Presentation is loading. Please wait.

Presentation is loading. Please wait.

Gary D. Seidel Virginia Polytechnic Institute and State University Dimitris C. Lagoudas & Piyush R. Thakre Texas A&M University Sarah-Jane V. Frankland.

Similar presentations


Presentation on theme: "Gary D. Seidel Virginia Polytechnic Institute and State University Dimitris C. Lagoudas & Piyush R. Thakre Texas A&M University Sarah-Jane V. Frankland."— Presentation transcript:

1 Gary D. Seidel Virginia Polytechnic Institute and State University Dimitris C. Lagoudas & Piyush R. Thakre Texas A&M University Sarah-Jane V. Frankland & Thomas C. Clancy National Institute of Aerospace Jiang Zhu NanoRidge Jaret C. Riddick U.S. Army Research Laboratory Micromechanics Modeling of the Elastic and Thermal Properties of Carbon Nanotube-Epoxy Nanocomposites and Unidirectional Hybrid Laminates Gary D. Seidel Virginia Polytechnic Institute and State University Dimitris C. Lagoudas & Piyush R. Thakre Texas A&M University Jaret C. Riddick U.S. Army Research Laboratory Sarah-Jane V. Frankland & Thomas C. Clancy National Institute of Aerospace Jiang Zhu NanoRidge 45th Technical Meeting of the Society of Engineering Science Multiscale Modeling and Characterization of Nano-structured Polymer Composites Session Urbana-Champaign, Illinois October 12th-15th 2008

2 Aircraft Structural Composites: Potential Applications for Nanocomposites
Aircraft Multifunctional Structural Components: “Boeing has announced that as much as 50 percent of the primary structure -- including the fuselage and wing -- on the 787 will be made of composite materials.” “For example, the team is looking at incorporating health-monitoring systems that will allow the airplane to self-monitor and report maintenance requirements to ground-based computer systems.” Use of nanocomposites for improved fracture toughness, electrostatic discharge, and damage detection in carbon fiber composites Boeing Applications of Nanocomposites Nanocomposites vs Stitching: can’t compute with carbon fiber stiffness, but surface to volume ratio means that you can significantly modify resin material with a small amount of nanomaterial while retaining mechanical properties perhaps adding multifunctionality. Boeing

3 Motivation For Carbon Nanotube Nanocomposites in Structural Composites
High modulus and strength to weight ratios, large aspect ratio make CNTs attractive as reinforcing material Boeing 787 Electrical and thermal properties of CNTs has potential to impart multifunctionality to composites Surface-to-Volume Ratio implies large impact of CNT properties from a small amount of nanomaterial NASA ARES Mars Aircraft Applications in terms of engineering design require large scale production and reliable estimates material properties from measurement and modeling Broad interest, how this pertains to fix wing subsonic. Broad Motivation Nanocomposites (Cheaply explore the design space with reliable models) q =30o q=0o q Grams SWNT   90wt% SWNT   50wt%  MWNT  <8nm >50nm 10 $1,350 $300 $275 $75 100 $8,500 $2,250 $1,500 $400 1KG $75,000 $30,000 $3,500 $900

4 Pristine SWCNTs (bundle)
Material System: CNT Nanocomposite Enriched Unidirectional Carbon Fiber Composites Pristine SWCNTs (bundle) 20 nm HiPCO Produced Pristine Single-Wall Carbon Nanotubes (Amide-functionalized SWCNTs also considered) SWCNTs are prepared for dispersion in the toughened epoxy RS47 1μm CNT bundles Carbon Fiber SWCNTs are sprayed on RS47 prepreg forming CNT-RS47 nanocomposite region around carbon fibers IM7 Carbon Fiber in micron scale picture, but wanted the idea. Would like more details here (radii, length, spray technique, fiber types, fiber volume fraction) Carbon Fibers Obtain Unidirectional Carbon Fiber Composite with Nanocomposite-Coated Carbon Fibers

