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The subject of this Landolt-Börnstein volume is to present data on the magnetic properties of materials under pressure. Data for magnetic single metals, disordered and ordered alloys and compounds containing 3d elements as magnetic atoms are presented. This comprehensive set of data shows crystallographic data (space group, lattice constants) and magnetic properties such as magnetic moment, magnetic transition temperature, magnetization, magnetic structure, and others. Pressure derivatives or pressure coefficients of magnetic properties are given numerically for each material. In addition, pressure dependencies of magnetic properties and magnetic phase diagrams are also given graphically.   As well known, the data-compiling principle in the Landolt-Bӧrrnstein series is to choose the best reliable values from many available experimental data.

Magnetism. --- Materials. --- Magnetism, Magnetic Materials. --- Metallic Materials. --- Materials Science, general.

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In the present volume physical properties of ternary amorphous alloys are presented. For each of the 385 alloy systems the data, e.g., on density and structure, on thermal, mechanical, magnetic, electrical and optical properties, as well as on corrosion behavior, are provided in text, tables and figures. The data are published in three parts, the present 2nd part covering 122 alloy systems from B-Be-Fe to Co-W-Zr. Also available on www.springermaterials.com .

Physics. --- Materials. --- Engineering design. --- Physics, general. --- Metallic Materials. --- Engineering Design.

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This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming, while subsequent chapters describe traditional procedures/methods used in various sheet metal forming processes, and focus on the automation of those processes by means of AI techniques, such as KBS, ANN, GA, CBR, etc. Feature recognition and the manufacturability assessment of sheet metal parts, process planning, strip-layout design, selecting the type and size of die components, die modeling, and predicting die life are some of the most important aspects of sheet metal work. Traditionally, these activities are highly experience-based, tedious and time consuming. In response, researchers in several countries have applied various AI techniques to automate these activities, which are covered in this book. This book will be useful for engineers working in sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.

Metals. --- Manufactures. --- Artificial intelligence. --- Metallic Materials. --- Manufacturing, Machines, Tools, Processes. --- Artificial Intelligence.

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In this master thesis, a gradient composition material was developed and characterized using direct energy deposition additive manufacturing. The goal was to enhance the mechanical properties of a pinion located in the deployment mechanism of slats produced by Sonaca. 
The materials selection resulted in choosing martensitic and ferritic steels.

Powders from Pometon and Sandvik were characterized by means of an optical microscope, differential thermal analysis, scanning electron microscope, gas pycnometer and granulometry. Pometon powders were found to contain chromium oxides while Sandvik powders showed good features.

Deposits were printed with different laser parameters. The ferritic zones of the sample exhibited in-situ oxides that were avoided by increasing the incident energy. The martensitic zones presented no porosities nor cracks. The gradient structure showed up to have no added value due to a lack of corrosion resistance as well as a hardness similar to the martensitic zone. Due to the COVID-19 outbreak, characterization of deposits was not completed.

The reference part was characterized and its properties were compared to those of the deposits. The reference part had a better surface hardness but a significantly lower corrosion resistance. Additional characterization means are required to draw conclusions on the interest of deposits compared to the currently used material and surface treatments.

Additive manufacturing, metallic materials, cladding, martensite, ferrite, hardness --- Ingénierie, informatique & technologie > Science des matériaux & ingénierie

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This book summarizes the advanced manufacturing technology of original innovations in hot stamping of lightweight car body. A detailed description of the technical system and basic knowledge of sheet metal forming is given, which helps readers quickly understand the relevant knowledge in the field. Emphasis has been placed on the independently developed hot stamping process and equipment, which help describe the theoretical and experimental research on key problems involving stress field, thermal field and phase transformation field in hot stamping process. Also, a description of the formability at elevated temperature and the numerical simulation algorithms for high strength steel hot stamping is given in combination with the experiments. Finally, the book presents some application cases of hot stamping technology such as the lightweight car body design using hot stamping components and gradient hardness components, and the cooling design of the stamping tool. This book is intended for researchers, engineers and graduate students in vehicle engineering, mechanical engineering, especially in the field of advanced manufacturing technology. The book also provides a useful reference for other new technology related temperature and phase transformation, such as aluminum-magnesium alloy hot stamping.

Manufactures. --- Materials science. --- Automotive engineering. --- Metals. --- Manufacturing, Machines, Tools, Processes. --- Characterization and Evaluation of Materials. --- Automotive Engineering. --- Metallic Materials.