Ram / Davim Modeling and Simulation in Industrial Engineering

1. Auflage 2018
ISBN: 978-3-319-60432-9
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 226 Seiten

Reihe: Engineering (R0)

This book describes the latest research developments in modeling and simulation in industrial engineering. Topics such as decision and performance analysis and industrial control systems are described. Case studies in industry and services as well as engineering economy and cost estimation are also covered.

Autoren/Hrsg.

Ram, Mangey

Davim, J. Paulo

Inhaltsverzeichnis

1;Preface;6
2;Acknowledgements;7
3;Contents;8
4;Editors and Contributors;10
5;1 Optimization of Forming Processes for Gelled Propellant Manufacturing;13
5.1;1 Introduction to the Gelled Propellant Manufacturing;13
5.1.1;1.1 Manufacturing of Nitrocellulose-Based Colloidal Propellants;15
5.1.2;1.2 Manufacturing Processes Associated with the Rheological Behaviour of Gelled Propellants;17
5.1.2.1;1.2.1 Batch Mixing of Nitrocellulose Gels;17
5.1.2.2;1.2.2 Ram Extrusion of Gelled Propellant Doughs;18
5.2;2 Process and Material Parameters for Propellant Production Controlling;20
5.2.1;2.1 Process Parameters to Control During the Propellant Production;20
5.2.1.1;2.1.1 Process Parameters in Batch Mixing;20
5.2.1.2;2.1.2 Process Parameters in Ram Extrusion;21
5.2.2;2.2 Material Parameters to Control During the Propellant Production;23
5.2.2.1;2.2.1 Rheological Parameters;23
5.2.2.2;2.2.2 Physical Parameters;26
5.3;3 Self-controlling Measuring Path for Propellant Production;27
5.4;4 Measuring Devices for Process and Material Parameters;28
5.5;5 Procedures and Registers for Propellant Production Controlling;30
5.6;6 Example of Industrial Application of This Production Control Methodology;32
5.7;7 Conclusions;39
5.8;References;39
6;2 Random Excitation Technique for Measurement of Acoustic Properties;41
6.1;1 Introduction;41
6.2;2 Acoustic Waves;42
6.2.1;2.1 Plane Waves;42
6.2.1.1;2.1.1 Waves in Absorptive Stationary Medium;47
6.3;3 Acoustic Waves;48
6.3.1;3.1 Set-up Selection;48
6.3.1.1;3.1.1 Sliding Microphone Probe Experiment (SME);48
6.3.1.2;3.1.2 Fixed Two Microphone Impedance Tube Experiment (FME);49
6.3.1.3;3.1.3 Transfer Matrix Method (TMM);50
6.3.1.4;3.1.4 Comparison;50
6.3.2;3.2 Theory;50
6.3.2.1;3.2.1 Spectral Density;51
6.3.2.2;3.2.2 Evaluation of Attenuation Constant;52
6.3.2.3;3.2.3 Normalized Impedance and Reflection Coefficient;54
6.4;4 Measurement (Microphones and Transducers);57
6.4.1;4.1 Sensitivity;58
6.4.2;4.2 Frequency Response;58
6.4.3;4.3 Dynamic Range;59
6.5;5 Pre-amplification;59
6.6;6 Analog to Digital Conversion;59
6.6.1;6.1 Flash ADC;60
6.6.2;6.2 Sigma-Delta ADC;60
6.6.3;6.3 Dual Slope ADC;61
6.6.4;6.4 Successive Approximation Converter;62
6.7;7 Analysis;62
6.8;8 Precautions;62
6.8.1;8.1 Deviation from Assumptions;63
6.8.2;8.2 Environmental Effects;64
6.8.3;8.3 Special Anomalies;64
6.8.4;8.4 Methods to Enhance Accuracy;66
6.9;References;67
7;3 Optimal Inspection Intervals for Multi-One-Shot Systems;68
7.1;1 Introduction;68
7.2;2 Inspection Schedule for Multi One-Shot Systems Under Limited Maintenance Resources;71
7.2.1;2.1 Inspection Schedule for Multi One-Shot Systems;71
7.2.2;2.2 Inspection Schedule Model of Multi One-Shot Systems;74
7.3;3 Optimization Method for Inspection Schedule of Multi One-Shot Systems;75
7.3.1;3.1 Simulation-Based Optimization Procedure with a Hybrid Genetic Algorithm;75
7.3.2;3.2 Hybrid Genetic Algorithm with Heuristic Method in Phase 1;79
7.3.3;3.3 Hybrid Genetic Algorithm with Heuristic Method in Phase 2;82
7.3.4;3.4 Heuristic Method in Phase 2;84
7.4;4 Numerical Examples;85
7.4.1;4.1 CASE 1: Different Target Interval Availability;86
7.4.2;4.2 CASE 2: Decreasing the Scale Parameters of the Failure Distribution of Type 1 Units;89
7.4.3;4.3 CASE 3: Increasing the Failure Thresholds of Type 2 Units;90
7.5;5 Conclusions;92
7.6;Acknowledgements;93
7.7;References;93
