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Chemical engineering dynamics : an introduction to modelling and computer simulation / / John Ingham, [and five others]
| Chemical engineering dynamics : an introduction to modelling and computer simulation / / John Ingham, [and five others] |
| Autore | Ingham John, Dr. |
| Edizione | [3rd, completely rev. ed.] |
| Pubbl/distr/stampa | Weinheim, Germany : , : Wiley-VCH GmbH, , [2007] |
| Descrizione fisica | 1 online resource (643 p.) |
| Disciplina | 660.28155362 |
| Soggetto topico | Chemical engineering - Mathematical models |
| ISBN |
1-281-23930-5
9786611239305 3-527-61421-4 3-527-61422-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Chemical Engineering Dynamics; Contents; Preface; Acknowledgements; Nomenclature for Chapters 1-4; 1 Basic Concepts; 1.1 Modelling Fundamentals; 1.1.1 Chemical Engineering Modelling; 1.1.2 General Aspects of the Modelling Approach; 1.1.3 General Modelling Procedure; 1.2 Formulation of Dynamic Models; 1.2.1 Material Balance Equations; 1.2.2 Balancing Procedures; 1.2.2.1 Case A: Continuous Stirred-Tank Reactor; 1.2.2.2 Case B: Tubular Reactor; 1.2.2.3 Case C: Coffee Percolator; 1.2.3 Total Material Balances; 1.2.3.1 Case A: Tank Drainage; 1.2.4 Component Balances
1.2.4.1 Case A: Waste Holding Tank1.2.4.2 Case B: Extraction from a Solid by a Solvent; 1.2.5 Energy Balancing; 1.2.5.1 Case A: Continuous Heating in an Agitated Tank; 1.2.5.2 Case B: Heating in a Filling Tank; 1.2.5.3 Case C: Parallel Reaction in a Semi-Continuous Reactor with Large Temperature Changes; 1.2.6 Momentum Balances; 1.2.7 Dimensionless Model Equations; 1.2.7.1 Case A: Continuous Stirred-Tank Reactor (CSTR); 1.2.7.2 Case B: Gas-Liquid Mass Transfer to a Continuous Tank Reactor with Chemical Reaction; 1.3 Chemical Kinetics; 1.3.1 Rate of Chemical Reaction 1.3.2 Reaction Rate Constant1.3.3 Heat of Reaction; 1.3.4 Chemical Equilibrium and Temperature; 1.3.5 Yield, Conversion and Selectivity; 1.3.6 Microbial Growth Kinetics; 1.4 Mass Transfer Theory; 1.4.1 Stagewise and Differential Mass Transfer Contacting; 1.4.2 Phase Equilibria; 1.4.3 Interphase Mass Transfer; 2 Process Dynamics Fundamentals; 2.1 Signal and Process Dynamics; 2.1.1 Measurement and Process Response; 2.1.1.1 First-Order Response to an Input Step-Change Disturbance; 2.1.1.2 Case A: Concentration Response of a Continuous Flow, Stirred Tank 2.1.1.3 Case B: Concentration Response in a Continuous Stirred Tank with Chemical Reaction2.1.1.4 Case C: Response of a Temperature Measuring Element; 2.1.1.5 Case D: Measurement Lag for Concentration in a Batch Reactor; 2.1.2 Higher Order Responses; 2.1.2.1 Case A: Multiple Tanks in Series; 2.1.2.2 Case B: Response of a Second-Order Temperature Measuring Element; 2.1.3 Pure Time Delay; 2.1.4 Transfer Function Representation; 2.2 Time Constants; 2.2.1 Common Time Constants; 2.2.1.1 Flow Phenomena; 2.2.1.2 Diffusion-Dispersion; 2.2.1.3 Chemical Reaction; 2.2.1.4 Mass Transfer 2.2.1.5 Heat Transfer2.2.2 Application of Time Constants; 2.3 Fundamentals of Automatic Control; 2.3.1 Basic Feedback Control; 2.3.2 Types of Controller Action; 2.3.2.1 On/Off Control; 2.3.2.2 Proportional-Integral-Derivative (PID) Control; 2.3.2.3 Case A: Operation of a Proportional Temperature Controller; 2.3.3 Controller Tuning; 2.3.3.1 Trial and Error Method; 2.3.3.2 Ziegler-Nichols Open-Loop Method; 2.3.3.3 Cohen-Coon Controller Settings; 2.3.3.4 Ultimate Gain Method; 2.3.3.5 Time Integral Criteria; 2.3.4 Advanced Control Strategies; 2.3.4.1 Cascade Control; 2.3.4.2 Feedforward Control 2.3.4.3 Adaptive Control |
| Record Nr. | UNINA-9910144002903321 |
Ingham John, Dr.