5 Identifying Relevant Length Scales
Radial distance rIV rIII CNT vol frac Vo Carbon Fibers Composite Cylinder Model: Effective Unidirectional Lamina Properties Carbon Fiber Matrix Lamina RVE cross-section Randomly Oriented CNTs in Interphase Regions CNT Molecular Dynamics CNT-Epoxy RVE Molecular Dynamics: Effective Nanotube and Nanotube Polymer Interphase Micromechanics Orientation Averaging: Randomly Oriented Effective Nanotubes Top Down Visualization Bottom Up Modeling

6 Identifying MD Input for Micromechancis Modeling
DGEBA/DDS Epoxy DGEBF/DDS Taken as approximation of RS47 Epoxy without the toughener. May have some difficulty explaining why shear modulus in nanotube direction is lower than the matrix…infinitely long? Small increase in mu23 demonstrates the weak interaction between nanotube and epoxy? Comes from trying to make results consistent. Factor or 2 not in C44…has 2 Epsilon. The volume fraction of CNT corresponds to an outer radius of 4.58 nm and therefore a 3.58 nm thick epoxy layer surrounding the nanotube (assuming CNT radius of 1nm). Sarah has amide functionalized MD. Sarah wants to do amine. DGEBA/DDS Epoxy with Nanotube MD by Sarah-Jane Frankland 4.76 vol % NT

7 Nanocomposite Layer Effective Nanotube Volume Fraction Distribution
Decreasing Volume Fraction Distributions Increasing Volume Fraction Distributions Effective Nanotube Volume Fraction in Lamina Effective Nanotube Volume Fraction in Lamina 0.9% 2.0% 1.5% 0.4% 1.1% 0.1%

8 Accounting for Random Orientation of Effective Nanotubes
Randomly Oriented CNTs in Interphase Regions Treating each orientation of K orientations as a separate phase: If randomly oriented, averaging over all possible orientations: Where all of the quantities in the local effective nanotube coordinate system have been expressed in the global coordinate system using Euler angle rotations. And the concentration tensor is determined using a Mori-Tanaka approach where

9 Material Property Distributions
Distributions Corresponding to Decreasing Volume Fraction Distributions Distributions Corresponding to Increasing Volume Fraction Distributions

10 Composite Cylinders Property Distribution Approximations
Epoxy Matrix Nanocomposite Enriched Region Carbon Fiber Epoxy Matrix 2.97 GPa Carbon Fiber 279 GPa Nanocomposite Enriched Region

11 Composite Cylinders Property Distribution Approximations
Distributions Corresponding to Decreasing Volume Fraction Distributions Distributions Corresponding to Increasing Volume Fraction Distributions

12 Multi-Layer Generalized Self-Consistent Composite Cylinder: Bulk Modulus
Effective Material CCA In-Plane Bulk Modulus: Epoxy Matrix Material Layer Displacement: Nanocomposite Interphase Carbon Fiber Boundary Conditions: Radial Displacement Bounded Displacement at Origin Matching Conditions: In-Plane Bulk Modulus: Energy Equivalency Hashin and Rosen, J. of Apld. Mech., 1964. Christensen and Lo, J of Mech & Phys Solids, 1979. Herve and Zaoui, Int. J. of Eng Sci, 1995. Carman et al., J. of Comp Mats., 1993. Seidel and Lagoudas. Mech of Mats 2006. Point of Slide: Sample boundary value problem Hashin and Rosen, J. of Apld. Mech., 1964. Christensen, Mechanics of Composite Materials Krieger Publishing Company, 1979. G.D Seidel & D.C. Lagoudas. 2005, Mechanics of Materials, In Press.

