Reprint

Laser Welding

Edited by
May 2020
260 pages
  • ISBN978-3-03928-861-8 (Paperback)
  • ISBN978-3-03928-862-5 (PDF)

This book is a reprint of the Special Issue Laser Welding that was published in

Chemistry & Materials Science
Engineering
Summary
Laser welding is a high-energy process used in a wide range of advanced materials to obtain micro- to macro-sized joints in both similar and dissimilar combinations. Moreover, this technique is widely used in several industries, such as automotive, aerospace, and medical industries, as well as in electrical devices. Although laser welding has been used for several decades, significant and exciting innovations often arise from both the process and/or advanced materials side.
Format
  • Paperback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
laser beam welding; buy-to-fly; L-joint; T-joint; Ti–6Al–4V; dissimilar joining; laser welding-brazing; finite element method; titanium; aluminium; laser welds; mechanical properties; low alloyed steel; dual phase steel; trip steel; laser beam welding; conduction regime; Ti-5Al-5V-5Mo-3Cr; laser offset welding; hybrid welding; microstructure; intermetallic layer; pulsed Nd:YAG laser beam welding; DP1000 steel; penetration; hardness; phase transformation; dissimilar welding; fiber laser; finite element analysis; laser welding; spatter; liquid metal; high-speed imaging; porosity control; laser stake welding; aluminum alloy T-joint; aided electric current; weld morphology; mechanical properties; Al/steel joints; laser keyhole welding; IMC layers; tensile properties; EBSD phase mapping; high temperature titanium alloy; laser welding; microstructure; mechanical properties; BTi-6431S; fiber laser welding; dissimilar material; stainless steel; microstructure; hardness; tensile strength; steel S700MC; hybrid welding; HLAW; laser beam; MAG; magnesium alloy thin sheet; fiber laser welding; microstructure; mechanical properties; H-shaped fusion zone; laser welding; keyhole; weld pool behavior; mass transfer; dissimilar metal; LKW; WW; prediction; accuracy; SKM; WPP; n/a