This reference describes advanced computer modeling and simulation procedures to predict material properties and component design including mechanical properties, microstructural evolution, and materials behavior and performance. The book illustrates the most effective modeling and simulation technologies relating to surface-engineered compounds, fastener design, quenching and tempering during heat treatment, and residual stresses and distortion during forging, casting, and heat treatment. With contributions from internationally recognized experts in the field, it enables researchers to enhance engineering processes and reduce production costs in materials and component development.

Insufficient knowledge, time limitations, and budget constraints often result in poor material selection and implementation, which can lead to uncertain performance and premature failure of mechanical and electro-mechanical products. Selection of Engineering Materials and Adhesives is a professional guide to choosing the most appropriate materials and adhesives for product development applications from the onset. This text emphasizes material properties and classifications, fabrication and processing considerations, performance objectives, and selection based on specific application requirements, such as frequency of use (duty cycle) and operating environment. Each chapter focuses on a particular material family, covering ferrous and non-ferrous metals, including steels, cast-iron, aluminum, and titanium, as well as plastics such as PVC, acrylics, and nylons. Unique to this book on material selection, the final chapter discusses critical aspects of adhesives, including cure methods and joint configurations. Selection of Engineering Materials and Adhesives presents materials that are most often used for selection processes and applications in product development. This book is an ideal text for senior level undergraduate or graduate courses in mechanical engineering and materials science as well as recent graduates or managers who are tasked with the daunting job of selecting a material for a new application or justifying a long-used material in a specific application. It embodies the author's own experience and lectures on this subject, taught at UCLA Extension, and provides students as well as practicing engineers the tools to systematically select the most appropriate materials and adhesives for their design work.

Insufficient knowledge, time limitations, and budget constraints often result in poor material selection and implementation, which can lead to uncertain performance and premature failure of mechanical and electro-mechanical products. Selection of Engineering Materials and Adhesives is a professional guide to choosing the most appropriate materials

This book offers an update on recent developments in modern engineering design. Different engineering disciplines, such as mechanical, materials, computer and process engineering, provide the foundation for the design and development of improved structures, materials and processes. The modern design cycle is characterized by the interaction between various disciplines and a strong shift to computer-based approaches where only a few experiments are conducted for verification purposes. A major driver for this development is the increased demand for cost reduction, which is also linked to environmental demands. In the transportation industry (e.g. automotive or aerospace), the demand for higher fuel efficiency is related to reduced operational costs and less environmental damage. One way to fulfil such requirements is lighter structures and/or improved processes for energy conversion. Another emerging area is the interaction of classical engineering with the health and medical sector.

Certainty exists only in idealized models. Viewed as the quantification of uncertainties, probabilitry and random processes play a significant role in modern engineering, particularly in areas such as structural dynamics. Unlike this book, however, few texts develop applied probability in the practical manner appropriate for engineers. Probability Models in Engineering and Science provides a comprehensive, self-contained introduction to applied probabilistic modeling. The first four chapters present basic concepts in probability and random variables, and while doing so, develop methods for static problems. The remaining chapters address dynamic problems, where time is a critical parameter in the randomness. Highlights of the presentation include numerous examples and illustrations and an engaging, human connection to the subject, achieved through short biographies of some of the key people in the field. End-of-chapter problems help solidify understanding and footnotes to the literature expand the discussions and introduce relevant journals and texts. This book builds the background today's engineers need to deal explicitly with the scatter observed in experimental data and with intricate dynamic behavior. Designed for undergraduate and graduate coursework as well as self-study, the text's coverage of theory, approximation methods, and numerical methods make it equally valuable to practitioners.

Bridging the gap between theory and application, this reference demonstrates the operational mechanisms, modeling, and simulation of equipment for the combustion and gasification of solid fuels. Solid Fuels Combustion and Gasification: Modeling, Simulation, and Equipment Operation clearly illustrates procedures to improve and optimize the de

Navigating through an extensive compilation of surface modification reactions and processes for specific tribological results, this reference compiles detailed studies, many not found in other texts, on various residual stresses, reaction processes and mechanisms, heat treatment methods, plasma-based techniques, laser impingement, nanometer scale surface modification, and more. Surface Modification and Mechanisms: Friction, Stress, and Reaction Engineering offers guidelines for the consideration and design of wear and frictional performance and provides a unique understanding of surface structural changes that occur during various engineering procedures.

Increasingly useful in materials research and development, molecular modeling is a method that combines computational chemistry techniques with graphics visualization for simulating and predicting the structure, chemical processes, and properties of materials. Molecular Modeling Techniques in Materials Science explores the impact of using molecular modeling for various simulations in industrial settings. It provides an overview of commonly used methods in atomistic simulation of a broad range of materials, including oxides, superconductors, semiconductors, zeolites, glass, and nanomaterials. The book presents information on how to handle different materials and how to choose an appropriate modeling method or combination of techniques to better predict material behavior and pinpoint effective solutions. Discussing the advantages and disadvantages of various approaches, the authors develop a framework for identifying objectives, defining design parameters, measuring accuracy/accounting for error, validating and assessing various data collected, supporting software needs, and other requirements for planning a modeling project. The book integrates the remarkable developments in computation, such as advanced graphics and faster, cheaper workstations and PCs with new advances in theoretical techniques and numerical algorithms. Molecular Modeling Techniques in Materials Science presents the background and tools for chemists and physicists to perform in-silico experiments to understand relationships between the properties of materials and the underlying atomic structure. These insights result in more accurate data for designing application-specific materials that withstand real process conditions, including hot temperatures and high pressures.

Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process. - Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies - Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis - Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material - Provides a case study for simultaneous materials selection and geometrical optimization processes

This book explores systems-based, co-design, introducing a “Decision-Based, Co-Design” (DBCD) approach for the co-design of materials, products, and processes. In recent years there have been significant advances in modeling and simulation of material behavior, from the smallest atomic scale to the macro scale. However, the uncertainties associated with these approaches and models across different scales need to be addressed to enable decision-making resulting in designs that are robust, that is, relatively insensitive to uncertainties. An approach that facilitates co-design is needed across material, product design and manufacturing processes. This book describes a cloud-based platform to support decisions in the design of engineered systems (CB-PDSIDES), which feature an architecture that promotes co-design through the servitization of decision-making, knowledge capture and use templates that allow previous solutions to be reused. Placing the platform in the cloud aids mass collaboration and open innovation. A valuable reference resource reference on all areas related to the design of materials, products and processes, the book appeals to material scientists, design engineers and all those involved in the emerging interdisciplinary field of integrated computational materials engineering (ICME).