8;4 Industrial System Performance Under Multistate Failures with Standby Mode;95
8.1;1 Introduction;95
8.2;2 Problem Statement;96
8.3;3 Mathematical Formulation and Solution;97
8.4;4 Numerical Computations;103
8.4.1;4.1 Availability Analysis;103
8.4.2;4.2 Reliability Analysis;104
8.4.3;4.3 Mean Time to Failure (MTTF) Analysis;104
8.4.4;4.4 Sensitivity Analysis;106
8.4.4.1;4.4.1 Sensitivity of Reliability;106
8.4.4.2;4.4.2 MTTF Sensitivity;106
8.5;5 Conclusion;108
8.6;References;108
9;5 An Insight into the Coanda Flow Through Mathematical Modeling;111
9.1;1 Introduction;111
9.2;2 Problem Formulation;112
9.3;3 Mathematical Modeling;113
9.4;4 Solution Methodology;115
9.5;5 Results and Discussion;118
9.6;6 Conclusion;123
9.7;Acknowledgements;123
9.8;References;123
10;6 Preliminary CDF Assessment of an Innovative Propelled Wing with Enhanced Performances by Coanda Effect;125
10.1;1 Introduction;125
10.2;2 The New Propelled Wing Concept;128
10.3;3 Preliminary Model;131
10.4;4 Thrust and Lift Behavior;132
10.5;5 Numerical Activity;132
10.6;6 Results and Discussions;134
10.7;7 Conclusions;138
10.8;Acknowledgements;138
10.9;References;138
11;7 Stochastic Modeling in Industry and Management;141
11.1;1 Basics of Probability;141
11.2;2 Discrete Random Variables and Discrete Probability Distribution Functions;143
11.3;3 Moment and Probability Generating Function;145
11.4;4 Selected Standard Discrete Distribution Functions;146
11.4.1;4.1 Bernoulli Probability Distribution Function;146
11.4.2;4.2 Binomial Probability Distribution Function;147
11.4.3;4.3 Geometric Probability Distribution Function;147
11.4.4;4.4 Poisson Probability Distribution Function;148
11.5;5 Continuous Random Variables and Continuous Probability Distribution Functions;149
11.6;6 Selected Standard Continuous Distribution Functions;150
11.6.1;6.1 Uniform Probability Distribution Function;150
11.6.2;6.2 (Negative) Exponential Probability Distribution Function;150
11.7;7 Stochastic Processes;152
11.8;8 Generating Functions and Their Application in Solution of Difference Equations;159
11.9;9 Queueing Processes;160
11.9.1;9.1 Mechanism of a Queue;160
11.10;10 Certain Stochastic Models in Industry and Management;161
11.10.1;10.1 M/M/1 Queueing Model;161
11.10.2;10.2 A Multiserver Queueing System with Balking and Reneging;165
11.10.2.1;10.2.1 The Model;167
11.10.2.2;10.2.2 Analysis;167
11.10.3;10.3 A Stochastic Hiring Model;170
11.10.3.1;10.3.1 The Model;170
11.10.3.2;10.3.2 The Analysis of the First Stage (FS), Initial Processing;171
11.10.3.3;10.3.3 Number of Batches in the FS at a Departure of a Batch;180
11.10.4;10.4 A Queueing System with Delayed Feedback;183
11.10.4.1;10.4.1 The Model;184
11.10.4.2;10.4.2 Analysis;185
11.11;References;187
12;8 A Study on Optimal Preventive Maintenance Policies for Cumulative Damage Models;189
12.1;1 Introduction;189
12.2;2 Preventive Maintenance Policies for a Cumulative Damage Model with a Continuous Distribution;190
12.2.1;2.1 Model and Assumptions;190
12.2.2;2.2 Analysis and Theorems;191
12.2.3;2.3 Remarks;193
12.3;3 Preventive Maintenance Policies for a Cumulative Damage Model with a Discrete Distribution;193
12.3.1;3.1 Model and Assumptions;193
12.3.2;3.2 Analysis and Theorems;194
12.3.3;3.3 Remarks;196
12.4;4 Concluding Remarks;197
12.5;References;197
13;9 Elevator System Analysis in Deliberation of Dependability, Cost Under Coverage, and Copula Approaches;199
13.1;1 Introduction;199
13.2;2 Problem Descriptions;201
13.3;3 Assumptions and Nomenclature;204
13.4;4 Formulation of the Model;205
13.5;5 Solution of the Model;206
13.6;6 State Transition Probability;207
13.7;7 Probability of the System in Upstate and Downstate;209
13.8;8 Particular Cases and Numerical Examples;209
13.8.1;8.1 Availability Analysis;209
13.8.2;8.2 Reliability Analysis;215
13.8.3;8.3 Expected Profit;215
13.9;9 Results Interpretation;217
13.10;10 Conclusion;222
13.11;References;222
14;Index;224