Materials Characterisation IV Computational Methods and Experiments 1st Edition by A. A. Mammoli, C. A. Brebbia – Ebook PDF Instant Download/Delivery. 1845641892, 978-1845641894
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Product details:
ISBN 10: 1845641892
ISBN 13: 978-1845641894
Author: A. A. Mammoli, C. A. Brebbia
Contains the proceedings of the Fourth International Conference on Computational Methods in Materials Characterisation, held in tHE New Forest, UK, June 17-19, 2009.
Until recently, engineering materials could be characterized successfully
using relatively simple testing procedures. As materials technology
advances, interest is growing in materials possessing complex meso-, micro- and nano-structures, which to a large extent determine their physical properties and behaviour. The purposes of materials modelling are many: optimization, investigation of failure, simulation of production processes, to name but a few. Modelling and characterisation are closely intertwined, increasingly so as the complexity of the material increases. Characterisation, in essence, is the connection between the abstract material model and the real-world behaviour of the material in question. Characterisation of complex materials therefore may require a combination of experimental techniques and computation.
The papers in the book cover the following topics: Advances in Composites; Ceramics and Advanced Materials; Alloys; Cements; Biomaterials; Thin Films and Coatings; Imaging and Image Analysis; Thermal Analysis; New Methods; Surface Chemistry; Nano Materials; Damage Mechanics; Fatigue and Fracture; Innovative Computational Techniques; Computational Models and Experiments, Mechanical Characterisation and Testing.
Materials Characterisation IV Computational Methods and Experiments 1st Table of contents:
Chapter 1: Introduction to Materials Characterisation
- Overview of Materials Characterisation Techniques
- Importance of Computational Methods
- Experimental Methods in Materials Science
- Integration of Computational and Experimental Approaches
Chapter 2: Computational Techniques in Materials Science
- Introduction to Computational Materials Science
- Quantum Mechanics in Materials Modelling
- Molecular Dynamics Simulations
- Finite Element Analysis for Materials
- Monte Carlo Simulations in Materials Characterisation
Chapter 3: Experimental Characterisation Methods
- Optical Microscopy Techniques
- Scanning Electron Microscopy (SEM)
- X-ray Diffraction (XRD)
- Atomic Force Microscopy (AFM)
- Spectroscopy Techniques for Material Analysis (FTIR, UV-Vis, etc.)
Chapter 4: Multi-Scale Modelling in Materials Science
- Atomistic to Macro-Scale Modelling
- Bridging Time and Length Scales
- Coupled Computational and Experimental Models
- Case Studies in Multi-Scale Modelling
Chapter 5: Surface and Interface Characterisation
- Surface Morphology and Topography Analysis
- Techniques for Investigating Interfaces
- Computational Modelling of Surface Properties
- Experimental Methods for Surface Characterisation
Chapter 6: Characterisation of Mechanical Properties
- Tensile and Compressive Testing
- Hardness Testing and Methods
- Computational Approaches for Mechanical Property Prediction
- Applications in Material Selection and Design
Chapter 7: Thermal and Electrical Properties
- Thermal Conductivity and Diffusivity Measurements
- Electrical Conductivity Characterisation
- Modelling Thermal and Electrical Behaviors
- Hybrid Experimental-Computational Studies
Chapter 8: Structural Integrity and Failure Analysis
- Fracture Mechanics and Fatigue Testing
- Computational Modelling of Structural Integrity
- Experimental Failure Analysis Techniques
- Case Studies of Failure in Materials
Chapter 9: Materials for Advanced Technologies
- Nanomaterials and Their Characterisation
- Smart Materials and Functional Coatings
- Computational and Experimental Challenges in Emerging Materials
- Case Studies in High-Performance Materials
Chapter 10: Advances in Characterisation and Computational Tools
- Cutting-Edge Technologies in Material Analysis
- Advances in Simulation Tools and Software
- Automation and High-Throughput Characterisation
- The Future of Computational and Experimental Techniques
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