Digital Manufacturing: The Industrialization of "Art to Part" 3D Additive Printing explains everything needed to understand how recent advances in materials science, manufacturing engineering and digital design have integrated to create exciting new capabilities. Sections discuss relevant fundamentals in mechanical engineering and materials science and complex and practical topics in additive manufacturing, such as part manufacturing, all in the context of the modern digital design environment. Being successful in today's "art to part" cyber-physical manufacturing age requires a strong grounding in science and engineering fundamentals as well as knowledge of the latest techniques, all of which readers will find here. Every chapter is developed by leading specialists and based on first-hand experiences, capturing the essential knowledge readers need to solve problems related to digital manufacturing. - Helps produce the "T-shaped" engineers needed in today's digital manufacturing age by providing carefully selected foundational information from a range of disciplines - Covers every step in the additive manufacturing process, from product design through inspection - Addresses business models and socioeconomic trends related to cyber physical manufacturing, along with technical aspects

The manufacturing industry will reap significant benefits from encouraging the development of digital manufacturing science and technology. Digital Manufacturing Science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital Manufacturing Science to solve practical engineering problems in modern manufacturing processes. Digital Manufacturing Science is aimed at advanced undergraduate and postgraduate students, academic researchers and researchers in the manufacturing industry. It allows readers to integrate the theories and technologies described with their own research works, and to propose new ideas and new methods to improve the theory and application of digital manufacturing science.

The world progresses toward Industry 4.0, and manufacturers are challenged to successfully navigate this unique digital journey. To some, digitalization is a golden opportunity; to others, it is a necessary evil. But to optimist and pessimist alike, there is a widespread puzzlement over the practical details of digitalization. To many manufacturers, digital transformation is a vague and confusing concept they nevertheless must grapple with in order to survive the Fourth Industrial Revolution. The proliferation of digital manufacturing technologies adds to the confusion, leaving many manufacturers perplexed and unprepared, with little real insight into how emerging technologies can help them sustain a competitive edge in their markets. This book effectively conveys Siemens's knowledge and experience through a concept called "Smart Digital Manufacturing," a stepwise approach to realizing the promise of the Fourth Industrial Revolution. The Smart Digital Manufacturing roadmap provides guidance and enables low-risk, high-reward adoption of new manufacturing software technologies through a series of tipping-point investment decisions that result in optimized manufacturing performance. The book provides readers with a clear understanding of what digital technology has to offer them, and how and when to invest in these essential components of tomorrow?s factories. René Wolf is Senior Vice President of Manufacturing Operations Management Software for Siemens Digital Industries Software, a business unit of the Siemens Digital Factory Division. Raffaello Lepratti is Vice President of Business Development and Marketing for Siemens Digital Industries Software.

This book contains contemporary discussions on technology, business models, and the adoption of digital manufacturing systems. The book's initial chapters cover technological details underpinning the digital manufacturing systems, for example, cyber-physical systems and digital twins. Next, the book discusses how organizations modify their business models using concepts such as servitization and platforms to leverage digital manufacturing. The latter chapters focus on how a country's unique economic and infrastructural context influences digital manufacturing adoption in terms of technology and business models and frameworks to evaluate readiness for digital manufacturing. With perspectives from different continents, the book appeals to academic researchers and industry alike.

This book covers the subject of digital manufacturing. It provides a practical guide for readers on using computer aided design (CAD), computer aided engineering (CAE) and computer aided manufacturing (CAM) and other computer assistive tools for the design of products, machines, processes and system integrations through the case studies of engineering projects. The book introduces a thorough theoretical foundation and discussion of the historical development, and enabling technologies of digital manufacturing. It also covers a broad range of computer aided tools for a variety of applications including: geometric modelling; assembly modelling; motion simulation; finite element analysis; manufacturing process simulation; machining programming; product data management; and, product lifecycle management. Practical Guide to Digital Manufacturing uses many real-world case studies to illustrate the discussed applications, making it easily readable for undergraduate and graduate students, as well as engineers with the needs of computer-aided design and manufacturing knowledge and skills.

