Buch, Englisch, 326 Seiten, Format (B × H): 152 mm x 229 mm
Prediction and Measurement of Shock, Impact, Friction, and Spark Sensitivity
Buch, Englisch, 326 Seiten, Format (B × H): 152 mm x 229 mm
ISBN: 978-0-443-49118-4
Verlag: Elsevier Science
Sensitivity of Energetic Materials: Prediction and Measurement of Shock, Impact, Friction, and Spark Sensitivity provides an in-depth exploration of the sensitivity of energetic materials, including how compounds such as explosives, propellants, and pyrotechnics respond to various external stimuli (sparks, shocks, impacts, and friction). Starting from foundational principles, the book systematically builds toward advanced experimental techniques and state-of-the-art computational models that predict material sensitivity and behavior. Key themes include the underlying science of sensitivity, experimental protocols, computational and machine learning models, and real-world case studies that address both established and emerging materials (including nitramines, polynitro arenes, and ionic liquids).
The book’s structure encompasses theoretical background, measurement techniques, predictive modeling, and practical applications. Its target audience includes academic researchers, postgraduate students, and industry professionals in chemistry, materials science, engineering, defense, aerospace, mining, and industrial safety. By bridging theory and practice, and addressing inconsistencies in testing and data management, the book fills a critical gap in safety and innovation.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: Fundamentals and Theoretical Background
1. Introduction to Sensitivity of Energetic Materials
2. Molecular and Structural Factors Influencing Sensitivity
3. Electric Spark Sensitivity (EES): Mechanisms and Significance
4. Shock Sensitivity: Principles and Measurement Techniques
5. Impact Sensitivity: Mechanisms and Testing Methods
6. Friction Sensitivity: Mechanisms and Testing Protocols
Part II: Measurement Techniques and Instrumentation
7. Instrumentation for Electric Spark Sensitivity Testing
8. Impact Sensitivity of Energetic Materials: Advancement of Experimental Testing, Powder Properties, and Implications for Chemical Design
Part III: Predictive Models and Computational Tools
9. Computational Methods for Predicting Electric Spark Sensitivity
10. Predictive Models for Shock Sensitivity
11. Impact and Friction Sensitivity Prediction: Challenges and Solutions
Part IV: Applications and Future Directions
12. Case Studies: Sensitivity of Nitramines, Polynitro Arenes, and Ionic Liquids
13. Machine Learning Analysis of Molecular Electronic Structure and Sensitivity in Energetic Compounds




