Mentored by Brian Schuster and Jonathan Ligda

Slides:



Advertisements
Similar presentations
A QUICK OVERVIEW OF LAB REPORT 0 GRADER COMMENTS Physics 119 Lab 0 Rubric Commentary.
Advertisements

Microspectrophotometry Validation. Reasons for Changing Instruments Reduced reliability. Limited efficiency. Limited availability and cost of replacement.
Introduction The use of qNMR for purity measurement has been steadily growing in recent years. The assessment of the purity of calibration materials and.
SLAC National Accelerator Center
EPOCH 1000 Series Procedure Phased Array DGS/AVG
Upcoming Review of the Hall D Photon Beam and Tagger Richard Jones, University of Connecticut, for the GlueX collaboration GlueX Collaboration Meeting.
Controlled Scanning of Microtiter Plates through the Use of LabVIEW® Erica Chin Anton Edmund Samir Laoui May 14, 2008.
VTSLM images taken again at (a) 4.5  (T=84.7K), (b) 3.85  (T=85.3K), (c) 22.3  (T=85.9K), and (d) 31.6  (T=86.5K) using F-H for current and A-C for.
III. Results and Discussion In scanning laser microscopy, the detected voltage signal  V(x,y) is given by where j b (x,y) is the local current density,
Results The following results are for a specific DUT device called Single Ring Micro Resonator: Figure 6 – PDL against Wavelength Plot Figure 7 – T max.
(FEA) Analysis P J Smith University of Sheffield 27 th November 2008.
Prepared using support of U.S. Department of Energy under Contract No. DE-AC02-76SF00515 by the Stanford Linear Accelerator Center, Stanford, California.
Operation of the S4700 FESEM
Zachary Wolf Undulator Oct 12, LCLS Undulator Tuning Zack Wolf, Yurii Levashov, Achim Weidemann, Seva Kaplounenko,
DELTA Quadrant Tuning Y. Levashov, E. Reese. 2 Tolerances for prototype quadrant tuning Magnet center deviations from a nominal center line < ± 50  m.
Scanning Electron Microscopy
Technological Advancements in SciVis
Engineering NDT Advanced NDE Pressure Equipment Integrity Management Lab Analysis Development of NDT Inspection Techniques For Heavy Wall Stainless Steel.
Timothy P. Kurzweg, Allon Guez, and Shubham K. Bhat Drexel University Department of Electrical.
D EDICATED S PECTROPHOTOMETER F OR L OCALIZED T RANSMITTANCE A ND R EFLECTANCE M EASUREMENTS Laetitia ABEL-TIBERINI, Frédéric LEMARQUIS, Michel LEQUIME.
LASER AND ADVANCES IN METROLOGY
BACKGROUND Biomechanical properties of cartilage vary throughout joint surface Manual positioning & testing of each site is time- consuming Proposed Robotic.
IFE Plant Structural Concepts Including Shielding and Optical Stability Requirements Thomas Kozub, Charles Gentile, Irving Zatz - PPPL.
Other modes associated with SEM: EBIC
Magnification Calibration Interlaboratory SEM Study: Part 1.
Peter J. LaPuma1 © 1998 BRUKER AXS, Inc. All Rights Reserved This is powder diffraction!
No standard for OE packaging and assembly automation. Misalignment between optical and geometric axes Packaging is critical to success or failure of optical.
Diamond Radiator Fabrication & Assessment Update Brendan Pratt Richard Jones University of Connecticut.
LIGO-G0200XX-00-M LIGO Scientific Collaboration1 First Results from the Mesa Beam Profile Cavity Prototype Marco Tarallo 26 July 2005 Caltech – LIGO Laboratory.
Introduction. Like a house consisting of rooms separated by walls, a crystalline material consists of grains separated by grain boundaries. Within a grain,
Scanning Electron Microscopy
Scanning Electron Microscopy. The Scanning Electron Microscope is an instrument that investigates the surfaces of solid samples.
Simulation and Experimental Verification of Model Based Opto-Electronic Automation Drexel University Department of Electrical and Computer Engineering.
