Composites in Biomedical Applications presents a comprehensive review of recent developments in composites and their use in biomedical applications. It features cutting-edge developments to encourage further advances in the field of composites research.
The book discusses advanced techniques for the development of composites and biopolymer-based composites. It highlights a totally new research theme in polymer-based composite materials and covers a broad range of different research fields, including polymer and natural fiber reinforcement used in the development of composites for biomedical applications. In addition, this book covers fatigue behavior, conceptual design in ergonomics design application, tissue regeneration or replacement, and skeletal bone repair of polymer composites in biomedical applications. It also discusses the latest developments in synthesis, preparation, and characterization of nano/microstructure-based materials in biomedical applications. The latest results in material evaluation for targeted applications are also presented and it highlights latest advances and future challenges in polymer composites for biomedical applications.
The book serves as a valuable reference guide for scholars interested in the synthesis of polymers and biopolymers and evaluation of nano/microstructure-based materials, as well as their biomedical applications. It also provides essential insights for graduate students and scientists pursuing research in the broad fields of composite materials, polymers, organic or inorganic hybrid materials, and nano-assembly.
Table of Contents
Part I: Introduction. 1. Why Process Control? 2. Definitions and Terminology. Part II: Modeling for Control. 3. Basic Concepts in Modeling. 4. Development of Models from Fundamental Laws. 5. Input-Output Models. 6. Models from Process Data. Part III: Process Analysis. 7. Stability. 8. Dynamic Performance. 9. Frequency Response. Part IV: Feedback Control. 10. Basic Elements of Feedback Control. 11. Stability Analysis of Closed-Loop Processes. 12. Feedback Control Design. Part V: Model-Based Control. 13. Model-Based Control. 14. Model Uncertainty and Robustness. 15. Model Predictive Control. Part VI: Multivariable Control. 16. Multivariable Systems. 17. Multivariable Systems. 18. Design of Multivariable Controllers. Part VII: Control in Modern Manufacturing. 19. Practical Control of Nonlinear Processes. 20. Process Optimization and Control. 21. Industrial Control Technology. 22. Role of Process Control in Modern Manufacturing. 23. Data Processing and Reconciliation. 24. Process Monitoring.
Jose A. Romagnoli holds the Cain Chair in Process Systems Engineering in the Department of Chemical Engineering and is the director of the Laboratory for Process Systems Engineering at Louisiana State University. He earned a PhD in chemical engineering from the University of Minnesota. Dr. Romagnoli has authored more than 300 international publications and was awarded the Centenary Medal of Australia for his contributions to chemical engineering. His research covers all aspects of process systems engineering, including data processing and reconciliation, modeling of complex systems, advanced model-based control, intelligent process monitoring and supervision, and plant-wide optimization.
Ahmet Palazoglu is a professor of chemical engineering and materials science at the University of California, Davis. He earned a PhD in chemical engineering from Rensselaer Polytechnic Institute. Dr. Palazoglu has authored more than 150 publications and has taught short courses to academic and industrial audiences on process monitoring applications. His research interests include process control, nonlinear dynamics, process monitoring, and statistical modeling.
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