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Short description Aspen Plus is on of the most popular process simulation software programs used industrially and academically. This book fills an educational gap by providing step-by-step instruction covering its use. The structure of the book is unique in that it emulates a lecture /workshop classroom environment. The enclosed CD contains solutions, both in Aspen Plus and text formats, to examples embedded in the text as well as to all the workshops. There are also notes at the end of each chapter specifically design to aid learners.
From the contents PREFACE.
1 INTRODUCTION TO ASPEN PLUS.
1.1 Starting Aspen Plus.
1.2 Graphic Users Interface.
1.3 Next Button.
1.4 Setup Specifications Display.
1.5 Simulation Options.
1.6 Units.
1.7 Components.
1.8 Properties.
1.9 Streams.
1.10 Blocks.
1.11 Viewing Results.
1.12 Object Manager.
1.13 Plotting Results.
References.
2 PROPERTIES.
2.1 Pure Component Data Banks.
2.2 Property Analysis.
2.3 Property Estimation.
COPYRIGHTED MATERIAL.
2.4 Workshops.
References.
3 THESIMPLEBLOCKS.
3.1 Mixer/Splitter Blocks.
3.1.1 Mixer Block.
3.1.2 Fsplit Block.
3.2 Simple Separator Blocks.
3.2.1 Sep Block.
3.2.2 Sep2 Block.
3.3 Some Manipulator Blocks.
3.3.1 Dupl Block.
3.3.2 Mult Block.
3.4 Workshops.
4 PROCESSES WITH RECYCLE.
4.1 Blocks with Recycle.
4.2 Heuristics.
4.3 Workshops.
References.
5 FLOWSHEETING AND MODEL ANALYSIS TOOLS./b>
5.1 Introduction to Fortran in Aspen Plus.
5.2 Basic Interpreted Fortran Capabilities.
5.2.1 Primary Fortran Operators.
5.2.2 Precedence of Calculations.
5.2.3 Statement Format.
5.2.4 Program Logic Control.
5.3 Sensitivity Function.
5.4 Design Specification.
5.5 Calculator Function.
5.6 Transfer Function.
5.7 Workshops.
References.
6 THE DATA REGRESSION SYSTEM.
6.1 Parameters of Equations of State.
6.2 Parameters of Activity Coefficient Equations.
6.3 Basic Ideas of Regression.
6.4 Mathematics of Regression.
6.4.1 Newton-Raphson Method for Solution of Nonlinear Equations.
6.4.2 Direct Optimization of an Objective Function.
6.5 Practical Aspects of Regression of VLE or LLE Data.