|
||
| Weinheim, Germany : , : Wiley-VCH GmbH, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas
| Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006 |
| Descrizione fisica | 1 online resource (238 p.) |
| Disciplina | 620/.00420285 |
| Altri autori (Persone) |
BogleI. D. L (Ian David Lockhart)
ŽilinskasJ <1973-> (Julius) |
| Collana | Series on computers and operations research |
| Soggetto topico |
Computer-aided design
Mathematical optimization Control theory Chemical engineering - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-37325-7
9786611373252 981-277-295-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents ; Preface ; Hybrid Methods for Optimisation ; 1. Introduction ; 2. Hybrid Methods for Optimisation ; 3. Embedded Hybrid Methods ; 4. Sequential Hybrid Methods ; 5. Illustrative Case Study ; 6. Discussion ; References ; An MILP Model for Multi-class Data Classification ; 1. Introduction
2. Problem Statement and Mathematical Formulation 3. Testing Procedure ; 4. An Iterative Solution Algorithm ; 5. Computational Results ; 6. Conclusions ; References ; Implementation of Parallel Optimization Algorithms Using Generalized Branch and Bound Template ; 1. Introduction 2. General Branch and Bound Algorithm 3. BB Algorithm Template ; 4. Conclusions ; References ; Application of Stochastic Approximation in Technical Design ; 1. Introduction ; 2. Formulation of the Optimization Problem ; 3. Computer Modelling 4. Application of Order Statistic to Optimality Testing 5. Computer Modelling ; 6. Conclusion ; References ; Application of the Monte-Carlo Method to Stochastic Linear Programming ; 1. Introduction ; 2. Stochastic Differentiation and Monte-Carlo Estimators 3. Stochastic Procedure for Optimisation 4. Statistical Testing of the Optimality Hypothesis ; 5. Computer Study ; 6. Discussion and Conclusions ; References ; Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation ; 1. Introduction 2. The General Quadratic Case |
| Record Nr. | UNINA-9910450792503321 |
| Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas
| Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006 |
| Descrizione fisica | 1 online resource (238 p.) |
| Disciplina | 620/.00420285 |
| Altri autori (Persone) |
BogleI. D. L (Ian David Lockhart)
ŽilinskasJ <1973-> (Julius) |
| Collana | Series on computers and operations research |
| Soggetto topico |
Computer-aided design
Mathematical optimization Control theory Chemical engineering - Mathematical models |
| ISBN |
1-281-37325-7
9786611373252 981-277-295-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents ; Preface ; Hybrid Methods for Optimisation ; 1. Introduction ; 2. Hybrid Methods for Optimisation ; 3. Embedded Hybrid Methods ; 4. Sequential Hybrid Methods ; 5. Illustrative Case Study ; 6. Discussion ; References ; An MILP Model for Multi-class Data Classification ; 1. Introduction
2. Problem Statement and Mathematical Formulation 3. Testing Procedure ; 4. An Iterative Solution Algorithm ; 5. Computational Results ; 6. Conclusions ; References ; Implementation of Parallel Optimization Algorithms Using Generalized Branch and Bound Template ; 1. Introduction 2. General Branch and Bound Algorithm 3. BB Algorithm Template ; 4. Conclusions ; References ; Application of Stochastic Approximation in Technical Design ; 1. Introduction ; 2. Formulation of the Optimization Problem ; 3. Computer Modelling 4. Application of Order Statistic to Optimality Testing 5. Computer Modelling ; 6. Conclusion ; References ; Application of the Monte-Carlo Method to Stochastic Linear Programming ; 1. Introduction ; 2. Stochastic Differentiation and Monte-Carlo Estimators 3. Stochastic Procedure for Optimisation 4. Statistical Testing of the Optimality Hypothesis ; 5. Computer Study ; 6. Discussion and Conclusions ; References ; Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation ; 1. Introduction 2. The General Quadratic Case |
| Record Nr. | UNINA-9910784701703321 |
| Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas
| Computer aided methods in optimal design and operations [[electronic resource] /] / editors, I. D. L. Bogle, J. Žilinskas |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006 |
| Descrizione fisica | 1 online resource (238 p.) |
| Disciplina | 620/.00420285 |
| Altri autori (Persone) |
BogleI. D. L (Ian David Lockhart)
ŽilinskasJ <1973-> (Julius) |
| Collana | Series on computers and operations research |
| Soggetto topico |
Computer-aided design
Mathematical optimization Control theory Chemical engineering - Mathematical models |
| ISBN |
1-281-37325-7
9786611373252 981-277-295-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents ; Preface ; Hybrid Methods for Optimisation ; 1. Introduction ; 2. Hybrid Methods for Optimisation ; 3. Embedded Hybrid Methods ; 4. Sequential Hybrid Methods ; 5. Illustrative Case Study ; 6. Discussion ; References ; An MILP Model for Multi-class Data Classification ; 1. Introduction
2. Problem Statement and Mathematical Formulation 3. Testing Procedure ; 4. An Iterative Solution Algorithm ; 5. Computational Results ; 6. Conclusions ; References ; Implementation of Parallel Optimization Algorithms Using Generalized Branch and Bound Template ; 1. Introduction 2. General Branch and Bound Algorithm 3. BB Algorithm Template ; 4. Conclusions ; References ; Application of Stochastic Approximation in Technical Design ; 1. Introduction ; 2. Formulation of the Optimization Problem ; 3. Computer Modelling 4. Application of Order Statistic to Optimality Testing 5. Computer Modelling ; 6. Conclusion ; References ; Application of the Monte-Carlo Method to Stochastic Linear Programming ; 1. Introduction ; 2. Stochastic Differentiation and Monte-Carlo Estimators 3. Stochastic Procedure for Optimisation 4. Statistical Testing of the Optimality Hypothesis ; 5. Computer Study ; 6. Discussion and Conclusions ; References ; Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation ; 1. Introduction 2. The General Quadratic Case |
| Record Nr. | UNINA-9910823560203321 |
| Singapore ; ; Hackensack, NJ, : World Scientific Publishing, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache
| Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache |
| Autore | Iordache Octavian |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2009 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 621.3192 |
| Soggetto topico |
Chemical engineering - Mathematical models
Experimental design Printed circuits - Design and construction |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-02196-6
9786612021961 3-527-62402-3 3-527-62403-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Evolvable Designs of Experiments: Applications for Circuits; Contents; Preface; Abbreviations; Part One Introduction; 1 Printed Circuits; 1.1 Technology Presentation; 1.2 Inner-Layer Processing; 1.3 Materials Preparation; 1.4 Lamination; 1.5 Drilling; 1.6 Making the Hole Conductive; 1.7 Imaging; 1.8 Electroplating; 1.9 Copper Etching; 1.10 Solder Masking; 1.11 Surface Finishing; 1.12 Routing; 1.13 Testing and Inspection; 1.14 Assembling; 2 Problem Solving for Reliability and Quality; 2.1 Conventional Paradigms; 2.2 Complexity and Time Frames; 2.3 Quasilinearity, Circularity, and Closure
2.4 Advance of Reliability ParadigmsPart Two Evolvable Designs of Experiments (EDOE); 3 Polystochastic Models; 3.1 What Is PSM?; 3.2 Basic Notions for Categorical Frame; 3.3 Illustrative Examples of PSM and Categorical Frames; 3.3.1 Lumped Stochastic Chains; 3.3.2 Conditional Stochastic Chains; 4 First-Order Wave Equation; 4.1 Algebraic Frames for Time''T''and Space''Z''; 4.2 The First-Order Wave Equation; 4.3 ''Kinetic''Model: Walsh-Hadamard Matrices; 4.4 ''Convection''Model: Latin Squares; 4.4.1 GF(3) Solution; 4.4.2 GF(4) Solution; 4.5 Spectral Analysis: Correlation 5 Informational Analysis: EDOE Matrices5.1 Walsh-Hadamard Matrices and Latin