International Congress on Applications of Lasers &Amp; Electro-Optics 1993
DOI: 10.2351/1.5058574
|View full text |Cite
|
Sign up to set email alerts
|

Cross-section modelling laser cladding

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2000
2000
2024
2024

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 2 publications
0
5
0
Order By: Relevance
“…Given that the underlying parametric analysis does not normally consider the dependence of the material deposition rate and the shape and dimensions of the transverse cross‐section of individual material tracks with the particular physical, optical and thermal properties of the feedstock material nor with the particular characteristics of the LPD system, these process maps have to be built specifically for each case. To overcome this limitation and gain a better understanding of the process, several researchers have developed models of the LPD process (Hoadley et al , 1990; Hoadley and Rappaz, 1992; Lemoine et al , 1993; Picasso et al , 1994b; Frenk et al , 1997; Toyserkani et al , 2003; Pinkerton and Li, 2004b; Han et al , 2004; Fathi et al , 2006) that allow predicting characteristic geometric features of the laser powder deposited material tracks in terms of the processing conditions and material properties. Many of these models are formulated using energy and mass balance considerations and some models also take into account various interactions between the powder particles, the laser beam and the molten pool, such as the attenuation of the laser beam power and the heating of the feedstock powder particles as these particles are blown through the laser beam.…”
Section: Materials Deposition Capabilities Of Laser Powder Depositionmentioning
confidence: 99%
“…Given that the underlying parametric analysis does not normally consider the dependence of the material deposition rate and the shape and dimensions of the transverse cross‐section of individual material tracks with the particular physical, optical and thermal properties of the feedstock material nor with the particular characteristics of the LPD system, these process maps have to be built specifically for each case. To overcome this limitation and gain a better understanding of the process, several researchers have developed models of the LPD process (Hoadley et al , 1990; Hoadley and Rappaz, 1992; Lemoine et al , 1993; Picasso et al , 1994b; Frenk et al , 1997; Toyserkani et al , 2003; Pinkerton and Li, 2004b; Han et al , 2004; Fathi et al , 2006) that allow predicting characteristic geometric features of the laser powder deposited material tracks in terms of the processing conditions and material properties. Many of these models are formulated using energy and mass balance considerations and some models also take into account various interactions between the powder particles, the laser beam and the molten pool, such as the attenuation of the laser beam power and the heating of the feedstock powder particles as these particles are blown through the laser beam.…”
Section: Materials Deposition Capabilities Of Laser Powder Depositionmentioning
confidence: 99%
“…Several approaches exist, based either on physico-computational models of the process or on empirical equations derived from statistical analysis of experimental data. Modelling of laser cladding requires taking into consideration phenomena such as mass and heat transfer, fluid flow and phase transformations, leading to a complex set of coupled equations [6,7,8,9,10,11,12]. In general these physical models are useful to investigate the influence of the processing parameters on the characteristics of the clad, but solving these equations usually requires numerical techniques and considerable computation time.…”
Section: Introductionmentioning
confidence: 99%
“…In VOF model, the volume is partitioned into different cells, and the state of each cell is determined Individually [4]. In equation (6), Pp is the density of the powder material and the variable F expresses the fractional volume occupied by the fluid in that computational cell.…”
Section: Governing Equations Of Fluid Flow and Heat Transfermentioning
confidence: 99%
“…Particular advantages of this method are omnidirectional cladding, better protection from the ambient atmosphere, and relatively small HAZ value. Other advantages of the co-axial powder supply are the controlled heating of the powder before it enters melt pool and the higher powder efficiency [1][2][3][4]. There are approximately 12-14 variables which strongly influence the characteristics of the clad part.…”
Section: Introductionmentioning
confidence: 99%