Mechanical Properties of Polycarbonate : Experiment and Modeling for Aeronautical and Aerospace Applications.
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| Online Access: |
Full Text (via ProQuest) |
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| Format: | eBook |
| Language: | English |
| Published: |
San Diego :
ISTE Press Limited - Elsevier Incorporated,
2019.
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| Subjects: |
Table of Contents:
- Front Cover; Mechanical Properties of Polycarbonate; Copyright Page; Contents; Preface; Introduction; I.1. Mechanical properties of polycarbonate; I.2. Processing of polycarbonate; I.3. Engineering applications of polycarbonate; I.4. Challenges in aeronautical and aerospace applications; I.5. Purpose and layout of this book; I.6. References; 1. Experimental Studies of Mechanical Properties of Polycarbonate; 1.1. Uniaxial compression tests at various strain rates; 1.2. Uniaxial tension tests at various strain rates; 1.3. Quasi-static uniaxial compression tests at various temperatures.
- 1.4. Conclusion1.5. References; 2. Constitutive Models of Polycarbonate; 2.1. Introduction to constitutive models for polycarbonate; 2.2. Damage-based elastic-viscoplastic model for polycarbonate; 2.3. Calibration of model parameters; 2.4. Numerical integration algorithm; 2.5. Implementation of the constitutive model in LS-DYNA; 2.6. Numerical examples; 2.7. Conclusion; 2.8. References; 3. Impact Simulation of Polycarbonates in Aeronautical and Aerospace Applications; 3.1. Simulation methodology and experimental verification; 3.2. Impact simulation in aeronautical and aerospace applications.
- 3.3. Conclusion3.4. References; 4. Integrated Simulation of Injection Molding Process and Mechanical Behavior; 4.1. Yield stress modeling from thermal history; 4.2. Setup of the Izod impact test; 4.3. Integrated simulation framework; 4.4. Integrated simulation of the injection molding process and Izod impact; 4.5. Conclusion; 4.6. References; 5. Process Optimization of the Injection Molding for High Mechanical Performance; 5.1. Integrated simulation framework of an astronaut's helmet visor; 5.2. BP neural network model; 5.3. Process optimization by the particle swarm optimization algorithm.
- 5.4. Conclusion5.5. References; Index.