Rapid digital transformation is forcing the manufacturing industry to drastically alter its current trajectory for future success. The remarkable convergence of digitalization and manufacturing is reshaping industries, ushering in an era known as Industry 5.0. This revolutionary transition has given birth to digital manufacturing and smart factories, heralding a new dawn in the way we produce goods. The amalgamation of artificial intelligence (AI), robotics, the internet of things (IoT), augmented reality (AR), virtual reality (VR), big data analytics, cloud computing, and additive manufacturing stands poised to unlock unprecedented avenues in the realm of production. Practitioners, researchers, dreamers, and pioneers all are beckoned to explore the uncharted territories of digital innovation in manufacturing. Emerging Technologies in Digital Manufacturing and Smart Factories spans domains from mechanical and electrical engineering to computer science, from industrial economics to business strategy, and this book addresses this diverse audience. The book embarks on a comprehensive voyage, unveiling the latest evolutions and nascent trends within digital manufacturing and smart factories. From inception to execution, from design optimization to predictive maintenance, every phase of the manufacturing lifecycle is scrutinized through the lens of cutting-edge technologies. Rather than relying exclusively on the theoretical realm, this book also ventures into the crucible of real-world application, offering practical insights drawn from varied industries, including automotive, aerospace, and pharmaceuticals.

This book draws a comprehensive approach to digital manufacturing through computer-aided design (CAD) and reverse engineering content complemented by basic CNC machining and computer-aided manufacturing (CAM), 3D printing, and additive manufacturing (AM) knowledge. The reader is exposed to a variety of subjects including the history, development, and future of digital manufacturing, a comprehensive look at 3D printing and AM, a comparative study between 3D printing and AM and CNC machining, and computer-aided engineering (CAE) along with 3D scanning. Applications of 3D printing and AM are presented as well as multiple special topics including design for 3D printing and AM (DfAM), costing, sustainability, environmental, safety, and health (EHS) issues. Contemporary subjects such as bio-printing, intellectual property (IP) and engineering ethics, virtual prototyping including augmented, virtual, and mixed reality (AR/VR/MR), and industrial Internet of Things (IIoT) are also covered. Each chapter comes with in-practice exercises and end-of-chapter questions, which can be used as home-works as well as hands-on or software-based laboratory activities. End-of-chapter questions are of three types mainly: review questions which can be answered by reviewing each chapter, research questions which need to be answered by conducting literature reviews and additional research, and discussion questions. In addition, some of the chapters include relevant problems or challenges which may require additional hands-on efforts. Most of the hands-on and practical content is driven by the authors’ previous experiences. The authors also encourage readers to help improve this book and its exercises by contacting them.

This book presents the latest advances in computational and parametric design engineering, as well as digital tools related to manufacturing. It covers design and manufacturing process such as CAD-based design/manufacturing, parametric design, algorithmic design and process automation, and several digital tools and applications.

Collaborative design has attracted much attention in the research community in recent years. With increasingly decentralized manufacturing systems and processes, more collaborative approaches and systems are needed to support distributed manufacturing operations. "Collaborative Design and Planning for Digital Manufacturing" presents a focused collection of quality chapters on the state-of-the-art research efforts in the area of collaborative design and planning, as well as their practical applications towards digital manufacturing. "Collaborative Design and Planning for Digital Manufacturing" provides both a broad-based review of the key areas of research in digital manufacturing, and an in-depth treatment of particular methodologies and systems, from collaborative design to distributed planning, monitoring and control. Recent development and innovations in this area provide a pool of focused research efforts, relevant to a wide readership from academic researchers to practicing engineers.

Digital Manufacturing Technology for Sustainable Anthropometric Apparel is a thorough and practical examination of the state-of-the-art in anthropometric apparel manufacturing technology. The scale of the textiles industry, in economic as well as environmental terms, is so significant that new technologies and techniques that deliver improvements are of great global interest. Consumer preferences and government regulations are causing apparel manufacturers to prioritize sustainable practices, and at a time of unprecedented technological evolution and competitive pressure, integrating these measures with other priorities is a key challenge.By combining the expertise of contributors from the worlds of technology change management and technical textiles engineering, this book provides a unique interdisciplinary resource for organizational as well as technical implementation. Newly developed Industry 4.0 technologies are addressed, along with the latest data collection and analysis methods. - Provides practical technical instructions for the implementation of new technologies for 3D body scanning, and anthropometric design and sizing - Explains the latest technical methods for the collection of anthropometric data and examines related ethical issues - Shows how to integrate anthropometric design methodologies into a full smart manufacturing system