SL/BI 16/05/1999DIPAC’99 -- JJ Gras -- CERN SL/BI -- Adaptive Optics for the LEP 2 SR Monitors G. Burtin, R.J. Colchester, G. Ferioli, J.J. Gras, R. Jung,
Speaker: Shiuan-Li Lin Advisor : Sheng-Lung Huang
Midterm Review 28-29/05/2015 Progress on wire-based accelerating structure alignment Natalia Galindo Munoz RF-structure development meeting 13/04/2016.
4/28/2017 Stress Corrosion Cracking Assessment in Pipeline Mohammed Abu Four October 11, 2010.
Optimization of Graphene Conductivity Under Pressure Variations Robert W. Raines Introduction The purpose of this experiment was to see if the conductive.
Automatic Test Equipment Development with C-ON Seo Dong Gon Yonsei University.
Overview of Instrument Calibration Presents by NCQC, India.
METHODOLOGY Nanotechnology Prof. Dr. Abdul Majid Department of Physics
Scanning Electron Microscope Eee-Jay Rodriguez. The Structure of the Microscope Inside Outside.
Quality Assurance.
Mohammed Zeeshan BT/PE/1601/ Microtexture: Electron Diffraction in the SEM Texture And Microstructure & Anisotropy.
Presentation on SEM (Scanning of Electron Microscope) Represented by:-Ravi Kumar Roll:- (BT/ME/1601/006)
An oil company in Canada
Matter in Extreme Conditions at LCLS:
Saint- Petersburg State University of Aerospace Instrumentation
Network Topology Name: Dua'a Alfadhli ID: Section: 201
Scintillation Material Encapsulation Fixture
LCLS CXI Sample Chambers and Engineering Solutions
HIV Drug Resistance Training
Concepts and Requirements for GIMM Structures
Technological Advancements in SciVis
SEM In-situ Experiments for Breakdown Study
Pierre-Alexandre Thonet
Digital Processing Techniques for Transmission Electron Microscope Images of Combustion-generated Soot Bing Hu and Jiangang Lu Department of Civil and.
3D Multimodal Imaging of Biphasic Thermoelectrics
Vibration Measurement, Analysis, Control and Condition Based Maintenance 14 Predictive maintenance Dr. Michiel Heyns Pr.Eng. T: C: +27.
Spherical Measuring Device of Secondary Electron Emission Coefficient Based on Pulsed Electron Beam Kaile Wen Shulin Liu Baojun Yan Yuzhen Yang Yang.
Volume 110, Issue 4, Pages (February 2016)
On the accuracy of port assembly at Wendelstein 7-X
Automatic compression control for the LCLS injector laser
Science Advancements in SciVis
Advanced Research Electron Accelerator Laboratory
Volume 110, Issue 4, Pages (February 2016)
Paige Thielen, ME535 Spring 2018
A fixture designed to provide high precision, high throughput routine spatial characterization of the Xoft Axxent™ X-ray source Linda Kelley, Steve Axelrod,
Computed Tomography (C.T)
Introduction to Computers
Presentation transcript:

Mentored by Brian Schuster and Jonathan Ligda Automated femtosecond laser serial sectioning in a scanning electron microscope Wyatt Jordan Mentored by Brian Schuster and Jonathan Ligda Introduction Results Results (cont.) Left to right pos.’s: 1”, 14.5”, 28”, bottom of poster 29”, overall size 42x30, set-up coords: 12.33X6.91, 14.83X14.75 Analysis of a material’s microstructure can be applied to explain material properties and predict resistance to ballistic impact. The optimal method for acquiring microstructure data is through serial sectioning coupled with image segmentation to generate 3-dimensional maps of the microstructure. Electron BackScatter Diffraction (EBSD) data can also be segmented into 3-dimensional maps with the added advantage of recording the crystal orientation of a material. However, generating the images for segmentation is impractical for researchers unless automated and implemented by machinery (Spowart, 2006). This project contributed to the automation of serial sectioning at the Army Research Laboratory (ARL) by optimizing and testing a LabVIEW™ program for controlling the entire sectioning process inside a Scanning Electron Microscope (SEM). Serial sectioning simulations were performed on a sample of copper to assess the accuracy of the stages and overall program flow. These simulations were executed at several slice thicknesses to determine the sectioning capability of the microscope. Sectioning with a slice thickness of 100nm caused inconsistent fiducial locations and stage positions. Error in the Z-stage became consistent when sectioning slices of at least 500 nm (See Graph 1), and increased by almost exactly 115 nm per slice. The fiducial locations were recorded and the error calculated in order to gauge the effectiveness of the image alignment. An alternating pattern was produced