SLIDE 1 South Eastern Applied Materials Research Centre Principles and Applications of X-ray Micro Tomography
Presented by
SEAM Centre Director & Technology Gateway Manager Presented to: MSI 2015 Symposium University of Limerick, 27th August 2015
SLIDE 2 Presentation Outline
- SEAM Introduction & activities
- X-ray tomography origin
- X-ray tomography- Principles and Method
- X-ray micro-tomography applications – Case Studies
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- SEAM is a Materials Science and
Engineering Research Centre working both in industrial and academic spheres, with the aim of bridging the gap between academia and industry.
is based within Waterford Institute of Technology, Waterford.
- SEAM Launched in 2009
- Member of EI Technology Gateway
Network, a nationwide resource for industry delivering solutions on near to market problems for industrial partners
SEAM – Who We Are…..
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What does SEAM do?
SEAM, regarded as one of Ireland’s leading Technology Gateways offer Engineering Materials Technology supports to industries Provide unique world class professional services to industries and undertake materials research based projects
SLIDE 5 SEAM Core Capabilities
scan (X-ray tomography): Non destructive 3D analysis of materials and components
design
through
- verlaying of scanned CT data over original
CAD data
- 3D Metrology solutions
- Finite
Element Modelling (FEM)
components & systems
- Failure analysis of product components
- Provider of bespoke solutions for customer
specific issues
- 3D Metal Additive Manufacturing
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Two walk–in CT Systems at SEAM (Probably the only place in the world to have 2-walk in systems in an academic institute)
SLIDE 7 Nanotom (180 kV) at SEAM
- Samples up to 60mm Φ
- Plastics and small metal samples
SLIDE 8 V|TOME|X L 300 (dual tube) at SEAM
- Samples up to 600mm Φ
- Large heavy metal samples (up to 90mm solid Ni based
super-alloys
SLIDE 9 SEAM’S OTHER KEY CAPABILITIES
Ansys work bench (Commercial License) Two high performance work stations
- Synthesis and characterisation of:
- Polymeric materials
- Adhesives
- Glass and glass-ceramics
- Failure Analysis of :
- Medical devices and bio-material components
- Structural and electronic components
- Act as one stop shop for getting job done through external
sources for any materials related investigations which are beyond SEAM resource capabilities
SLIDE 10 SEAM’s Impeccable Industry Collaborative Record
- Established collaborations with over 100 Irish Based Industries
- 75% of SEAM clients are Multinationals (MNCs) and 25% are
Indigenous clients
- Executed over 800 direct funded Industrial projects since 2009
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SEAM Client Companies
SEAM currently assists over 100 companies in Ireland
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Recognition
Won Knowledge Transfer Ireland (KTI) Award 2015 under Industrial Consultancy Impact category
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- Developing an arthoscopically accessible cartilage
defect measuring device (EI Commercialisation program).
- Collaborating with PMBRC to produce a prolonged
release Injectable Delivery system for a certain medical condition (Com fund programme)
- Development of a novel sensor system for real
time in-situ monitoring of Tool wear in Precision Engineering Applications (EU: FP7-SME Program; Project Co-ordinator Dr. Ramesh Raghavendra)
- Supervising Two Ph.Ds & 2 WIT Mech Engg
student projects
- Providing placement training for WIT Engg
graduates
13
SEAM’s current Applied Research/Academic Activities
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X-ray Micro Computed Tomography (XMT)
Theory and Applications
SLIDE 15 Tomography
: ‘Tomos’ = slice or section + ‘graphy’ = field of study
Alessandro Vallebona. Invented the principle of tomography in 1930
SLIDE 16
Sir Godfrey Hounsfield developed first medical CT scanner in 1969 His work was funded by EMI mainly due to the the success of The Beatles in the 1960’s.
SLIDE 17 What is X-Ray Microtomography (XMT)?
- X-ray microtomography is a non-destructive
analysis technique used to visualise and characterise objects in three dimensions.
- It is the process of imaging an object from
many directions using penetrating radiation (e.g. X-rays) and using a computer to determine the interior structure of that object from these projected images
- XMT can be considered as a miniaturised
version of medical CT or CAT scanning
X-ray projection image 3D Reconstructed model
SLIDE 18 X-Ray Gun Detector Manipulator
X-Ray Computed Tomography -Components of a µCT system
180 kV Tungsten Target 2 MP CMOS Detector
~1080 projections acquired
SLIDE 19 The Method
- The method involves the acquisition of a series of x-ray projection images
(similar to those used by a medical doctor to diagnose a broken bone) at a known number of angular positions through 360 degrees.
- Variation in the contrast of each projection image relates to how the x-rays
are attenuated as they penetrate the sample.
- X-ray attenuation increases proportionally to both the electron density and
thickness of the sample material thus resulting in a darker project image.
- X-ray must penetrate sample at all angles through 360°
- Specialised mathematical calculations known as 'reconstruction algorithms'
are used to create a 3D image from the x-ray projections.
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- X-ray attenuation increases proportionally to both the electron
density and thickness of the sample material thus resulting in a darker project image.
- X-ray must penetrate sample at all angles through 360°
- Specialised mathematical calculations known as 'reconstruction
algorithms' are used to create a 3D image from the x-ray projections.
