surface texture - bruker...surface texture metrology why filtering and what does it do? 3/26/2015 21...
TRANSCRIPT
Outline
3/26/2015 2Bruker Confidential
• Introduction
• Brief overview of 3D microscopes based on interference
• Application to surface texture metrology
• Summary + Q&A section
• Tactile/stylus system users interested in exploring non-contact solutions
• Users looking for repeatable, reproducible metrology for surface texture from nm to µm scales
• Those unfamiliar with 3D optical microscopes based on interferometry and the capability of these tools for non-contact measurements
• Anyone who wants to make comparison to 2D tactile results when using 3D non-contact metrology for surface texture
Who Will Benefit?Intended Webinar Audience
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IntroductionBruker Stylus and Optical Metrology
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• Technology Leadership• 60+ Patents• 4 R&D 100 Awards• 6 Photonics Circle of
Excellence Awards
• Manufacturing Excellence• Lean, six sigma-based process• Rapid production ramp
capability• 10,000+ global installed base
Bruker Stylus and Optical Metrology is Part of Bruker Nano Group
IntroductionSpeaker
Matt Novak, Ph.D.Director, Technology and Applications Stylus and Optical [email protected]
• Joined Bruker March 2011 (4 years)
• Industry experience (~18 years) optical and systems engineering, fabrication and metrology
• Earned Ph.D. working in private sector metrology capital equipment (instrument design/assembly/test)
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Outline
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• Introduction
• Brief overview of 3D microscopes based on interference
• Application to surface texture metrology
• Summary + Q&A section
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• Microscope with special objective used to provide sample height data• Optics scanned vertically, sample passed through focus• Computer system computes height from this scan data (image stack)
Bruker 3D Optical MicroscopesProduce Accurate 3D Image of Areas of Interest
Fundamental TechnologyPhase Shifting, White Light, or Coherence Scanning Interferometry
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~
VSI
3D Microscope (Vertical Scanning) Image acquisition for VSI - example
Feature of
Interest
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Live Video View
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~ 40 µm
~ -110 µm
~ 150 µm range
Images can be displayed as a color look up table (e.g., red high, blue low)
…or displayed in greyscales to look like SEM as well
3D Microscope Surface ImagingWhat do 3D Images Look Like?
Outline
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• Introduction
• Brief overview of 3D microscopes based on interference
• Application to surface texture metrology
• Summary + Q&A section
Surface Texture OverviewIllustrated by a walk over Picacho Peak, AZ, USA
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Generally thought of as texture (deviation from ideal form)
Roughness 2D and 3D DescriptionsWell Defined…But No Spatial Information
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X
YZ“Surface Roughness”, Ra (Sa) is the average of the absolute
value of profile heights over a given length (area).
dxdyyxZA
SLxLy
a 00
),(1
LdxxZ
LR
L
a 0
)(12D
3D
Surface Texture (Surface Roughness, Waviness and Lay)ANSI/ASME B46.1, 2009, American Society of Mechanical Engineers, NY, New York 10017.
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TextureSurfaces Have Different Characteristics and Scales
Histogram shows preponderance of surface is at lower heights Areal parameters to describe this surface property are useful
Texture: “The composite of certain deviations that are typicalof the real surface. It includes roughness and waviness…”
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Roughness - Not Necessarily EnoughSurfaces Have Different Characteristics and Scales
These two surfaces have identical Ra (Sa)
Surfaces are different functionally
3D areal parameters (S-parameters) have been developed to capture the differences in a quantifiable way
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Machining Influence on TextureExample 3D Areal Images – NB Directionality
• Flat lapping/Reaming • Grinding
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• Horizontal Milling
• Vertical Milling
• Turning
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2D and 3D Roughness InspectionWhy 2D vs. 3D, Why Now?
• Roughness has been measured for decades via 2D cross section• What industrial surfaces lend themselves to 3D vs. 2D inspection?
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Directional surface, small holes 3D regular surface Random surface elementsdue to turning, grinding, milling (e.g., honed cylinder) (e.g., bound abrasives)
2D: profile OK 3D: measurement provides 2D: position dependentMeasure 90°to texture additional information 3D measurement is required to characterize regarding hone, volume required to characterize
3D Image and Areal ParametersMore Information than 2D Cross Section, Faster
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3D Areal Example Applications3D Data Relate to Properties of Interest
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There are ISO norms for 3D parameters, filters (various parts, numbers):
There are analogous norms for 2D:
- 2
Surface Texture MetrologyWhy Filtering and What Does it Do?
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• A measurement system build a “representation” of the surface
• Must keep different instrument effects in mind when analyzing results (mechanical stylus filtering, FOV, lateral resolution, etc.)
• After surface is measured....• Data are reduced to a series of parameters (e.g. Ra, Sa)• The value of the parameters may/will depend on the instrument• Filtering defined according to “the rules” provides for standardized
analyses and best repeatability, reproducibility, and correlation
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FilteringRobust Gaussian Filter – Why?
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Non-Robust
Robust
Filtered surface
Filtered surface Roughness data
Roughness data
Robust Filter Removes Filter Artifacts from Roughness Data
Raw 3D surface data
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Filtering2nd Order Gaussian – Why?
0th Order
2nd Order
Filtered surface
Filtered surface Roughness data
Roughness data
2nd Order Filter Removes Edge Artifacts from Roughness Data
Raw 3D surface data
Consistent Filtering, Industry NormsAllows Proper Comparison Across Computations
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Unfiltered data UH
NISTBruker
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Many Manufacturers, Software ChoicesEmphasizes Need for Standardization
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ISO norms filtering for computations
Enables good match across methods, materials
2D and 3D Surface Measurements 2D is Reliable, 3D is Data + Information Rich
• 2D amplitude and statistical parameters are great metrology tools, used since 1930’s to compute from tactile profilers• Reach into small bores, tight spaces (with limitations)• Many applications these work very well• For soft coatings, thin metals, polymers, can make impressions
• 3D areal (S-parameters) have been developed to take advantage of computational power and describe structure• Fast, non-contact
• Structural information has been shown to relate to functional surface performance (shafts, friction plates, seals, etc.)
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ApplicationConsiderations When Comparing 2D to 3D Data
• Consider: Must compare, or is new metric which is repeatable, reproducible enough?
• In wide range of cases, 3D WLI data provides analogous results to 2D tactile profile data (Ra to Sa comparison)
• Scientific research show some differences seen –(Pavlicek, Vorburger, Leach, others)• Speckle, diffraction effects• Noise at edges, steep slopes• Slightly increase systematic noise due to
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ApplicationConsiderations When Comparing 2D to 3D Data
• If one must compare between 2D and 3D for process reasons or to match current methodology
• Mitigation 1 - Use proper filtering, sampling
• Mitigation 2 – Use high magnification, proper evaluation area (stitching as needed, phase correct imaging – for Bruker – VXI in limit cases)
• Mitigation 3 – Use correlation function to bridge differences (values are highly repeatable)
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New Computational MethodologiesPhase improves roughness accuracy
• Improved Computational Solutions for WLI• Combined use of amplitude and phase
information for improved center of mass computation
• Examples – CCI, SWLI algorithms, Bruker’s VXI, others…??
• VXI renders topography by…• Self-sensing smooth/rough
surface• Producing high accuracy phase
data surfaces• Reducing noise and artifacts on
rougher surfaces
ApplicationExamples Showing Comparison, 2D and 3D Data
• Show examples comparing tactile surface roughness and 3D optical surface roughness
• Show example results on traceable standards on tactile (stylus based) and non-contact (3D microscope based on WLI) systems
• Show result on precision sample deemed to be difficult due to nature of light / surface interaction
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Tactile Roughness MetrologyIndustrial Stylus Setup
• Industry Metrology Lab – Calibration Report
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NB: ISO CD 11562 – covers phase correct (Spline Gaussian) filtering
3D Microscope Roughness MetrologyOptical System Setup
• 10X objective magnification• 0.55X zoom lens
magnification
• Total magnification of 5.5X (1.2 mm x 0.9 mm for single field of view, 1.8 micron spatial sampling)
• Filtering with cutoff lengths (0.8 mm and 0.0025 mm), phase correct Spline within Vision software Stylus Analysis
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3D Optical Result – 209.3 nmIndustrial Stylus Result - 209.4 nm
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Average Ra, Vision Stylus Analysis = 209.3 nm
3D Optical Result – 573.4 nmIndustrial Stylus Result - 568.9 nm
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Average Ra, Vision Stylus Analysis = 573.4 nm
3D Optical Result – 1.61 μmIndustrial Stylus Result – 1.62 μm
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Average Ra, Vision Stylus Analysis = 1.61 μm
3D WLI Microscope and StylusComparison on PTB* certified standards
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• PTB = Physikalisch-Technische Bundesanstalt• National Metrology Institute of Germany
PRECISION SAMPLEElectroformed nickel sine wave grating
Nominal Ra=0.100um, Period = 10um, PV=.3 umhttp://www.rubert.co.uk/Reference.htm
Measurements with 115X interferometric objectives
Camera sampling 640x480 pixels
March 26, 2015 Slide 37Bruker Confidential Information© Copyright 2011, Bruker Inc. All Rights Reserved
10um
55um
3D WLI Microscope and StylusComparison on Precision Sample
March 26, 2015 Slide 38Bruker Confidential Information© Copyright 2011, Bruker Inc. All Rights Reserved
Stylus profiler trace
2um tip Single 55 um profile
3D Microscope data section
115X 0.8 NA objective, VXISingle 55 um profile
Method Ra
Nominal 100 nm
Optical 105 nm
Stylus 108 nm
3D WLI Microscope and StylusComparison on Precision Sample
