Materials, Mechanical Characterization & Manufacturing Overview - PowerPoint PPT Presentation

Materials, Mechanical Characterization & Manufacturing Materials, Mechanical Characterization & Manufacturing Overview David R. Veazie, Ph.D. P.E., Professor and Director Southern Polytechnic State University Center for Advanced Materials Research and Education - SPSU Materials and Mechanical Testing Laboratories - CAU Test and Evaluation Research Opportunities Workshop July 26 -28, 2012

Outline  Material & Manufacturing Infrastructure  Nanotechnology & Functional Materials  Novel Nanoscale Characterization Equipment  Full-Field Deformation and Structural Characterization AFOSR DURIP – Field Emission SEM   Energetic Materials  Advanced Material Development and Testing  Novel Structural Testing and Implementation Advanced Power & Energy Generation   Computational & Multi-Scale Modeling

Materials & Manufacturing Infrastructure Equipment and Instrumentation – Center of excellence in composite manufacturing – Field Emission Scanning Electron Microscope – Axial and axial-torsion servohydraulic test frames – Elevated temperature creep frames (composites) – Ultrasonic NDI and environmental chambers – Melt and capillary rheometry, extrusion and thermal imaging, compression molding, and thermoforming – RTM, VARTM, autoclave, walk-in oven, 30T press – Thermal analysis (TGA, DSC, TMA, DMA) – Chemical analysis (NMR, FT-IR, Raman, Wet Lab) – Microscopy (2 AFM's, TEM, X-Ray Diff) – Vibrational and florescence spectroscopy

Materials & Manufacturing Infrastructure Faculty, Staff and Students (Last 3 Years) – 6 Faculty and 4 Full-Time Staff – 50 Supported Students (Engr. & Chemistry) – 18 Masters Graduates – 5 Ph.D. Graduates and 8 Ph.D. Candidates Productivity (Last 6 Years) – Over 100 Refereed Publications in Journals* – Over 250 Conference Proceedings and Presentations – 3/4 of Publications Co-Authored by Students – 5 National Publication Student Awards – Generated over $4 Million in External Research Funds – Over $2.5 Million in Equipment Purchased – Lab Maintains Upgrades & Calibrations * Some Government and Industry research restricts open literature publications

(AFOSR DURIP) Thermal Field Emission SEM Veazie (FA9550-11-1-0323) - Southern Polytech Dr. David Veazie Dr. Eric Mintz A JOEL JSF-7600F Field Emission SEM was Copper Zinc Tin Sulfide (CZTS) installed in April 2012 at Southern Polytechnic State thin films were prepared by a University. This SEM currently supports several non-vacuum liquid-based coating method enabling fabrication of projects including: Characterization of Nanoparticle high-efficiency, low cost and Reinforced Resins for Readily Processable, High SEM of separated graphene sheets with wrinkling toxicity CZTS solar cell devices. Temperature, Low Density Composites (DoD A particle solution (slurry) was W911NF-12-1-0084) and Characterization of developed using the CZTS Copper Zinc Tin Sulfide (CZTS) for Photovoltaics constituents, varying the range of (NSF 1125775). composition ratios to achieve a stable stoichiometric kesterite Deidra Hodges CZTS crystal structure. SEM of 0.3 wt% graphite/PETI-298, clearly confirming the dispersed graphene. SEM of stoichiometric CZTS confirming the formation of a tetragonal crystal lattice structure.

Novel Materials & Characterization Programs to Support Materials Research for Aerospace Industry • Multiple programs investigating the processing and properties of nano- composites • Self Healing Composites • Develop and characterize advanced composites which exhibit self-repairing properties • Thermal and mechanical analysis of nano-structured thermoset polymers • RTM composite process trials • Georgia Research Alliance Innovation Grants • Develop and deploy technologies that lead to growing state’s economy • LM Aero, AFRL and NASA sponsored developments

Nanotechnology & Functional Materials Objective • Multiple programs investigating the processing and properties of nano- composites 10000000 eta* (P) G' (Pa) 1000000 G'' (Pa) 100000 Property 10000 1000 100 10 1 0 500 1000 1500 2000 2500 3000 Time (s)

Novel Nanoscale Characterization Equipment Micro-Nano Test Frame (Patent-Pending) AFM Supporting Plate Exchangeable Sample Load Cell Micro-translator XY translation Stage -Better load cell resolution (0.001 N at full scale) with ultra-fine load stepping (1/1028 revolution) m m -More accurate gripping of thin structures (No sample twisting) -Micro/Nanoscale strain measurement with AFM (Atomic Force Microscope) -Scan length: 100 m m for use with microfabricated reference marks for nano-scale strain measurement -In-situ image monitoring of microstructure (characterize changes due to mechanical and thermal loading such as surface morphology, crack propagation, etc.