Square Designs; 5.2 Classification Procedures: Informational Criteria; 5.3 Informational Entropy and Distances; 5.4 Adaptability in Classification; 5.5 Informational Results; 5.5.1 Proposition 1; 5.5.2 Proposition 2; 5.5.3 Proposition 3; 5.6 Relation with Thermodynamics; 5.7 Ranking, Discarding, and Replication of the Columns; 5.8 Lumping and Splitting Columns; 5.9 Juxtaposing and Cutting; 5.10 Tables of DOE Matrices; 6 EDOE Methodology; 6.1 Scientific and Engineering Methods; 6.2 Center Design and Hierarchy 6.3 Recursivity and Focusing6.4 Problem-Solving Framework for PCB Quality; 6.5 Forward and Backward Search; 6.6 Interactions: Dissociation-Integration; 6.7 EDOE Basic Steps; 6.7.1 Problem Statement; 6.7.2 Propose the Preliminary Problem-Solving Framework; 6.7.3 Select the DOE Matrices; 6.7.4 Run Center Design; 6.7.5 Analyze Results; 6.7.6 Run Multiple Forward and Backward Steps; 6.7.7 Perform Dissociation-Integration Experiments; 6.7.8 Establish the New Center Design; 6.7.9 Repeat the Testing Procedure from the New Center Design; 6.7.10 Run Simulations: Analyze the Solutions of the Problem 6.8 EDOE Frame and SKUP Schema6.9 Comparison of EDOE with other Methods; Part Three Case Studies; 7 Solder Wicking; 7.1 Illustrative Failure Analysis; 7.2 Illustrative EDOE Frame; 7.3 SKUP Schema for Solder Wicking; 8 Reliability Analysis; 8.1 EDOE for Reliability; 8.2 SKUP Schema for Reliability; 8.3 Reliability Management System: Main Elements; 8.4 Reliability Prediction Software; 8.5 Minicoupons; 8.6 Reliability Analysis; 8.7 IST Electrical Resistance Analysis; 9 Drilling; 9.1 Drilling Quality Framework; 9.2 Test Coupons; 9.3 Testing Small Plated Through Holes: SKUP Schema for Drilling 9.4 Reliability Tests |
| Record Nr. | UNINA-9910146108203321 |
|
Iordache Octavian
|
||
| Weinheim, : Wiley-VCH, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache
| Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache |
| Autore | Iordache Octavian |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2009 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 621.3192 |
| Soggetto topico |
Chemical engineering - Mathematical models
Experimental design Printed circuits - Design and construction |
| ISBN |
1-282-02196-6
9786612021961 3-527-62402-3 3-527-62403-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Evolvable Designs of Experiments: Applications for Circuits; Contents; Preface; Abbreviations; Part One Introduction; 1 Printed Circuits; 1.1 Technology Presentation; 1.2 Inner-Layer Processing; 1.3 Materials Preparation; 1.4 Lamination; 1.5 Drilling; 1.6 Making the Hole Conductive; 1.7 Imaging; 1.8 Electroplating; 1.9 Copper Etching; 1.10 Solder Masking; 1.11 Surface Finishing; 1.12 Routing; 1.13 Testing and Inspection; 1.14 Assembling; 2 Problem Solving for Reliability and Quality; 2.1 Conventional Paradigms; 2.2 Complexity and Time Frames; 2.3 Quasilinearity, Circularity, and Closure
2.4 Advance of Reliability ParadigmsPart Two Evolvable Designs of Experiments (EDOE); 3 Polystochastic Models; 3.1 What Is PSM?; 3.2 Basic Notions for Categorical Frame; 3.3 Illustrative Examples of PSM and Categorical Frames; 3.3.1 Lumped Stochastic Chains; 3.3.2 Conditional Stochastic Chains; 4 First-Order Wave Equation; 4.1 Algebraic Frames for Time''T''and Space''Z''; 4.2 The First-Order Wave Equation; 4.3 ''Kinetic''Model: Walsh-Hadamard Matrices; 4.4 ''Convection''Model: Latin Squares; 4.4.1 GF(3) Solution; 4.4.2 GF(4) Solution; 4.5 Spectral Analysis: Correlation 5 Informational Analysis: EDOE Matrices5.1 Walsh-Hadamard Matrices and Latin Square Designs; 5.2 Classification Procedures: Informational Criteria; 5.3 Informational Entropy and Distances; 5.4 Adaptability in Classification; 5.5 Informational Results; 5.5.1 Proposition 1; 5.5.2 Proposition 2; 5.5.3 Proposition 3; 5.6 Relation with Thermodynamics; 5.7 Ranking, Discarding, and Replication of the Columns; 5.8 Lumping and Splitting Columns; 5.9 Juxtaposing