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Sa: Surface Average Roughness
Sq: Surface RMS Roughness
Both A and B have:Sa = 16.03nm and Sq= 25.4nm
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Example Surface Texture Uses Amplitude Parameters – No Spatial Information
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Rvk
Rpk
Rk
Bearing Ratio Curve
Mr1 Mr2
Spk = “Peak Height” .. First Region of contactSk = “Core Height”... “working” Region ..”Base”Svk = “Valley Depth” ... “Lubricant Retention Region”SMr1 = “1st Material Ratio”... “Peak Material”SMr2 = “2nd Material Ratio” ... “Valley Material”
Example Surface Texture Uses Functional Parameters – Derived via Abbott Curve
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Sbi: Surface Bearing Index
)05.0(1
)05.0( hTrueheightqbi SS
For Gaussian, Sbi=0.61 , High Sbi = good bearing surface
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Example Surface Texture Uses Functional Parameters, Surface Bearing Index - Sbi
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Sci: Core Fluid Retention Index
qA
hVhVci SS vv
)()( 80.005.0
Vv(h) is the void Volume at h
Svi: Valley Fluid Retention Index
qAhVi SSv v
)( 80.0
For Gaussian, Sci = 1.56, smoother = smaller Sci
For Gaussian, Svi = 0.11, Good Fluid Retention = larger Svi
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Example Surface Texture Uses Functional, Fluid Retention Properties – Sci, Svi
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Honed SurfaceAngular Power Spectrum
Honed SurfacePower Spectrum
Std: Texture Direction of SurfaceAPSDFromDerivedLayofdirectionMajortdS
Honed Surface
Std Major = -70 degStd Minor = 71 deg
70 deg
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Example Surface Texture Uses Spatial Surface Parameters – Std
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Str: Texture Aspect Ratio
directionanyinACFofdecayslowestofLengthdirectionanyinACFofdecayfastestofLength
trS )2.0(
)2.0(
Sal: Fastest Decay Autocorrelation LengthDirectionAnyIntoACFofdecayfastestoflengthalS 2.0
LithoplateBrake Rotor
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Example Surface Texture Uses Spatial Surface Parameters – Sal, Str
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Sa for two surfaces within 10%
Sdr (Developed Interfacial Area) is different by 200%
Sdr is particularly useful for study of adhesion and coatings for functional surfaces
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Example Surface Texture Uses Hybrid Parameters – Sdr
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Svi can be target value for proper performance during manufacturing process
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Application – Honed CylinderFunctional Parameters
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Sbi 0.69
Sci 1.29
Svi 0.15
Sm 2.5 x 10-5
Sc 8.0 x 10-4
Sv 1.1 x 10-4
Unworn Bore Worn Bore
Sbi 0.70
Sci 1.32
Svi 0.11
Sm 8.3 x 10-6
Sc 1.5 x 10-4
Sv 1.8 x 10-5
1 mm
Note similar functional surface parameters for both cases
Bruker Confidential
Application – Wear of Cylinder BoreFunctional Parameters
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Shaft- UnwornSa 368nm
Sds 1130 /mm2
Ssc 49 mm-1 (radii 20m)
Sa 769 nm
Sds 247 /mm2
Ssc 6 mm-1 (radii 166 m)
Shaft- worn600 m
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Application – Journal Sealing SurfaceAmplitude, Hybrid Parameters
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Application – Bearing Wear Amplitude Parameters
• Roller bearings are investigated for end thrust wear
• Interferometry will easily measure the surface texture of 1-4 micro-inches (25 nm – 100 nm)
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Flexible Φ automation and cylinder stitching supported
Auto-locate measurement sites and“stitch” images to make larger format
Cylinder stitch showing sealgroove ~ 4 µm depth
Available on Contour with horizontal sample roller stage or NPFLEX Products
Application – Sealing SurfaceSpatial, Amplitude Std, Sz
51
• Crosshatch texture of machined surface affects lubrication and motion of piston within the cylinder bore
• Fold mirror bends optical axis to analyze sidewall surface textures
The Bruker fold mirror bends the light path to image the honed bore sidewall - the honing process results in a cross hatch texture shown here in 3D
Application – Cylinder Bore 3D Imaging for Spatial, Std, Hone Angle, Svi
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Application – Cylinder LinerFold Mirror 3D Imaging
Views of fold mirror optics cover larger and smaller bores
9.11”
1.34”
Max Distance Inner Bore ~ 7.75”
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Application – Cylinder Bore, LinerLong Reach Objective, 3D Imaging
Outline
3/26/2015 54Bruker Confidential
• Introduction
• Brief overview of 3D microscopes based on interference
• Application to surface texture metrology
• Summary + Q&A section
Summary
• Introduced Bruker, SOM within Bruker Nano Group
• Overview, 3D microscopes based on WLI technique• Discussed surface texture, measurement
• 2D tactile systems compared to 3D non-contact• Discussed considerations when comparing techniques• Discussed methods, mitigations to make best comparisons
• Showed examples of 3D S parameters, applications• Questions? [email protected]
3/26/2015 Slide 55Bruker Confidential Information© Copyright 2011, Bruker Inc. All Rights Reserved