Advanced Material Development and Testing Metal Polymer Gap Filler Development -Successes on boot extrusion leads to study of innovative gap filler concept -Developed low cost, flexible and lightweight gap filler to replace conductive caulk -Highly successful IRAD sponsored program transitioned to production qualification -F/A-22 Door Edge Protection potential production supplier

Energetic Materials - AFRL Strain Energy Rearranging Strain Energy Rearranging o Stiff particles in soft matrix Stiff particles in soft matrix o   2 2 1 1 1 1 o Different particle types Different particle types     o       2 U dV E dV or U dV E dV o Particle contact Particle contact o 2 2 2 2 E U V V V V o Particle chains Particle chains o o Particle clustering Particle clustering o Including Interparticle Interparticle Friction Energy Loss Friction Energy Loss Including  2 1   U DMA U E dV DMA   2 U U V DMA Friction 1    U dV Adapted from slide by B. White TMS 2010 DMA 2 V Test Material Test Method 5.0e+6 Preference Volume to Measure DMA Measured Stress DMA Measured Strain DMA Measured Strain 0.052 (mm 3 ) Order Elastic Modulus 4.5e+6 1 *49.1 Miniature SHPB 0.050 2 *175.9 SHPB 4.0e+6 Stress  (Pa) 3 190.0 Ultrasonic and Vibratory Strain (%) 0.048 4 520.2 Dynamic Mechanical Analysis 3.5e+6 5 *2782.9 Impact and Taylor Rod 0.046 3.0e+6 6 3217.6 Compression 7 3242.9 Hardness 0.044 2.5e+6 8 4129.0 Flexure Decreasing Volume Fraction 9 7258.1 Miniature Tension 0.042 Decreasing Volume Fraction 2.0e+6 10 18097.5 Tension ) ) ) ) ) ) ) m m m ) m m m m m ) m ) m m ) m ) m m m m m m m m m m) m m) m m) m m) m m) m m) m m m m   m m  m  m m m U Friction * * U U Friction Energy Tan Particles dF    Friction Friction Particle Damping V F Young's Modulus V 11 DMA Data Particle Friction Energy Average DMA Measured Tangential Compliance -1 10 DMA Friction Model 3.0e-6       Compression Data m     5 3    2 3 2   9 P T 5 T T (Averaged over Particle Volume Fractions, V f )              Tangential Stiffness  T  d  (Pa) E 1  1 1  1 1  1 1  7.0e+5 9 m m m          10 a P 6 P P 1 3          2.5e-6 d T    E (GPa)  1  Friction Energy (N-m) m dT 4 a  N  8 2.0e-6 6.0e+5 7 1.5e-6 5.0e+5 6 1.0e-6  2 1   E dV 5   2 V U U DMA Friction 4.0e+5 Decreasing 5.0e-7 Decreasing Volume Fraction 4 Volume Fraction Decreasing Volume Fraction 0.0 3.0e+5 40% Al (50 m m) 40% Al (5 m m) 40% Al (50 m m) 20% Al (50 m m) 20% Al (5 m m) 20% Al (50 m m) 40% Al (5 m m) 20% Al (5 m m) 40% Al (50 m m) 40% Al (5 m m) 40% Al (50 m m) 20% Al (50 m m) 20% Al (5 m m) 20% Al (50 m m) 10% Ni (44 m m) 10% Ni (44 m m) 10% Ni (44 m m) 10% Ni (44 m m) 40% Al (5 m m) 20% Al (5 m m) ) ) ) ) ) ) 10% Ni (44 m m) 10% Ni (44 m m) 10% Ni (44 m m) 10% Ni (44 m m) ) m m m ) m m m m m m ) m ) m m m ) m ) m m m m m m m m 5 0 m m 5 0 5 0 5 0 5 l ( 5 5 l ( 5 l ( 4 4 A l ( l ( 4 4 A l ( A A l ( A A A l ( A 4 4 4 4 i ( i ( i ( i ( N N % N N % % % % % % % 0 0 0 % % 0 % % 0 0 0 0 4 2 4 4 4 2 2 2 0 0 0 0 1 1 1 1

Advanced Power & Energy Generation Micro-Gas Turbine Engine Power MEMS Technology

Computational & Multi-Scale Modeling Objective • Develop multi-scale technology to link molecular scale to structural scale Computational Computational Multi-Scale Model Chemistry Structural Mechanics Composite Polymer Meso-scale Randomness Structural Chemistry Stochastic Response Mechanics Experimental Micro-Level Parameters Modeling