Wang Jun - Böcker

Phthalonitrile Resins and Composites: Properties and Applications summarizes the latest research on these polymers, providing information that enables materials scientists and engineers to deploy these polymers in the real world. The book gives details on synthesis and preparation techniques for key phthalonitrile monomers. All curing techniques are discussed, along with blends and copolymers of phthalonitrile with other polymeric materials, such as epoxy, benzoxazine and bismaleimide. Fiber and particle based phthalonitrile micro and nanocomposites are also discussed, along with their potential applications in lightweight automobiles, ships, oil rigs, aircraft, wind blades, high temperature bearings, valves, battery and electronic casings, fire resistant textiles, and more.

Introduces the subject of phthalonitrile polymers and their composites Provides precise information on the synthesis, preparation and curing techniques for phthalonitrile polymers Discusses developments in key application areas that are intended to facilitate and stimulate real world applications of these materials

Over the past few years, there has been a surge of research activities on artificial neural networks. Although the thrust originally came from computer scientists and electrical engineers, neural network research has recently attracted researchers in the fields of operations research, operations management and industrial engineering.Despite the huge volume of recent publications devoted to neural network research, there is no single monograph addressing the potential roles of artificial neural networks for design and manufacturing.The focus of this book is on the applications of neural network concepts and techniques to design and manufacturing. This book reviews the state-of-the-art of the research activities, highlights the recent advances in research and development, and discusses the potential directions and future trends along this stream of research.The potential readers of this book will include, but are not limited to, beginners, professionals and practitioners in industries who are applying neural networks to design and manufacturing.The topics include conceptual design, group technology, process planning and scheduling, process monitoring and others.