This book elucidates the fundamental thermomechanical behaviour inherent in the 3D printing process within a laser-based powder bed fusion (L-PBF) system. It presents foundational concepts and provides in-depth derivations of the governing equations. The analysis encompasses arbitrary anisotropic linear viscoelastic materials, accounting for thermal effects. The authors leverage the theory of axially moving materials, a framework previously employed in the analysis of production processes within the process industry. They introduce a coordinate frame that moves in tandem with the printing laser, adopting an Eulerian perspective towards the in-motion solid. Designed for graduate students and researchers, this book is poised to foster a profound comprehension and spur innovative technological advancements in the realm of additive manufacturing.
Laser-Based Additive Manufacturing Explore laser-based additive manufacturing processes via multi-scale modeling and computer simulation In Laser-Based Additive Manufacturing: Modeling, Simulation, and Experiments, a distinguished team of researchers delivers an incisive framework for understanding materials processing using laser-based additive manufacturing (LAM). The book describes the use of computational modeling and simulation to explore and describe the LAM technique, to improve the compositional, phase, and microstructural evolution of the material, and to enhance the mechanical, chemical, and functional properties of the manufactured components. The accomplished authors combine a comprehensive overview of multi-scale modeling and simulation with experimental and practical observations, offering a systematic review of laser-material interactions in advanced LAM processes. They also describe the real-world applications of LAM, including component processing and surface functionalization. In addition to explorations of residual stresses, three-dimensional defects, and surface physical texture in LAM, readers will also find: A thorough introduction to additive manufacturing (AM), including the advantages of AM over conventional manufacturing and the challenges involved with using the technology A comprehensive exploration of computation materials science, including length- and time-scales in materials modeling and the current state of computational modeling in LAM Practical discussions of laser-material interaction in LAM, including the conversion of light energy to heat, modes of heat dissipation, and the dynamics of the melt-pool In-depth examinations of the microstructural and mechanical aspects of LAM integrated with modeling Perfect for materials scientists, mechanical engineers, and physicists, Laser-Based Additive Manufacturing: Modeling, Simulation, and Experiments is perfect for anyone seeking an insightful treatment of this cutting-edge technology in the areas of alloys, ceramics, and composites.
This edited book is a compilation of scholarly articles on the latest developments in the field of additive manufacturing, discussing nature-inspired and artificial intelligence–aided additive manufactured processes for different materials including biomanufacturing, and their applications, as well as various methods to enhance the characteristics of the materials produced, the efficiency of the manufacturing process itself, as well as optimal ways to develop a product in minimum time. The book explores the advancements in additive manufacturing from prefabrication stage to final product, with real-time defect detection, control, and process efficiency improvement covered. This book will be a great resource for engineers, researchers, and academics involved in this revolutionary and unique field of manufacturing. - Discusses modeling of additive manufacturing processes by artificial intelligence - Looks at the optimization of designs, technologies, and material fabrication and the use of simulation in additive manufacturing - Includes case studies and real-world industrial problems and solutions
The text covers four important areas: digital manufacturing, modern manufacturing processes, modeling and simulation in smart industry, and nanotechnology. It further presents mathematical models to represent physical phenomena and applies modern computing methods and simulations in analyzing the same. The text covers key concepts such as abrasive flow machining (AFM), abrasive water jet (AWJ) machining, and hybrid machining for micro/nanomanufacturing. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in fields including mechanical engineering, aerospace engineering, manufacturing engineering, and production engineering. Features Discusses sustainable development aspects of additive manufacturing in industry 4.0 Studies electrochemical machining processes for micro-machining Presents experimental Investigation of friction factor and heat transfer rate in the laminar regime Examines the mechanical and microstructural characterization of titanium chips using large strain machining Covers hybrid approaches like electrochemical machining and magnetic abrasive flow machining The book emphasizes linking the computer interface with the digital manufacturing process and their demonstration using commercially available software like Solid-Edge, ProE, and CATIA. It further discusses important aspects of digital manufacturing, advanced composites, artificial intelligence, and modern manufacturing processes.
Additive Manufacturing of Biopolymers: Materials, Printing Techniques, and Applications describes various biopolymers that are currently used in additive manufacturing technologies and identifies the challenges/limitations in the materials and printing processes. The book provides basic knowledge and advanced details about 3D printing techniques and the applicable biopolymers as well as the latest updates on materials and techniques for 3D printing of biopolymers. Each chapter dedicates a section to future trends and perspectives in additive manufacturing of biopolymers from the use of biopolymers and new techniques point-of-view. - Provides an overview of biopolymer materials in terms of physicochemical properties that can be applied for the additive manufacturing process - Gives a comprehensive overview of applicable 3D printing techniques for biopolymers and their benefits and challenges - Explains in-depth chemical and physical properties of fabricated products for various applications - Offers a future vision in the development of both material and printing techniques in regard to biopolymers as well as new aspects in modeling and artificial intelligence issues
There has been a great deal of progress in additive manufacturing (AM) during the past two decades and recent developments have been highlighted by many researchers. However, until now, there has been a limit to what is available for beginners in a step-by-step format, showcasing the different commercial AM technologies for field application. This book helps fill that gap. Additive Manufacturing: Applications and Innovations presents case studies of commonly used AM technologies with basic numerical problems for better understanding. It also includes hybrid processes and 4D printing applications, which currently are not offered in other AM books. Features Offers solved and unsolved problems in additive manufacturing Provides an understanding for additive manufacturing per international standards Includes case studies for better understanding of the individual processes Presents a review of specific technology highlights Introduces future research directions, mainly in 4D printing applications
Employing a practical, "learn by doing" approach, this first-rate text fosters the development of the skills beyond the pure mathematics needed to set up and manipulate mathematical models. The author draws on a diversity of fields — including science, engineering, and operations research — to provide over 100 reality-based examples. Students learn from the examples by applying mathematical methods to formulate, analyze, and criticize models. Extensive documentation, consisting of over 150 references, supplements the models, encouraging further research on models of particular interest. The lively and accessible text requires only minimal scientific background. Designed for senior college or beginning graduate-level students, it assumes only elementary calculus and basic probability theory for the first part, and ordinary differential equations and continuous probability for the second section. All problems require students to study and create models, encouraging their active participation rather than a mechanical approach. Beyond the classroom, this volume will prove interesting and rewarding to anyone concerned with the development of mathematical models or the application of modeling to problem solving in a wide array of applications.
Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. Focuses on recent research in mathematics applications for Industry 4.0 Provides insights on international and transnational scales Identifies mathematics knowledge gaps for Industry 4.0 Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research
This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.
This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.