by the fiducial error (See Graph 2) and most likely caused by a 250 nm tolerance parameter in the image matching code. Adjusting this parameter should reduce error in both the image alignment and stage positions. Reliability of the program was critical for ensuring the various probes’ safety throughout the sectioning process. The shield and FSM are calibrated by the user prior to sectioning to keep the beam contained and prevent it from reaching any sensitive probes. If any of these parameters are not set, the program will fail to begin sectioning, and prompt the user for the necessary information. Automated movements of the stage and shield require less than two minutes per slice. However, the required milling time and parameters are yet to be determined. Anticipated time for each slice with milling is no more than 10 minutes. 100 mm 5 µm Methods and Materials Picture 1: SEM vacuum chamber and 5-axis stage which is capable of tiliting the required 40° for milling samples Picture 2: Fiducial with a 15um diameter made by the FIB for image alignment The central piece of equipment was the FEI Nova Nanolab 600i SEM (Picture 1) which offers dual beam capability. The main beam is an electron column which is standard on all SEMs for imaging, and the secondary beam is a Focused Ion Beam (FIB) for milling. The ion beam has a minimal milling rate, so a Clark-MXR, Inc. CPA 2110 femtosecond laser was installed and aligned with the microscope (Figure 1). Since the laser pulses at a rapid rate and has a wavelength of 775 nm, just outside the visual spectrum, safety procedures were established to protect personnel and the EBSD probe. The laser’s internal shutter was networked to the microscope computer so that it could be controlled through the LabVIEW™ program. Precisely aligning the laser for each sample is critical for the safety of the microscope and accurate milling. A Fast Steering Mirror (FSM) model 300-01 from Newport© was installed on one of the SEM’s ports and a calibration program written so it could be aligned with each specific sample prior to sectioning. A piezoelectric linear actuator with a non-magnetic stainless steel shield was installed and programmed in order to protect the sensitive EBSD probe during milling. The shield had to be dynamic so that it did not block the electron column when images were captured. After each slice of material is removed the stage moves to the proper imaging position, captures an image, then moves back to the milling position with a slight increase in height for milling the next slice. The z-axis of the SEM is less accurate than the other axes so a fiducial (Picture 2) is initially made by the FIB for image alignment. The final stage adjustments prior to milling are executed through Runscript, the microscope’s standard programming language, which has built-in image matching functions. The accuracy of the program was assessed by observing the error in fiducial location and z-stage position for various slice thicknesses. Figure 1: 1. Vacuum Chamber 2. EBSD Probe 3. Focused Ion Beam 4. Main Electron Column 5. Laser Objective 6. Fast Steering Mirror 7. Femtosecond laser (Echlin, 2012) 4. 3. 6. 5. Conclusions The implementation of all components necessary for sectioning was completed in LabVIEW, proving that automated serial sectioning is practical with the equipment available at ARL. The simulations were successful, and indicated that the current set-up will allow for sectioning of materials in a single day, which is much faster than other automated processes. Image segmentation was not possible due to a hardware failure on the microscope, which delayed the project several months. Development of the program will continue over the summer, and the first 3-dimensional models of microstructure produced from microscope images. Once these models have been successfully generated, EBSD analysis will be incorporated to provide additional information about materials’ crystal structure. 7. 2. 1. References Echlin, M. P. [TriBeam System Diagram]. (2012). A New Tribeam System For Three-Dimensional Multimodal Materials Analysis. Review of Scentific Instruments 83.2 Spowart, J. (2006). Automated serial sectioning for 3-D analysis of microstructures. Scripta Materialia, 55(1), 5-10. Graph 1: Consistent error in Z-stage positions with r = -0.998 and error increasing 115 nm/slice Graph 2: Error alternates because of the tolerance set in Runscript, inital fiducial location of (-70 µm, -70 µm)