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Innovation and Sustainable Manufacturing: Research and Development addresses the manufacturing sustainability challenge from different points of view, drawing on research from different disciplines to shed light on the latest green technologies, green product design methods, and materials. Addressing the needs of practitioners as well as academics, this book examines a range of important themes such as environmental impacts and how to assess them, how to set boundary conditions to include or exclude downstream supply chains, how to improve sustainability without sacrificing productivity, the cost benefits of sustainability, and how to trace impacts in manufacturing. By providing a thorough review of global research in this field, Innovation and Sustainable Manufacturing acts as an ideal entry point into this discipline for researchers, and a guide to the latest developments for forward-thinking practitioners.

Nanocomposite Manufacturing Technologies provides the latest research in innovative manufacturing methods to produce nanocomposite materials for a range of applications. Nanocomposite material research has advanced rapidly in the past decade, revealing important insights into the nature of fiber or particle reinforcements on a nanoscale, unique properties, and specific new-generation uses. Emerging techniques such as additive manufacturing, friction stir processing, and rapid prototyping are opening a new era for nanocomposite manufacturing, and this comes with certain challenges. This book collates the most important of related research findings into a single volume and presents them alongside the latest advances in manufacturing technology to provide a coherent resource for students, researchers, and industrial R&D staff to navigate this field. Detailed descriptions of nanocomposite manufacturing processes help readers to understand the differences between them and to choose which process or combination of processes will lead to the material that solves a specific design challenge and advances product development.

Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention.