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At least 1,063 records · Page 59

DGEBF epoxy blends for use in the resin impregnation of extremely large composite parts

Large superconducting electromagnets used in fusion reactors utilize a large amount of glass/epoxy composite for electrical insulation and mechanical and thermal strengths. Moreover, the manufacture of these magnets involves wrapping each superconducting cable bundle with dry glass cloth followed by the vacuum-assisted resin transfer molding of the entire magnet. Due to their enormous size (more than 100 tons), it requires more than 40 h for resin impregnation and the subsequent pressure cycles to ensure complete impregnation and removal of any trapped air pockets. Diglycidyl ether of bisphenol F epoxy resin cross-linked with methyltetrahydrophthalic anhydride with an accelerator has been shown to be a good candidate for use in composite parts requiring long impregnation cycles. Viscosity, gel time, and glass transition temperature of four resin-blends of diglycidyl ether of bisphenol F resin system were monitored as a function of time and temperature with an objective to find the blend that provides a working window longer than 40h at low viscosity without lowering its glass transition temperature. A resin-blend in the weight ratios of resin:hardener:accelerator=100:82:0.125 is shown to provide more than 60h at low resin viscosity while maintaining the same glass transition temperature as obtained with previously used resin-blends, based on the results.

36 MATERIALS SCIENCE↗

Catalytic and Transport Behaviors of Model and Porous and Composite Nanostructures

As stressed in the Basic Energy Sciences Advisory Committee (BESAC) Report “New Science for a Secure and Sustainable Energy Future” (December 2008), solving our Nation’s energy challenges will entail more than incremental changes in present materials-related technologies; new, advanced routes to nanostructured materials with transformational properties will be required. Herein we describe the design and fabrication of a hybrid biotic/abiotic membrane reactor that, mimicking natural systems, employs the metalloenzyme, carbonic anhydrase, to separate CO 2 from N 2 with unprecedented purity and rate. The membrane design, synthesis, and operation are based on multiple biomimetic and nanoscale fabrication strategies, nanoscale dimensional features, and nanoscale physical phenomena, for example: 1) Bottom-up self-assembly of a membrane comprising a periodic, aligned, cylindrical nanopore array with 8 nm diameter pores designed to accommodate carbonic anhydrase (CA) enzymes 2) Top-down Atomic Layer Deposition (ALD) and plasma processing of the nanopore array to create 18nm deep (by 8nm in diameter) superhydrophilic pores bounded by hydrophobic/superhydrophobic interfaces 3) Formation of a continuous, defect free, ultra-thin (~18-nm thick) but strong water membrane by capillary condensation within the uniformly-sized, superhydrophilic nanopore array 4) Accommodation of CA within the water filled nanopore array (~2 CAs per hydrophilic pore channel) to achieve an effective CA concentration within the 18-nm thick water membrane over 10X greater than achievable in solution Exposed to a mixture of CO 2 and N 2 this biomimetic membrane rapidly and selectively dissolves CO 2 within the CA filled water nano-channels on the ‘upstream side’ and regenerates CO 2 at the superhydrophobic interface on the ‘downstream’ side. In combination, the high CA concentration and exceptionally short diffusion distances enable rapid and highly selective CO 2 separation from N 2 and H 2 . Our membrane has a combined CO 2 flux and selectivity that exceed by orders of magnitude all existing CO 2 membranes and for the first time meet the US Department of Energy guidelines for CO 2 sequestration technologies. (The performance of our membrane was recognized by an R&D100 Award and the first R&D100 Green Technology Award in 2015 and an issued US Patent in 2017). We believe this membrane could be employed in combination with sequestration to help reduce greenhouse gas emissions and provide a viable, economically feasible pathway to achieve the goals of the 2016 Paris Accord, which aims to maintain a global temperature rise this century less than 2°C above pre-industrial levels. Further this membrane concept could be adapted to other enzymes to accomplish other separations of interest, e.g. H 2 . We also have established processing-structure-property relationships of ultrathin membrane-like monolayer materials that are intrinsically catalytic. Establishing processing-structure-property relationships for monolayer materials is crucial for a vast range of applications spanning optics, catalysis, electronics, and energy. Presently, for MoS 2 , a promising catalyst for artificial photosynthesis, considerable debate surrounds the structure/property relationships of its various allotropes. Using high-resolution transmission electron microscopy supported by density functional theory, we unambiguously solved the structure of MoS 2 monolayers and showed lithium intercalation to direct a preferential transformation of the basal plane from 2H (trigonal prismatic) to 1T’ (clustered Mo). These changes alter the energetics of MoS 2 interactions with hydrogen ((GH), and, with respect to catalysis, the 1T’ transformation renders the normally inert basal plane amenable towards hydrogen adsorption and H 2 evolution achieving Hydrogen Evolution Reaction (HER) catalytic activity comparable to 2H MoS 2 edges on Au(111), one of the most active HER catalysts known.

