Surface and Contact Mechanics Including Tribology XII 2015
DOI: 10.2495/secm150161
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of coating geometry: theory and experiment

Abstract: In this contribution we present a comparison between laser clad experiments and model predictions of the entire geometry of laser deposited multi-layered coatings. Recently we have shown that the recursive model describing the geometry of laser clad coatings combined with experimental track characteristics leads to specific functions describing the geometry of coatings formed by overlap of individual tracks depending on the processing parameters. The recursive model provides an adequate description of the whol… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2016
2016

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…The purpose of this work is to build on these previous developments [23,33,34], extending the recursive model to multilayer coatings (created via overlap of individual tracks in laser cladding) so that the final height and surface roughness of an arbitrary coating can be predicted. Furthermore the goal is to produce a complete prediction of the deposited clad geometry, as a 2D cross-sectional model that can be used for prediction of 3D structures, based purely on initial processing parameters that can be adjusted in each experiment, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The purpose of this work is to build on these previous developments [23,33,34], extending the recursive model to multilayer coatings (created via overlap of individual tracks in laser cladding) so that the final height and surface roughness of an arbitrary coating can be predicted. Furthermore the goal is to produce a complete prediction of the deposited clad geometry, as a 2D cross-sectional model that can be used for prediction of 3D structures, based purely on initial processing parameters that can be adjusted in each experiment, i.e.…”
Section: Introductionmentioning
confidence: 99%