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Silberschmidt V: Mechanics of Materials

Mechanics of Materials

An Introduction to the Mechanics of Elastic and Plastic Deformation of Solids and Structural Materials

Woodhead Publishing Reviews: Mechanical Engineering Series

Technological progress in composite manufacturing has revolutionized industries such as aerospace, automotive, construction, and sports equipment. These materials boast a compelling combination of high strength-to-weight ratio, corrosion resistance, and design flexibility. Advanced Manufacturing and Joining Technologies for Composite Materials delves into pivotal advancements that have enhanced performance and cost-effectiveness. Automation and robotics have transformed manufacturing processes, with techniques like automated fiber placement and automated tape laying ensuring precise and consistent reinforcement fiber placement. This minimizes human error, improves repeatability, and expedites production. Material science breakthroughs have given rise to smart composites capable of sensing, responding, and adapting to environmental changes. These smart composites find applications in structural health monitoring, shape-shifting structures, and adaptive aerodynamics. The book covers topics not commonly addressed in other references, including automated composite manufacturing, out-of-autoclave curing, nanostructured composites, smart composites, recycling and sustainability, and hybrid composites. Additionally, it addresses the modeling and simulation of composite manufacturing processes and the joining of composite laminates for product development, offering an exciting exploration for readers and learners.

Advanced Manufacturing and Joining Technologies for Composite Materials

Expert reference on building surrogate models, optimization using them, prediction uncertainty associate with them, and their potential failure, with practical implementation in MATLAB Surrogate Modeling and Optimization explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions and helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and/or uncertainty quantification. The book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. The book is divided into 10 chapters. Each chapter contains about 10 examples and 20 exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. Sample topics discussed in Surrogate Modeling and Optimization include: <ul> <li>Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design space</li> <li>Criteria for constrained and unconstrained optimization and the most important optimization theories</li> <li>Various numerical algorithms for gradient-based optimization</li> <li>Gradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian information</li> <li>Detailed explanations and implementation on Kriging surrogate, often referred to as Gaussian Process, especially when samples include noise</li> <li>The combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracy</li> <li>Neural network models, focusing on training uncertainty and its effect on prediction uncertainty</li> <li>Efficient global optimization using either polynomial response surfaces or Kriging surrofates</li> </ul> Surrogate Modeling and Optimization is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply the surrogate model to solve their optimization problems.

Theories, Applications, and Limitations

Surrogate Modeling and Optimization

Advances in Biomedical Applications

Nanotheranostics

A Biography

Friction

Volume 1: Theoretical Fundaments of Digital SiPM Technologies and PET

Weak Light Detection in Functional Imaging

Metals and Alloys

The technology of ironmaking is central to the production of steel. Offering a comprehensive approach, Blast Furnace Ironmaking provides insight into and guidance for understanding the use of blast furnace processes in this complex field of metallurgy.· Discusses key topics in the ironmaking process and underlying principles.· Describes appropriate agglomeration technologies and explains why, how, and where these processes add value to the iron- and steelmaking industries.· Features material-specific case studies and addresses real-world problems and how to tackle them.· Examines various methodologies for effective operation of the blast furnace and the control of variables to achieve greater productivity and increasing fuel efficiency.Aimed at advanced students in metallurgical engineering, as well as process technologists and R&amp;D professionals, the book delivers best practices and future perspectives to assist in advancing technological innovations in the field of ferrous extraction.

Blast Furnace Ironmaking

Power, Conflict, and Possibilities

Atlas of Green Energy Transitions

3D Printing of Biomaterials is a multidisciplinary resource for researchers and students alike, providing an essential introduction to 3D printing and relevant materials, as well as materials processing, manufacturing techniques, characterizations, and biomedical and pharmaceutical applications. This book explores the significant impact 3D printing has in innovating biomaterials and the next generation of biomedical devices, from patient-matched devices and surgical models to tissue engineering, drug delivery, and on-demand manufacturing of metallic implants. A range of different biomaterials are covered, including metals, polymers, and ceramics are discussed. Finally, how 3D Printing technology is applied to solve clinical challenges is discussed in specific areas such as tissue engineering, load-bearing implants, or drug delivery. With the aid of learning objectives and study questions in each chapter, 3D Printing of Biomaterials helps students and professionals understand critical issues relating to 3D printing of biomaterials, enabling them to apply this knowledge and solve upcoming and long-standing medical challenges.

Mechanics of Materials

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