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A New Femtosecond Laser-Based 3D Tomography Technique.

dc.contributor.authorEchlin, McLean P.en_US
dc.date.accessioned2012-01-26T20:03:55Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2012-01-26T20:03:55Z
dc.date.issued2011en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/89731
dc.description.abstractTomographic imaging has dramatically changed science, most notably in the fields of medicine and biology, by producing 3D views of structures which are too complex to understand in any other way. Current tomographic techniques require extensive time both for post-processing and data collection. Femtosecond laser based tomographic techniques have been developed in both standard atmosphere (femtosecond laser-based serial sectioning technique - FSLSS) and in vacuum (Tri-Beam System) for the fast collection (10^5 μm^3/s) of mm^3 sized 3D datasets. Both techniques use femtosecond laser pulses to selectively remove layer-by-layer areas of material with low collateral damage and a negligible heat affected zone. To the authors knowledge, femtosecond lasers have never been used to serial section and these techniques have been entirely and uniquely developed by the author and his collaborators at the University of Michigan and University of California Santa Barbara. The FSLSS was applied to measure the 3D distribution of TiN particles in a 4330 steel. Single pulse ablation morphologies and rates were measured and collected from literature. Simultaneous two-phase ablation of TiN and steel matrix was shown to occur at fluences of 0.9-2 J/cm^2. Laser scanning protocols were developed minimizing surface roughness to 0.1-0.4 μm for laser-based sectioning. The FSLSS technique was used to section and 3D reconstruct titanium nitride(TiN) containing 4330 steel. Statistical analysis of 3D TiN particle sizes, distribution parameters, and particle density were measured. A methodology was developed to use the 3D datasets to produce statistical volume elements (SVEs) for toughness modeling. Six FSLSS TiN datasets were sub-sampled into 48 SVEs for statistical analysis and toughness modeling using the Rice-Tracey and Garrison-Moody models. A two-parameter Weibull analysis was performed and variability in the toughness data agreed well with Ruggieri et al. bulk toughness measurements. The Tri-Beam system combines the benefits of laser based material removal (speed, low-damage, automated) with detectors that collect chemical, structural, and topological information. Multi-modal sectioning information was collected after many laser scanning passes demonstrating the capability of the Tri-Beam system.en_US
dc.language.isoen_USen_US
dc.subjectUltrafast Lasersen_US
dc.subjectFemtosecond Lasersen_US
dc.subjectTomographyen_US
dc.subjectSerial Sectioningen_US
dc.subjectToughnessen_US
dc.subjectSteelen_US
dc.titleA New Femtosecond Laser-Based 3D Tomography Technique.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineMaterials Science and Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberJones, J. Wayneen_US
dc.contributor.committeememberPollock, Tresa M.en_US
dc.contributor.committeememberDaly, Samantha Hayesen_US
dc.contributor.committeememberYalisove, Steven M.en_US
dc.subject.hlbsecondlevelMaterials Science and Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/89731/1/mechlin_1.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/89731/2/mechlin_2.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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