Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Processing of Polymer Matrix Composites
Polymer matrix composites are finding increasing number of applications due to their high weight-saving potential as well as unique characteristics, such as high strength-to-density ratio, fatigue resistance, high damping factor, and freedom from corrosion. While many textbooks are available on the mechanics of polymer matrix composites, few cover their processing. Processing of Polymer Matrix Composites fills this gap. The book focuses on the major manufacturing processes used for polymer matrix composites and describes process details, process parameters and their effects on properties and process-induced defects, and analytical and experimental methods used for understanding process conditions. The book describes fibers, thermosetting and thermoplastic polymers, and interface characteristics that are important from the standpoint of both design and processing. It also emphasizes the applications of process fundamentals for both continuous fiber and short fiber polymer matrix composites. In addition the book considers quality inspection methods, tooling, and manufacturing costs and environmental and safety issues.
Fiber-Reinforced Composites
The newly expanded and revised edition of Fiber-Reinforced Composites: Materials, Manufacturing, and Design presents the most up-to-date resource available on state-of-the-art composite materials. This book is unique in that it not only offers a current analysis of mechanics and properties, but also examines the latest advances in test metho
Composites Engineering Handbook
Offers information on the fundamental principles, processes, methods and procedures related to fibre-reinforced composites. The book presents a comparative view, and provides design properties of polymeric, metal, ceramic and cement matrix composites. It also gives current test methods, joining techniques and design methodologies.
Fiber-Reinforced Composites
Maintaining the interdisciplinary perspective of the first edition, this reference and text provides comprehensive discussions of all aspects of fiber-reinforced composites, including materials, mechanics, properties, test methods, manufacturing and design. Written from a conceptual point of view and emphasizing fundamentals, the second edition of Fiber Reinforced Composites offers updated and expanded sections including: fibers and matrix, including thermoplastic matrices; discontinuous fibers and laminated structures; static mechanical properties, fatigue properties and damage tolerance; resin flow, bag molding, filament winding and resin transfer molding; and environmental effects.
Materials, Design and Manufacturing for Lightweight Vehicles
Research into the manufacture of lightweight automobiles is driven by the need to reduce fuel consumption to preserve dwindling hydrocarbon resources without compromising other attributes such as safety, performance, recyclability and cost. Materials, design and manufacturing for lightweight vehicles will make it easier for engineers to not only learn about the materials being considered for lightweight automobiles, but also to compare their characteristics and properties. Part one discusses materials for lightweight automotive structures with chapters on advanced steels for lightweight automotive structures, aluminium alloys, magnesium alloys for lightweight powertrains and automotive struc...
Researching Education
This book provides the reader with an introduction to the world of educational research. A two-pronged approach is adopted: to help the reader understand the concepts and terminology widely used in educational research and a range of methodological issues; and to provide the reader with guidance on initiating and implementing research studies. In this highly accessible book, the authors consider the perspectives, concepts and techniques in common usage in the field of research, and the variety of approaches that may be taken in researching different subjects. A glossary is also provided covering the relevant terms and concepts referred to and used in current educational research.
Structural Adhesive Joints
This timely book on structural adhesives joints showcases all the pertinent topics and will be of immense value to scientists and engineers in many industries. Most structures are comprised of a number of individual parts or components which have to be connected to form a system with integral load transmission path. The structural adhesive bonding represents one of the most enabling technologies to fabricate most complex structural configurations involving advanced materials (e.g. composites) for load-bearing applications. Quite recently there has been a lot of activity in harnessing nanotechnology (use of nanomaterials) in ameliorating the existing or devising better performing structural adhesives. The 10 chapters by subject matter experts look at the following issues: Surface preparation for structural adhesive joints (SAJ) Use of nanoparticles in enhancing performance of SAJ Optimization of SAJ Durability aspects of SAJ Debonding of SAJ Fracture mechanics of SAJ Failure analysis of SAJ Damage behavior in functionally graded SAJ Impact, shock and vibration characteristics of composites for SAJ Delamination arrest methods in SAJ
Generalized Linear Models
This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.
Mathematics for Machine Learning
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
