italics, and Subscripts, 314\u003c\/p\u003e \u003cp\u003eOther Applications, 315\u003c\/p\u003e \u003cp\u003ePlotting Results from Integration of Partial Differential Equations Using Method of Lines, 315\u003c\/p\u003e \u003cp\u003eImport\/Export Data, 315\u003c\/p\u003e \u003cp\u003eImport\/Export with Comsol Multiphysics, 318\u003c\/p\u003e \u003cp\u003eProgramming Graphical User Interfaces, 318\u003c\/p\u003e \u003cp\u003eMATLAB Help, 318\u003c\/p\u003e \u003cp\u003eApplications of MATLAB, 319\u003c\/p\u003e \u003cp\u003eAppendix C Hints When Using Aspen Plus® 321\u003c\/p\u003e \u003cp\u003eIntroduction, 321\u003c\/p\u003e \u003cp\u003eFlowsheet, 323\u003c\/p\u003e \u003cp\u003eModel Library, 323\u003c\/p\u003e \u003cp\u003ePlace Units on Flowsheet, 324\u003c\/p\u003e \u003cp\u003eConnect the Units with Streams, 324\u003c\/p\u003e \u003cp\u003eData, 324\u003c\/p\u003e \u003cp\u003eSetup, 324\u003c\/p\u003e \u003cp\u003eData Entry, 325\u003c\/p\u003e \u003cp\u003eSpecify Components, 325\u003c\/p\u003e \u003cp\u003eSpecify Properties, 325\u003c\/p\u003e \u003cp\u003eSpecify Input Streams, 326\u003c\/p\u003e \u003cp\u003eSpecify Block Parameters, 326\u003c\/p\u003e \u003cp\u003eRun the Problem, 326\u003c\/p\u003e \u003cp\u003eScrutinize the Stream Table, 327\u003c\/p\u003e \u003cp\u003eChecking Your Results, 328\u003c\/p\u003e \u003cp\u003eChange Conditions, 328\u003c\/p\u003e \u003cp\u003eReport, 329\u003c\/p\u003e \u003cp\u003eTransfer the Flowsheet and Mass and Energy Balance to a Word Processing Program, 329\u003c\/p\u003e \u003cp\u003ePrepare Your Report, 329\u003c\/p\u003e \u003cp\u003eSave Your Results, 330\u003c\/p\u003e \u003cp\u003eGetting Help, 330\u003c\/p\u003e \u003cp\u003eAdvanced Features, 330\u003c\/p\u003e \u003cp\u003eFlowsheet Sections, 330\u003c\/p\u003e \u003cp\u003eMass Balance Only Simulations and Inclusion of Solids, 331\u003c\/p\u003e \u003cp\u003eTransfer Between Excel and Aspen, 331\u003c\/p\u003e \u003cp\u003eBlock Summary, 331\u003c\/p\u003e \u003cp\u003eCalculator Blocks, 332\u003c\/p\u003e \u003cp\u003eAspen Examples, 334\u003c\/p\u003e \u003cp\u003eMolecule Draw, 334\u003c\/p\u003e \u003cp\u003eApplications of Aspen Plus, 334\u003c\/p\u003e \u003cp\u003eAppendix D HintsWhen Using Comsol Multiphysics® 335\u003c\/p\u003e \u003cp\u003eBasic Comsol Multiphysics Techniques, 336\u003c\/p\u003e \u003cp\u003eOpening Screens, 336\u003c\/p\u003e \u003cp\u003eEquations, 337\u003c\/p\u003e \u003cp\u003eSpecify the Problem and Parameters, 337\u003c\/p\u003e \u003cp\u003ePhysics, 339\u003c\/p\u003e \u003cp\u003eDefinitions, 339\u003c\/p\u003e \u003cp\u003eGeometry, 339\u003c\/p\u003e \u003cp\u003eMaterials, 340\u003c\/p\u003e \u003cp\u003eDiscretization, 341\u003c\/p\u003e \u003cp\u003eBoundary Conditions, 341\u003c\/p\u003e \u003cp\u003eMesh, 342\u003c\/p\u003e \u003cp\u003eSolve and Examine the Solution, 342\u003c\/p\u003e \u003cp\u003eSolve, 342\u003c\/p\u003e \u003cp\u003ePlot, 342\u003c\/p\u003e \u003cp\u003ePublication Quality Figures, 343\u003c\/p\u003e \u003cp\u003eResults, 343\u003c\/p\u003e \u003cp\u003eProbes, 344\u003c\/p\u003e \u003cp\u003eData Sets, 344\u003c\/p\u003e \u003cp\u003eAdvanced Features, 345\u003c\/p\u003e \u003cp\u003eMesh, 345\u003c\/p\u003e \u003cp\u003eTransfer to Excel, 346\u003c\/p\u003e \u003cp\u003eLiveLink with MATLAB, 347\u003c\/p\u003e \u003cp\u003eVariables, 348\u003c\/p\u003e \u003cp\u003eAnimation, 349\u003c\/p\u003e \u003cp\u003eStudies, 349\u003c\/p\u003e \u003cp\u003eHelp with Convergence, 349\u003c\/p\u003e \u003cp\u003eHelp with Time-Dependent Problems, 350\u003c\/p\u003e \u003cp\u003eJump Discontinuity, 350\u003c\/p\u003e \u003cp\u003eHelp, 351\u003c\/p\u003e \u003cp\u003eApplications of Comsol Multiphysics, 351\u003c\/p\u003e \u003cp\u003eAppendix E Mathematical Methods 353\u003c\/p\u003e \u003cp\u003eAlgebraic Equations, 354\u003c\/p\u003e \u003cp\u003eSuccessive Substitution, 354\u003c\/p\u003e \u003cp\u003eNewton–Raphson, 354\u003c\/p\u003e \u003cp\u003eOrdinary Differential Equations as Initial Value Problems, 356\u003c\/p\u003e \u003cp\u003eEuler’s Method, 356\u003c\/p\u003e \u003cp\u003eRunge–Kutta Methods, 357\u003c\/p\u003e \u003cp\u003eMATLAB and