Thermal and stress modeling of multi-material laser processing
By K. Dai, Leon L. Shaw. 2001
135 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/1ceab22351409f8ae32f0f85bb826f3e540e14eb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computational Mechanics
- Dimitrios Chantzis
- T. Mukherjee
- A. Wilson-Heid
- H. Wei
- J. Zuback
- Wei Zhang
- Konstantinos Salonitis
- J. Elmer
Citations in the corpus
- Mechanical properties of alloy Ti–6Al–4V and of stainless steel 316L processed by selective laser melting: Influence of out-of-equilibrium microstructures (2014, background): “Efforts put into modelling the build-up of internal stresses and the thermal history of SLM parts have shown that the materials CTE and thermal conductivity are likely to play a role.(5,6) The present section hence aims more particularly at comparing these thermophysical properties for both alloys i”
- Distortion minimization of laser‐processed components through control of laser scanning patterns (2002, unknown): “Effects of the laser fabrication sequence, laser scanning pattern and scanning rate on the temperature distribution, thermal transient stress, residual stress and distortion of the multimaterial component have been investigated (Dai and Shaw, 2001; Dai et al., 2000).”
- Additive manufacturing of metallic components – Process, structure and properties (2018, methodology): “Dental Ni-alloy & porcelain MMLD 2D, used ANSYS, bi-metallic deposition, higher stresses with Ni-alloy deposit [235] Waspaloy, IN718/IN 718 LADMD Used ANSYS [242] and ABAQUS [243], high tensile residual stress at substrate-layer interface, examined effect of deposition pattern on lowering residual s”
- Process parameter selection for selective laser melting of Ti6Al4V based on temperature distribution simulation and experimental sintering (2012, background): “[19–21] provided the finite element analysis of volume shrinkage during the process of laser densification, which led to two kinds of guidelines to determine the phase transition temperature of the powder.”
- Simulation of metallic powder bed additive manufacturing processes with the finite element method: A critical review (2017, background): “In other studies, the elements of every single layer are added simultaneously.(62,69) From a programming point of view, controlling the state of the elements and locally refining the mesh in each load step increase the level of difficulty in the preparation of the analysis.”