13 In-Plane Bulk Modulus of Carbon Fiber Laminae
At a Carbon Fiber Volume Fraction of 60% 2.0% 1.5% Effective Nanotube Volume Fraction in Lamina 1.1% 0.9% 0.4% 0.1% Would be good to have compared these results to idealized nanotube model with perfect interface. 2.57% 1.19% 0.29% 5.23% 4.19% 2.89% Also Provided are % Differences Relative to No Nanocomposite Case

14 MD Results for Interfacial Thermal Resistance with Functionalization
Kapitza Resistance: Identified as large impedance of thermal phonons across an interface as a result of acoustic mismatch Orders of magnitude difference in elastic properties between CNT and polymer indicative of acoustic mismatch Defined in terms of a temperature difference across an interface of area A MD by Tom Clancy

15 Generalized Self Consistent Composite Cylinder for Thermal Conductivity
Assemblage Strain Concentration Tensor: Total Assemblage Average Strain Over CNT+Interphase: Composite Cylinder Assemblage Average Strain Over Total: Assemblage BVPs: Axial Conduction: Layer Potential: Boundary Conditions: Tell for cnt idealized with 2000 W/mK annular conductivity Transverse Conduction: Layer Potential: Boundary Conditions: Lateral Heat Flow Insulated Interior

16 Incorporating Interfacial Thermal Resistance in GCCM
Effective Material Matrix Material Here we propose treating the Kapitza Resistance in the Generalized Self-Consistent Composite Cylinder Model through the inclusion of a thin interphase region. Kapitza Layer CNT For an N=3 Composite Cylinder Model, layer 1 is the CNT, layer 2, the interphase, and layer 3 the matrix. The interphase conductivity is determined from a flux condition resembling a convection boundary condition: Where β is the Kapitza Conductivity (i.e., the inverse of the Kapitza Resistance). The constants (A and B) are determined through the application of the boundary and matching conditions for the entire composite cylinder assemblage. Seidel and Lagoudas, JAM, 2008

17 End Effects Associated with Interfacial Thermal Resistance
The Axial Conductivity of CNT Annulus is reduced as if capped by an interphase of thickness, t. Conductivity of caps determined from Lateral Interface Thermal Resistance The cap thickness t is identical to the Interphase thickness Thickness goes to zero returns CNT conductivity Conductivity goes to zero returns fully insulated CNT Conductivity goes to infinity returns Seidel and Lagoudas, JAM, 2008

18 Material Property Distributions
Decreasing Vf Distributions Corresponding to Varying Grafting Densities Increasing Vf Distributions Corresponding to Varying Grafting Densities

19 Composite Cylinders Property Distribution Approximations
Epoxy Matrix Nanocomposite Enriched Region Carbon Fiber Epoxy Matrix 0.16 W/mK Carbon Fiber 15 W/mK Nanocomposite Enriched Region

20 Thermal Conductivity of Carbon Fiber Laminae
At a Carbon Fiber Volume Fraction of 60% 140% 57% 52% 25% 22% 11% Would be good to have compared these results to idealized nanotube model with perfect interface. Decreasing alpha = 1.45 Increasing alpha = 0.02 2.0% 0.9% Effective Nanotube Volume Fraction in Lamina Also Provided are % Differences Relative to No Nanocomposite Case

21 Summary and Conclusions
A multiscale model has been developed which uses input from MD simulations to account for nanoscale interface effects, and is applied toward the prediction of hybrid composite laminate properties. The model indicates that inclusion of a small amount of nanocomposite material around the carbon fiber can have a small impact on the transverse properties of the lamina The model indicates that inclusion of a small amount of nanocomposite material around the carbon fiber can have a very significant impact on the transverse conductivity, particularly when the nanotubes are functionalized

22 Acknowledgements NASA Research Agreement (NRA) #NNX07AB86A - Multiscale Modeling and Characterization of Nano-structured Polymer Composites Mr. Jeff Cowley – Undergraduate Research Assistant at Texas A&M Gary Don Seidel Assistant Professor Aerospace and Ocean Engineering Virginia Polytechnic Institute and State University Web:

23 Comparison to Initial Characterization Efforts
2.8-32% 3% 1.6% 11.5% Bulk Modulus can typically be 20-50% larger than E22; here it is 25% Sample Preparation and Characterization by Piyush Thakre and Jiang Zhu


Download ppt "Gary D. Seidel Virginia Polytechnic Institute and State University Dimitris C. Lagoudas & Piyush R. Thakre Texas A&M University Sarah-Jane V. Frankland."

Similar presentations


Ads by Google