ode45 and ode15s, 357\u003c\/p\u003e \u003cp\u003eOrdinary Differential Equations as Boundary Value Problems, 358\u003c\/p\u003e \u003cp\u003eFinite Difference Method, 359\u003c\/p\u003e \u003cp\u003eFinite Difference Method in Excel, 360\u003c\/p\u003e \u003cp\u003eFinite Element Method in One Space Dimension, 361\u003c\/p\u003e \u003cp\u003eInitial Value Methods, 363\u003c\/p\u003e \u003cp\u003ePartial Differential Equations in time and One Space Dimension, 365\u003c\/p\u003e \u003cp\u003eProblems with Strong Convection, 366\u003c\/p\u003e \u003cp\u003ePartial Differential Equations in Two Space Dimensions, 367\u003c\/p\u003e \u003cp\u003eFinite-Difference Method for Elliptic Equations in Excel, 367\u003c\/p\u003e \u003cp\u003eFinite Element Method for Two-Dimensional Problems, 368\u003c\/p\u003e \u003cp\u003eSummary, 370\u003c\/p\u003e \u003cp\u003eProblems, 370\u003c\/p\u003e \u003cp\u003eReferences 373\u003c\/p\u003e \u003cp\u003eIndex 379\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBRUCE A. FINLAYSON, PhD,\u003c\/b\u003e is Rehnberg Professor Emeritus of Chemical Engineering in the Department of Chemical Engineering of the University of Washington. He is also a former president of the American Institute of Chemical Engineers (AIChE). Among his many accolades and honors, Dr. Finlayson is a recipient of the AIChE’s prestigious William H. Walker Award and an elected member of the National Academy of Engineering.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eStep-by-step instructions enable chemical engineers to master key software programs and solve complex problems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eToday, both students and professionals in chemical engineering must solve increasingly complex problems dealing with refineries, fuel cells, microreactors, and pharmaceutical plants, to name a few. With this book as their guide, readers learn to solve these problems using their computers and Excel, MATLAB, Aspen Plus, and COMSOL Multiphysics. Moreover, they learn how to check their solutions and validate their results to make sure they have solved the problems correctly.\u003c\/p\u003e \u003cp\u003eNow in its \u003ci\u003eSecond Edition, Introduction to Chemical Engineering Computing\u003c\/i\u003e is based on the author’s firsthand teaching experience. As a result, the emphasis is on problem solving. Simple introductions help readers become conversant with each program and then tackle a broad range of problems in chemical engineering, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eEquations of state\u003c\/li\u003e \u003cli\u003eChemical reaction equilibria\u003c\/li\u003e \u003cli\u003eMass balances with recycle streams\u003c\/li\u003e \u003cli\u003eThermodynamics and simulation of mass transfer equipment\u003c\/li\u003e \u003cli\u003eProcess simulation\u003c\/li\u003e \u003cli\u003eFluid flow in two and three dimensions\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAll the chapters contain clear instructions, figures, and examples to guide readers through all the programs and types of chemical engineering problems. Problems at the end of each chapter, ranging from simple to difficult, allow readers to gradually build their skills, whether they solve the problems themselves or in teams. In addition, the book’s accompanying website lists the core principles learned from each problem, both from a chemical engineering and a computational perspective.\u003c\/p\u003e \u003cp\u003eCovering a broad range of disciplines and problems within chemical engineering, \u003ci\u003eIntroduction to Chemical Engineering Computing\u003c\/i\u003e is recommended for both undergraduate and graduate students as well as practicing engineers who want to know how to choose the right computer software program and tackle almost any chemical engineering problem.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989456830693,"sku":"NP9781118888315","price":54.5,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118888315.jpg?v=1761784172","url":"https:\/\/k12savings.com\/products\/introduction-to-chemical-engineering-computing-isbn-9781118888315","provider":"K12savings","version":"1.0","type":"link"}