and Cutting; 5.10 Tables of DOE Matrices; 6 EDOE Methodology; 6.1 Scientific and Engineering Methods; 6.2 Center Design and Hierarchy 6.3 Recursivity and Focusing6.4 Problem-Solving Framework for PCB Quality; 6.5 Forward and Backward Search; 6.6 Interactions: Dissociation-Integration; 6.7 EDOE Basic Steps; 6.7.1 Problem Statement; 6.7.2 Propose the Preliminary Problem-Solving Framework; 6.7.3 Select the DOE Matrices; 6.7.4 Run Center Design; 6.7.5 Analyze Results; 6.7.6 Run Multiple Forward and Backward Steps; 6.7.7 Perform Dissociation-Integration Experiments; 6.7.8 Establish the New Center Design; 6.7.9 Repeat the Testing Procedure from the New Center Design; 6.7.10 Run Simulations: Analyze the Solutions of the Problem 6.8 EDOE Frame and SKUP Schema6.9 Comparison of EDOE with other Methods; Part Three Case Studies; 7 Solder Wicking; 7.1 Illustrative Failure Analysis; 7.2 Illustrative EDOE Frame; 7.3 SKUP Schema for Solder Wicking; 8 Reliability Analysis; 8.1 EDOE for Reliability; 8.2 SKUP Schema for Reliability; 8.3 Reliability Management System: Main Elements; 8.4 Reliability Prediction Software; 8.5 Minicoupons; 8.6 Reliability Analysis; 8.7 IST Electrical Resistance Analysis; 9 Drilling; 9.1 Drilling Quality Framework; 9.2 Test Coupons; 9.3 Testing Small Plated Through Holes: SKUP Schema for Drilling 9.4 Reliability Tests |
| Record Nr. | UNINA-9910830815403321 |
|
Iordache Octavian
|
||
| Weinheim, : Wiley-VCH, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache
| Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache |
| Autore | Iordache Octavian |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2009 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 621.3192 |
| Soggetto topico |
Chemical engineering - Mathematical models
Experimental design Printed circuits - Design and construction |
| ISBN |
1-282-02196-6
9786612021961 3-527-62402-3 3-527-62403-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Evolvable Designs of Experiments: Applications for Circuits; Contents; Preface; Abbreviations; Part One Introduction; 1 Printed Circuits; 1.1 Technology Presentation; 1.2 Inner-Layer Processing; 1.3 Materials Preparation; 1.4 Lamination; 1.5 Drilling; 1.6 Making the Hole Conductive; 1.7 Imaging; 1.8 Electroplating; 1.9 Copper Etching; 1.10 Solder Masking; 1.11 Surface Finishing; 1.12 Routing; 1.13 Testing and Inspection; 1.14 Assembling; 2 Problem Solving for Reliability and Quality; 2.1 Conventional Paradigms; 2.2 Complexity and Time Frames; 2.3 Quasilinearity, Circularity, and Closure
2.4 Advance of Reliability ParadigmsPart Two Evolvable Designs of Experiments (EDOE); 3 Polystochastic Models; 3.1 What Is PSM?; 3.2 Basic Notions for Categorical Frame; 3.3 Illustrative Examples of PSM and Categorical Frames; 3.3.1 Lumped Stochastic Chains; 3.3.2 Conditional Stochastic Chains; 4 First-Order Wave Equation; 4.1 Algebraic Frames for Time''T''and Space''Z''; 4.2 The First-Order Wave Equation; 4.3 ''Kinetic''Model: Walsh-Hadamard Matrices; 4.4 ''Convection''Model: Latin Squares; 4.4.1 GF(3) Solution; 4.4.2 GF(4) Solution; 4.5 Spectral Analysis: Correlation 5 Informational Analysis: EDOE Matrices5.1 Walsh-Hadamard Matrices and Latin Square Designs; 5.2 Classification Procedures: Informational Criteria; 5.3 Informational Entropy and Distances; 5.4 Adaptability in Classification; 5.5 Informational Results; 5.5.1 Proposition 1; 5.5.2 Proposition 2; 5.5.3 Proposition 3; 5.6 Relation with Thermodynamics; 5.7 Ranking, Discarding, and Replication of the Columns; 5.8 Lumping and Splitting Columns; 5.9 Juxtaposing and Cutting; 5.10 Tables of DOE Matrices; 6 EDOE Methodology; 6.1 Scientific and Engineering Methods; 6.2 Center Design and Hierarchy 6.3 Recursivity and Focusing6.4 Problem-Solving Framework for PCB Quality; 6.5 Forward and Backward Search; 6.6 Interactions: Dissociation-Integration; 6.7 EDOE Basic Steps; 6.7.1 Problem Statement; 6.7.2 Propose the Preliminary Problem-Solving