Materials Science and Welding Technologies

<ul><li>Preface</li><li>Chapter 1: Functional and Special Materials</li><li>Transport Properties Study of ZnSb Compound Using BoltzTrap First-Principles</li><li>Strong Acousto-Plasmonic Coupling in Film-Coupled Nanoparticles Mediated by Surface Acoustic Waves</li><li>Theoretical Investigation of Optoelectronics Properties of Titanium Dichalcogenides Materials TiX₂ (X=S, Se, Te) Using Quantum Espresso</li><li>Chapter 2: Welding Technologies and Properties of Welded Connections</li><li>Determination of Mechanical Properties for Laser Welded Turbine Rotor Assemblies for Automotive Turbocharger Applications</li><li>Experiments on Gas-Metal-Arc Welding (MAG) with Combined Spin-Arc and Weaving Facilities, for Interdisciplinary Applications</li><li>Development of a Gas-Metal-Arc Welding Technology with Combined Spin-Arc and Weaving Facilities for Ship Building</li><li>Ultrasonic Welding Behaviour of Composited Achieved by Additive Manufacture</li><li>Capacitor Energy Storage Welding of Ni₆₃Cr₁₂Fe₄Si₈B₁₃ Amorphous Ribbons</li><li>Investigation of Hardfacing on Ultra-High Strength Steel Base Material</li><li>The Behaviour of Hybrid Aluminium-Steel Resistance Spot Welded Joints in Case of Dynamic Loading</li><li>Effect of TIG-Welding on the Structure and Mechanical Properties of Low-Cost Titanium Alloy Ti-2.8Al-5.1Mo-4.9Fe Welded Joints</li><li>Some Contributions to the Optimization of MIG Spot Welding of Aluminum Alloys</li><li>Research on the Reconditioning of Injection Moulds by LASER Welding</li><li>Welding Joint Made of Two Different Austenitic Materials</li><li>Application of Static Magnetic Field to Modify Heat and Mass Transfer during Welding of Shipbuilding Steel</li><li>High Cycle Fatigue Testing of Lap Shear RSW Joints from Martensitic MS1400 Steel Sheets</li><li>Development and Improvement of Numerical Models of Welded Joints with Multiple Defects</li><li>Comparative Analysis of the Quality of some Welded Joints Made in Maintenance Interventions in the Food Industry</li><li>Using Fundamental Parameters and Artificial Neural Network for Controlling the Laser Welding of Metals</li></ul>