X-Ray Microtomography basics –contd..
SLIDE 21 X-ray Microtomography: Data Reconstruction
- Axial slice views are computed from the x-ray projections using
back projection reconstruction algorithms
- 3D rendering of the all axial slice views allows visualisation of the 3D
model
X-ray projections Computed axial slice 3D rendered model
SLIDE 22 Visualisation software permits numerous analysis options from creating sections through the 3D model to quantification of size, internal porosity, surface area or segmentation based on differences in density.
X-ray Microtomography: Data Analysis
0.3 mm 0.2 mm
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XMT components: X-ray Tube (source)
- Positively charged anode
- Negatively charged cathode
– Heated filament releases electrons (e-) – e- are accelerated towards positively charged anode – Kinetic energy related to the voltage potential – e- strike anode target generating
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XMT components: X-ray Tube (source) contd..
Sources available in various powers and focal spot abilities. Seam utilise high performance variable focus tubes
- Nanofocus (0.8µm) 180kV
- Microfocus (3µm) 300kV
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XMT components: Detector panel
Scintillator Material
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XMT components: Detector Panel
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XMT components- Scintillator
Typically one of two materials:
- CsI – Cesium Iodide
- Gadox – Gadolinium oxysulfide
CsI is more sensitive but prone to higher levels of ghosting. Gadox is less susceptible to ghosting but less sensitive. CsI is used in VTOMEX L 300 Gadox is used in Nanotom system
Fabrication and imaging characterization of high sensitive CsI(Tl) and Gd2O2S(Tb) scintillator screens for X-ray imaging detectors: Bo Kyung Cha, Jong Yul Kim, Cheulmuu Sim, Gyuseong Cho
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X-ray Computed Tomography
Achieving Magnification
Sample diameters from sub-mm to 500mm. Detail detectability to below 1µm Height ranges up to 600mm. Weight capacity up to 50kg. Rule of thumb for calculating spatial resolution (µm): Largest dimension (mm) divided by 2000.
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Case Studies
- Dental frameworks
- Tablet discolouration
- Powder Application Demonstration
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Dental Frameworks
The problem:
- Many different systems exist to create cast CoCr denture
frameworks using impressions taken from a patient’s mouth
- Which, if any, sprueing system produces the most
geometrical accurate casting?
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
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Overview of the Components
Framework 1 Framework 2 Framework 3
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
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Overview of the Components – contd… Model Framework
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
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Overview of the Components- contd..
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
Framework 1 Framework 2 Framework 3
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Frameworks Aligned to Model
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
Framework 1 Framework 2 Framework 3
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Nominal Comparison
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
Framework 1 Framework 2 Framework 3
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Deviation Comparison
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
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Conclusion
- Sample 1 is the best overall match to the model.
Data used with permission of Michael McDowell, School of Dentistry, Royal Victoria Hospital, Belfast
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Tablet Discolouration
The problem:
- Pharmaceutical tablets must have an attractive and
homogeneous appearance.
- A client presented tablets which were a slightly
different colour to the ‘good’ tablets. The question:
- Can CT determine the reason for tablet
discolouration?
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Tablet Overview
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Tablets – With Highlighted Regions
Good Bad
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Tablets – Packing Density Analysis
‘Good’ Material % Average Material % Region 1 97 97 Region 2 97 Region 3 97 Region 4 97 ‘Bad’ Material % Average Material % Region 1 95 93.75 Region 2 93 Region 3 93 Region 4 94
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Outcome
One sample shows a different packing density to the
Next step: confirmation from alternative source.
- “Appearance of the model tablets depended
significantly on the compression pressure” - Matsumoto et Al. Impact of compression pressure
- n tablet appearance. International Journal of
Pharmaceuticals 341 (2007) 44-49
SLIDE 43
Powder Application Demonstration
Demonstrate the capabilities of x-ray micro-computed tomography to analyse powders.
A sample of Powdered milk (infant formula) was X-rayed using the Nanotom XMT system at SEAM
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Application Demonstration: Powdered Milk
Visualisation and analysis courtesy of FEI Visualization Sciences Group
Reconstructed Data 3D View
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Single Axial Slice
Note the presence of particles of various densities
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Selecting Higher Density (Brighter) Particles
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Selecting High Density Particles
All particles shown in the left half Only high density particles shown in the right half
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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High Density Particles Colour Coded by Size
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Particles Filtered by Size (Small)
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Particles Filtered by Size (Large)
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Identifying Conglomerates of Particles
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Highlighting Individual Particles in Conglomerates
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Snapshot of Data Available for Statistical Analysis
A small snapshot of the >1600 particles identified
Visualisation and analysis courtesy of FEI Visualization Sciences Group
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Outcome
- Particle radio density was used to identify different particle types in
the powder.
- Particle size analysis was performed. Particles were colour coded by
size and various operations carried out including:
- Filtering by size (sizes may be arbitrarily defined).
- Identification of conglomerates (arbitrarily defined space
between particles).
- Identifying the particles that make up these conglomerates.
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Thank You For Your Attention from SEAM Team
SEAM Team Delivering Real solutions for Real Problems
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Thank You for your Attention