Surface texture measurement for AM · J. Vaithilingam, E. Saleh, C. Tuck (Uni. Nottingham)...
Transcript of Surface texture measurement for AM · J. Vaithilingam, E. Saleh, C. Tuck (Uni. Nottingham)...
Surface texture measurement for AM
Nicola Senin1, Andrew Townsend2, Liam Blunt2, Richard Leach1
1 University of Nottingham, 2 University of Huddersfield
Surface metrology
Measurement and characterisation of surface topography = form + texture
AM Processes (e.g. SLM of metals)
Products or artefacts
Measurement instruments
Topography = form + texture
Surface texture measurement for AM
Measurement solutions
Areal topography datasets
Areal topography measurement instruments
Why characterise texture?
AM Process
Study texture as means to deliver function
Destined to a function?
Destined to post-processing?
Study texture as source of post-processing challenges
Study texture to understand and optimise the AM process
Regardless of destination…
feedback
Why characterise texture?
AM Process
Study texture as means to deliver function
Destined to a function?
Destined to post-processing?
Study texture as source of post-processing challenges
Study texture to understand and optimise the AM process
Regardless of destination…
feedback
Texture characterisation for “understanding” the manufacturing process
Mfg. process SIGNATURE / FINGERPRINT
What are these formations?
How were they generated?
Selective laser melting of metal alloy
The challenge of understanding
From: John S. Taylor, Met&Prop 2015
E.g. for SLM of metals
Scales of observation (spatial bandwidths) 20x
50x
100x
e.g. SLM of metals
Measurement sets a viewpoint
A paradigm shift in texture characterisation
Sa
=1
Az (x , y ) dx dy
Aòò
Sq
=1
Az 2 x , y( )dx dy
A
òò
Sku
=1
Sq
4
1
Az 4 x , y( )
Aò dx dyòé
ëê
ù
ûú
pores
canyon
scratch
From “field” properties (texture parameters)…
… to selective characterisation of relevant features
Surface features in AM
Defect in SLM surface (inclusion?)
Overlapping weld tracks in SLM surface
Spheroidal formation in SLM surface (spatter/balling?)
Dimensional metrology of surface features
Feature identification
Extraction
Dimensional metrology
Characterisation of artefacts
SLM track Jetted formations – A. Husler, M. Alexander, R. Wildman (Uni. Nottingham)
Jetted tracks – J. Vaitilingham, E. Saleh, C. Tuck (Uni. Nottingham)
Dimensional metrology of jetted artefacts
Jetted tracks
J. Vaithilingam, E. Saleh, C. Tuck
(Uni. Nottingham)
Dimensional metrology of jetted artefacts
Jetted tracks
J. Vaithilingam, E. Saleh, C. Tuck
(Uni. Nottingham)
Localised asperities in SLM surfaces
Evolution of the top layer
Jetted formations
A.Husler, M. Alexander, R. Wildman
(Uni. Nottingham)
NanoScribe - regular grids for light entrapment devices A.Knotts + 3DPRG (Uni. Nottingham)
Measurement challenges
Conclusions
- Profile parameters still dominant
- Ra most widely used
- Areal texture parameters have distinct advantages for AM
- Topography should be characterised in context (function, mfg. process)
- Measurement should be planned in context (e.g. spatial bandwidths)
- Texture parameters can be complemented by segmentation and dimensional metrology of relevant topographic features