دانلود کتاب چاپ سه بعدی سوپرآلیاژها با روش رسوب انرژی مستقیم لیزری

The convergence of additive manufacturing and nickel-based superalloys has catalyzed a paradigm shift in high-value component manufacturing, particularly for aerospace turbines, energy systems, critical maintenance and repair applications. Laser Direct Energy Deposition 3D Printing of Superalloys consolidates a decade of the authors’ translational research systematically addressing fundamental challenges in process modelling and optimization, microstructure control, and mechanical performance enhancement for industrial-scale deployment. This book begins with a comprehensive introduction to additive manufacturing technologies covering their fundamental principles, development, classifications, applications, and emerging trends (Chapter 1). Chapter 2 provides an overview of additively manufactured solution- and precipitationstrengthened superalloys and their applications, with a focus on their unique microstructural features and resulting anisotropic mechanical properties. Chapter 3 presents a physics-informed neural network methodology that incorporates heat transfer physics as constraints within the loss function, treating the thermal diffusion coefficient as a learnable parameter. This physics-guided hybrid methodology enables accurate 3D temperature field predictions for Inconel 718 multi-layer deposition, boasting superior interpretability and computational efficiency. Chapter 4 establishes mathematical correlations between deposition geometry, molten pool temperatures, and process parameters to develop quantitative optimization strategies for Z-axis lift height, laser power, and scanning speed—effectively addressing uneven deposition-layer thickness issues in Inconel 718. Chapter 5 develops comprehensive decision-making models, comprising a data-driven XGBoost model, a reverse inference model and a horizontal overlap step matching model, to enable efficient parameter determination in laser direct energy deposition. Chapter 6 introduces a novel gradient-laser-power deposition strategy that breaks coarse long-chain Laves phases, refines matrix grains, alleviates micro-segregation, and enhances mechanical properties of Inconel 718 thin walls. Chapter 7 further elucidates the influence of gradient-laser-power parameters on the thermal accumulation, cooling rates, macroscopic features, microstructural characteristics, and mechanical properties for the manufactured Inconel 718 thin walls. Chapter 8 examines post-heat-treatment microstructural evolution and mechanical performance of both constant-laser-power and gradient-laser-power deposited Inconel 718 thin walls, subjected to direct aging, solution treatment plus aging, or homogenization plus solution treatment plus aging. Chapter 9 introduces ultrasonic vibration-assisted deposition for microstructure control and mechanical performance enhancement of Inconel 718, leveraging on multi-physics simulations to reveal the role of ultrasound in melt pool flow and heat transfer. Chapter 10 systematically reviews cracking mechanisms, susceptibility metrics, and suppression…Chapter 11 explores columnar dendritic structures, phase constituents, and cracking mechanisms in laser direct energy deposition of Inconel 738LC—a difficult-to-weld superalloy with high Al/Ti content. Chapter 12 employs multiscale advanced characterization techniques to establish quantitative correlations between process parameters and liquation/solid-state cracking, providing guidelines for defect-minimization in Inconel 738LC deposition. Finally, Chapter 13 presents bimetallic layered heterostructures via alternating IN738 and IN718 deposition, designed to suppress cracking and enhance mechanical performance in laser direct energy deposition of difficult-to-weld superalloys. This book provides materials and manufacturing engineers with methods and techniques for implementing robust laser-directed energy deposition (L-DED) processes. It equips graduate students in these fields with a rigorous understanding of process-structure-property relationships through experimentally validated models, while offering academics cutting-edge methodologies to advance research paradigms. Complex concepts are elucidated with minimal prerequisites, ensuring accessibility without sacrificing technical depth. The authors would like to express sincere gratitude to all team members for their valuable contributions to this book. These include Dr. Ze Chai, former postdoctoral fellow, for his role in co-supervising postgraduate research projects; former PhD students Xiaoqiang Zhang, Luming Xu, and Bo Peng; and former master’s students Jibing Xie and Anqi Wang. Their dedication to cutting-edge research has been instrumental in bringing this book project to fruition. Additionally, the authors wish to extend their appreciation to the editors at CRC Press for their professional guidance throughout the book’s preparation process.