Wear of Polymers and Composites

Informationen zum Autor Ahmed Abdelbary is a Chief Engineering and tribology consultant working for the Egyptian Government. He holds a B.Sc. from the Military Technical College MTC in Cairo, and received his MSc and Ph.D. from Alexandria University. He is a full member of the Egyptian Society of Tribology EGTRIB and Egypt Syndicate for Engineers. His research aims to provide a better understanding of the fatigue wear mechanisms in polymers and other materials, and his areas of technical expertise extend to design and manufacture of many mechanical and tribometer systems. He has authored and edited multiple books, chapters, and several research papers with reputable publishers including Elsevier. In the field of tribology, the wear behaviour of polymers and composite materials is considered a highly non-linear phenomenon. Wear of Polymers and Composites introduces fundamentals of polymers and composites tribology. The book suggests a new approach to explore the effect of applied load and surface defects on the fatigue wear behaviour of polymers, using a new tribometer and thorough experiments. It discusses effects of surface cracks, under different static and cyclic loading parameters on wear, and presents an intelligent algorithm, in the form of a neural network, to map the relationship between wear rate and relevant factors. Using the aforementioned method leads to more accurate and cost effective prediction of surface fatigue wear rates, under different service conditions. The first three chapters of the book introduce polymers and composite materials tribology, followed by three chapters that cover testing in wear, applied load and contact pressure and surface defects. The remaining chapter moves on to predicting wear of polymers, and concludes by discussing questions and problems. Wear, friction and lubrication of polymers; Interaction of polymers sliding mechanics; Sliding wear of composite materials; Methodology of testing in wear; Effect of applied load and contact pressure; Influence of surface defects on wear of polymers; Prediction of polymers wear using artificial neural network model; Questions and problems. ...

Autorentext

Dr. Ahmed Abdelbary holds a B.Sc. in Mechanical Engineering from the Military Technical College in Cairo, Egypt, M.Sc. and Ph.D. degrees from Alexandria University, Egypt. He has an academic research experience in studying wear of polymers since 1999. He is a full member of the Egyptian Society of Tribology EGTRIB. His areas of technical expertise extend to design and manufacture of multiple mechanical systems. He has published several papers on tribology of polymers.

Klappentext

In the field of tribology, the wear behaviour of polymers and composite materials is considered a highly non-linear phenomenon. Wear of Polymers and Composites introduces fundamentals of polymers and composites tribology. The book suggests a new approach to explore the effect of applied load and surface defects on the fatigue wear behaviour of polymers, using a new tribometer and thorough experiments. It discusses effects of surface cracks, under different static and cyclic loading parameters on wear, and presents an intelligent algorithm, in the form of a neural network, to map the relationship between wear rate and relevant factors. Using the aforementioned method leads to more accurate and cost effective prediction of surface fatigue wear rates, under different service conditions. The first three chapters of the book introduce polymers and composite materials tribology, followed by three chapters that cover testing in wear, applied load and contact pressure and surface defects. The remaining chapter moves on to predicting wear of polymers, and concludes by discussing questions and problems.

Inhalt

Wear, friction and lubrication of polymers; Interaction of polymers sliding mechanics; Sliding wear of composite materials; Methodology of testing in wear; Effect of applied load and contact pressure; Influence of surface defects on wear of polymers; Prediction of polymers wear using artificial neural network model; Questions and problems.