Modeling and simulation in industrial engineering /

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...

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Bibliographic Details
Group Author: Ram, Mangey; Davim, J. Paulo
Published: Springer,
Publisher Address: Cham :
Publication Dates: [2018]
Literature type: Book
Language: English
Series: Management and Industrial Engineering,
Subjects:
Summary: 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.
Carrier Form: xiii, 217 pages) : illustrations (some color) ; 25 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9783319604312
3319604317
Index Number: T56
CLC: TB11
Call Number: TB11/M689-1
Contents: Preface; Acknowledgements; Contents; Editors and Contributors; 1 Optimization of Forming Processes for Gelled Propellant Manufacturing; 1 Introduction to the Gelled Propellant Manufacturing; 1.1 Manufacturing of Nitrocellulose-Based Colloidal Propellants; 1.2 Manufacturing Processes Associated with the Rheological Behaviour of Gelled Propellants; 1.2.1 Batch Mixing of Nitrocellulose Gels; 1.2.2 Ram Extrusion of Gelled Propellant Doughs; 2 Process and Material Parameters for Propellant Production Controlling; 2.1 Process Parameters to Control During the Propellant Production.
2.1.1 Process Parameters in Batch Mixing2.1.2 Process Parameters in Ram Extrusion; 2.2 Material Parameters to Control During the Propellant Production; 2.2.1 Rheological Parameters; 2.2.2 Physical Parameters; 3 Self-controlling Measuring Path for Propellant Production; 4 Measuring Devices for Process and Material Parameters; 5 Procedures and Registers for Propellant Production Controlling; 6 Example of Industrial Application of This Production Control Methodology; 7 Conclusions; References; 2 Random Excitation Technique for Measurement of Acoustic Properties; 1 Introduction; 2 Acoustic Waves
2.1 Plane Waves2.1.1 Waves in Absorptive Stationary Medium; 3 Acoustic Waves; 3.1 Set-up Selection; 3.1.1 Sliding Microphone Probe Experiment (SME); 3.1.2 Fixed Two Microphone Impedance Tube Experiment (FME); 3.1.3 Transfer Matrix Method (TMM); 3.1.4 Comparison; 3.2 Theory; 3.2.1 Spectral Density; 3.2.2 Evaluation of Attenuation Constant; 3.2.3 Normalized Impedance and Reflection Coefficient; 4 Measurement (Microphones and Transducers); 4.1 Sensitivity; 4.2 Frequency Response; 4.3 Dynamic Range; 5 Pre-amplification; 6 Analog to Digital Conversion; 6.1 Flash ADC; 6.2 Sigma-Delta ADC.
6.3 Dual Slope ADC6.4 Successive Approximation Converter; 7 Analysis; 8 Precautions; 8.1 Deviation from Assumptions; 8.2 Environmental Effects; 8.3 Special Anomalies; 8.4 Methods to Enhance Accuracy; References; 3 Optimal Inspection Intervals for Multi-One-Shot Systems; 1 Introduction; 2 Inspection Schedule for Multi One-Shot Systems Under Limited Maintenance Resources; 2.1 Inspection Schedule for Multi One-Shot Systems; 2.2 Inspection Schedule Model of Multi One-Shot Systems; 3 Optimization Method for Inspection Schedule of Multi One-Shot Systems.
3.1 Simulation-Based Optimization Procedure with a Hybrid Genetic Algorithm3.2 Hybrid Genetic Algorithm with Heuristic Method in Phase 1; 3.3 Hybrid Genetic Algorithm with Heuristic Method in Phase 2; 3.4 Heuristic Method in Phase 2; 4 Numerical Examples; 4.1 CASE 1: Different Target Interval Availability; 4.2 CASE 2: Decreasing the Scale Parameters of the Failure Distribution of Type 1 Units; 4.3 CASE 3: Increasing the Failure Thresholds of Type 2 Units; 5 Conclusions; Acknowledgements; References; 4 Industrial System Performance Under Multistate Failures with Standby Mode; 1 Introduction.