Sensitivity of Energetic Materials

Prediction and Measurement of Shock, Impact, Friction, and Spark Sensitivity

Häftad, Engelska, 2026

2 809 kr

Kommande

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.

Provides a comprehensive, up-to-date resource that blends fundamental principles, testing protocols, and computational models for predicting energetic material sensitivity
Includes clear, stepwise testing protocols, troubleshooting guides, and systematic data presentation to facilitate cross-material comparison and practical applications
Explores real-world case studies that illustrate practical implementation and impact of sensitivity testing
Emphasizes safety, innovation, and future research opportunities by including contributions from international experts
Bridges theory and practice, offering illustrative diagrams and detailed workflows to support learning and application for researchers and professionals

Produktinformation

Utgivningsdatum2026-11-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor326
FörlagElsevier Science
ISBN9780443491184

Tillhör följande kategorier

Dr. Mohammad Hossein Keshavarz has been a lecturer and researcher at the Malek Ashtar University of Technology, Iran, since 1997. Between 1997 and 2008, he served as an Assistant Professor, Associate Professor, and Professor of Physical Chemistry at the university's Shahin Shahr campus. His main research interests involve the assessment of properties, performance, and toxicity of materials, with a particular focus on energetic materials—explosives, propellants, and pyrotechnics. He has substantial expertise in the prediction and experimental evaluation of the sensitivity of energetic materials to external stimuli, such as electric spark, shock, impact, and friction, as well as the development of empirical and computational models for material behavior. Dr. Keshavarz is also actively involved in safety analysis and the development of innovative handling and testing protocols for hazardous substances.

Part I: Fundamentals and Theoretical Background1. Introduction to Sensitivity of Energetic Materials2. Molecular and Structural Factors Influencing Sensitivity3. Electric Spark Sensitivity (EES): Mechanisms and Significance4. Shock Sensitivity: Principles and Measurement Techniques5. Impact Sensitivity: Mechanisms and Testing Methods6. Friction Sensitivity: Mechanisms and Testing ProtocolsPart II: Measurement Techniques and Instrumentation7. Instrumentation for Electric Spark Sensitivity Testing8. Impact Sensitivity of Energetic Materials: Advancement of Experimental Testing, Powder Properties, and Implications for Chemical DesignPart III: Predictive Models and Computational Tools9. Computational Methods for Predicting Electric Spark Sensitivity10. Predictive Models for Shock Sensitivity11. Impact and Friction Sensitivity Prediction: Challenges and SolutionsPart IV: Applications and Future Directions12. Case Studies: Sensitivity of Nitramines, Polynitro Arenes, and Ionic Liquids13. Machine Learning Analysis of Molecular Electronic Structure and Sensitivity in Energetic Compounds