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Material Modeling in Multiphysics Simulation

Material Modeling in Multiphysics Simulation

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Virtual prototyping techniques, generally based on numerical methods, are widely used in the process of designing an industrial product. In recent decades, the demand for strong improvements in terms of productivity, reliability, and cost reduction have been fundamental considerations in this form of design, often requiring more than one simultaneously occurring physical field (thermal, mechanical, electrical, metallurgical, etc.) to be taken into account. At present, a huge amount of commercial code and a huge number of new algorithms have been developed to perform multiphysics simulations; nevertheless, the availability of a suitable material model often presents a bottleneck in obtaining reliable results. This reprint brought together a series of recent scientific contributions addressing several topics in the field of the physical-based modeling of material behavior and manufacturing processes. The quality of scientific contributions in this reprint can aid scholars and scientists in their research activity.

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Keywords

  • additive manufacturing
  • aluminium
  • austenite decomposition kinetics
  • Automation
  • Casting
  • cavitation
  • CFD simulation
  • Computer simulation
  • Control
  • cooling process
  • data-driven modeling
  • DEFORM3D
  • density of free randomly moving (RM) electrons
  • density of states (DOS)
  • diffusion coefficient
  • drift mobility
  • dynamic material processes
  • evolving domains
  • extrusion
  • FE transient thermal model
  • finite element analysis
  • genetic algorithm symbolic regression
  • Hall effect
  • Hall mobility
  • high-pressure gas quenching
  • hybrid modeling
  • Inconel 718
  • induction heating
  • inverse heat transfer
  • Koistinen–Marburger
  • laser powder bed fusion
  • latent heat
  • low pressure carburizing
  • mathematical modeling
  • mathematical modelling
  • mean free path of electrons
  • metal-forming simulation
  • metallurgical length
  • Microstructure
  • microstructure transformations
  • modeling
  • multiphysics
  • n/a
  • neural networks
  • optimization
  • phase transformations
  • probability density function
  • Process
  • Properties
  • Pyrowear 53
  • resistivity of metals
  • sequence deep learning
  • simufact
  • simulation
  • solidification
  • steel
  • steel continuous casting process
  • structure refinement
  • temperature evolution
  • thin-walled structures
  • travelling slice
  • ultrasonic melt treatment
  • warpage
  • waveguide

Links

DOI: 10.3390/books978-3-7258-1086-4

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