Full Scale Plant Optimization in Chemical Engineering - A Practical Guide
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| Verlag | Wiley-VCH |
| Auflage | 2022 |
| Seiten | 272 |
| Format | 17,5 x 1,9 x 24,9 cm |
| Gewicht | 672 g |
| Artikeltyp | Englisches Buch |
| ISBN-10 | 3527350381 |
| EAN | 9783527350384 |
| Bestell-Nr | 52735038A |
Inhaltsverzeichnis:
PrefaceI Basic Ideas1.1 IntroductionII Design of Experiments (DOE)2.1 22 Factorial Designs2.2 Effects for the 22 Factorial Designs2.3 Interactions Between Factors2.4 Standard Error for the Effects2.5 The 23 Factorial Design2.6 Effects for the 23 Factorial Designs2.7 Standard Errors of Effects for Two-Level Factorial DesignsIII Neural Network Modeling-Data Mining3.1 Data Preprocessing3.2 Building, Training and Verifying the Model3.3 Analyzing the Model3.4 What-Ifs Optimization3.5 DOE Experiment Using Neural Networks ModelIV Evolutionary Operation-EVOP4.1 Small-Scale and Plant-Scale Investigation4.2 Scale-Up4.3 Static and Evolutionary Operation4.4 Analysis of the Information Board4.5 Three Factors Scheme4.6 Current Best known Conditions4.7 Change in Mean for a 22 Factorial Design with Center Point4.8 Standard Errors for the Effects4.9 The Effects and Their Standard Errors for a 22 Design with Center Point4.10 Analysis of the Information Board for Three Responses Using the Factorial Effects4.11 23 Factorial Design Effects, Interpretation and Information Board4.12 Dividing the 23 Factorial Design Into Two Blocks4.13 23 Design with Two Center Points Run in Two BlocksV Different Techniques of EVOP5.1 Box EVOP-BEVOP5.2 Calculation Procedure for Two Factors EVOP5.3 Conclusions from the Information Board5.4 Calculation Procedure for the Three Factors EVOP5.5 BEVOP in Plant-Scale Experiments5.6 BEVOP Application5.7 BEVOP Advantages & Disadvantages5.8 BEVOP Simulation5.8.1 22 BEVOP Simulation5.8.2 23 BEVOP Simulation5.9 Rotating Square Evolutionary Operation-ROVOP5.9.1 22 ROVOP Simulation5.9.2 Method of Analysis5.9.3 22 ROVOP Simulation5.9.4 23 ROVOP Simulation5.10 Random Evolutionary Operation-REVOP5.10.1 REVOP Simulation5.11 Quick Start EVOP-QSEVOP5.11.1 QSEVOP Simulation 5.12 Simplex Evolutionary Operation-SEVOP5.12.1 The Basic Simplex Method5.12.2 Simplex Evolutionary Operation-SEVOP5.12.3 SEVOP Simulation5.13 Some Practical Advice About Using EVOPVI EVOP Softwar eVII. AppendixA-I The Approximate Method of Estimating the Standard Deviation in EVOPA-II 22 Two Factors Box EVOP Calculations with the Center PointA-III Short Table of Random Normal DeviatesA-IV How Many Cycles Are Necessary to Detect Effects of Reasonable Size
Klappentext:
This new book is to compare the primary methods in full scale plant optimization applications and focuses on a simple but powerful technique which provides the experimental tools for full scale plant optimization, Evolutionary Optimization or EVOP.