Framework; 6.7.3 Select the DOE Matrices; 6.7.4 Run Center Design; 6.7.5 Analyze Results; 6.7.6 Run Multiple Forward and Backward Steps; 6.7.7 Perform Dissociation-Integration Experiments; 6.7.8 Establish the New Center Design; 6.7.9 Repeat the Testing Procedure from the New Center Design; 6.7.10 Run Simulations: Analyze the Solutions of the Problem 6.8 EDOE Frame and SKUP Schema6.9 Comparison of EDOE with other Methods; Part Three Case Studies; 7 Solder Wicking; 7.1 Illustrative Failure Analysis; 7.2 Illustrative EDOE Frame; 7.3 SKUP Schema for Solder Wicking; 8 Reliability Analysis; 8.1 EDOE for Reliability; 8.2 SKUP Schema for Reliability; 8.3 Reliability Management System: Main Elements; 8.4 Reliability Prediction Software; 8.5 Minicoupons; 8.6 Reliability Analysis; 8.7 IST Electrical Resistance Analysis; 9 Drilling; 9.1 Drilling Quality Framework; 9.2 Test Coupons; 9.3 Testing Small Plated Through Holes: SKUP Schema for Drilling 9.4 Reliability Tests |
| Record Nr. | UNINA-9910841339603321 |
|
Iordache Octavian
|
||
| Weinheim, : Wiley-VCH, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling and simulation in chemical engineering : project reports on process simulation / / Christo Boyadjiev, editor
| Modeling and simulation in chemical engineering : project reports on process simulation / / Christo Boyadjiev, editor |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (206 pages) |
| Disciplina | 660.015118 |
| Collana | Heat and Mass Transfer |
| Soggetto topico | Chemical engineering - Mathematical models |
| ISBN |
9783030876609
9783030876593 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522949303321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nonlinear and mixed-integer optimization [[electronic resource] ] : fundamentals and applications / / Christodoulos A. Floudas
| Nonlinear and mixed-integer optimization [[electronic resource] ] : fundamentals and applications / / Christodoulos A. Floudas |
| Autore | Floudas Christodoulos A |
| Pubbl/distr/stampa | New York, : Oxford University Press, c1995 |
| Descrizione fisica | 1 online resource (475 p.) |
| Disciplina | 660/.28/015193 |
| Collana | Topics in chemical engineering |
| Soggetto topico |
Chemical engineering - Mathematical models
Integer programming Mathematical optimization Nonlinear theories |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-19-756094-6
1-280-96564-9 9786610965649 0-19-535655-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; 1. Introduction; PART 1 FUNDAMENTALS OF CONVEX ANALYSIS AND NONLINEAR OPTIMIZATION; PART 2 FUNDAMENTALS OF MIXED-INTEGER OPTIMIZATION; PART 3 APPLICATIONS IN PROCESS SYNTHESIS; Bibliography; Index |
| Record Nr. | UNINA-9910451439403321 |
|
Floudas Christodoulos A
|
||
| New York, : Oxford University Press, c1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nonlinear and mixed-integer optimization [[electronic resource] ] : fundamentals and applications / / Christodoulos A. Floudas
| Nonlinear and mixed-integer optimization [[electronic resource] ] : fundamentals and applications / / Christodoulos A. Floudas |
| Autore | Floudas Christodoulos A |
| Pubbl/distr/stampa | New York, : Oxford University Press, c1995 |
| Descrizione fisica | 1 online resource (475 p.) |
| Disciplina | 660/.28/015193 |
| Collana | Topics in chemical engineering |
| Soggetto topico |
Chemical engineering - Mathematical models
Integer programming Mathematical optimization Nonlinear theories |
| ISBN |
0-19-756094-6
1-280-96564-9 9786610965649 0-19-535655-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; 1. Introduction; PART 1 FUNDAMENTALS OF CONVEX ANALYSIS AND NONLINEAR OPTIMIZATION; PART 2 FUNDAMENTALS OF MIXED-INTEGER OPTIMIZATION; PART 3 APPLICATIONS IN PROCESS SYNTHESIS; Bibliography; Index |
| Record Nr. | UNINA-9910784712303321 |
|
Floudas Christodoulos A
|
||
| New York, : Oxford University Press, c1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