77 NANOSCIENCE AND NANOTECHNOLOGY↗

Thermal conductivity of comets

The thermal conductivity of two comet models is calculated. Both models assume the comets to be heterogeneous in composition. One model considers the comet to have a nucleus of water-ice mixed with basaltic and meteoritic material in the form of dust and agglomerated particles surrounded by a layer of water-frost. The second model assumes the frost and water-ice layers have sublimated, leaving a porous structure to some depth composed of solid basaltic and meteoritic material with residual gases. K values are calculated as a function of depth, density, temperature and porosity.

Kumar, G. N.↗

Finite-element modeling of layered, anisotropic composite plates and shells: A review of recent research

Finite element papers published in the open literature on the static bending and free vibration of layered, anisotropic, and composite plates and shells are reviewed. A literature review of large-deflection bending and large-amplitude free oscillations of layered composite plates and shells is also presented. Non-finite element literature is cited for continuity of the discussion.

Reddy, J. N.↗

Composite statistical method for modeling wind gusts for aircraft simulation

This paper discusses the application of three statistical methods in combination to model wind gusts for use in aircraft flight simulation. The approach combines principal components analysis, time series analysis and probability distribution model to analyze and simulate wind gust components. Comparisons are given between wind gust components generated by the model and components measured onboard an aircraft.

Schiess, J. R.↗

Composition changes and empirical models

Empirical model descriptions of the response of the neutral thermosphere to magnetic activity have become increasingly sophisticated over the last two decades. The latest CIRA model (MSIS-86) includes a dependence of the thermospheric response to magnetic activity on altitude, latitude, local time, season, longitude, UT, and time history of magnetic activity. A primary assumption is that density changes are directly related to the measured magnetic activity and the goal is for the model to be representative of the typical or average response for any given level of magnetic activity under specified ancillary conditions. Unfortunately, available measurements for the larger storms are too sparse to give good averages and storm response may not be uniquely represented by current magnetic indices. Point by point comparisons with the MSIS-86 model have standard deviations of 20 percent for 0 and 30 percent for N2 and He at high latitudes during storm conditions.

Hedin, A. E.↗

Model of brittle matrix composite toughening based on discrete fiber reinforcement

An analytical approach for the analysis of the effectiveness of fiber reinforcement in brittle matrix composites is presented. The analytical method allows consideration of discrete fiber distribution and examination of the development of crack growth parameters on microscale. The problem associated with the bridging zone development is addressed here; therefore, the bridging zone is considered to be smaller than the main preexisting crack, and the small scale approach is used. The mechanics of the reinforcement is accurately accounted for in the process zone of a growing crack. Closed form solutions characterizing the initial failure process are presented for linear and nonlinear force - fiber pullout displacement relationships. The implicit exact solution for the extended bridging zone is presented as well.

Rubinstein, Asher A.↗

Progressive Damage Analysis of Laminated Composite (PDALC)-A Computational Model Implemented in the NASA COMET Finite Element Code

A method for analysis of progressive failure in the Computational Structural Mechanics Testbed is presented in this report. The relationship employed in this analysis describes the matrix crack damage and fiber fracture via kinematics-based volume-averaged variables. Damage accumulation during monotonic and cyclic loads is predicted by damage evolution laws for tensile load conditions. The implementation of this damage model required the development of two testbed processors. While this report concentrates on the theory and usage of these processors, a complete list of all testbed processors and inputs that are required for this analysis are included. Sample calculations for laminates subjected to monotonic and cyclic loads were performed to illustrate the damage accumulation, stress redistribution, and changes to the global response that occur during the load history. Residual strength predictions made with this information compared favorably with experimental measurements.

Lo, David C.↗

Probabilistic Modeling of Ceramic Matrix Composite Strength

Uncertainties associated with the primitive random variables such as manufacturing process (processing temperature, fiber volume ratio, void volume ratio), constituent properties (fiber, matrix and interface), and geometric parameters (ply thickness, interphase thickness) have been simulated to quantify the scatter in the first matrix cracking strength (FMCS) and the ultimate tensile strength of SCS-6/RBSN (SiC fiber (SCS-6) reinforced reaction-bonded silicon nitride composite) ceramic matrix composite laminate at room temperature. Cumulative probability distribution function for the FMCS and ultimate tensile strength at room temperature (RT) of (0)(sub 8), (0(sub 2)/90(sub 2), and (+/-45(sub 2))(sub S) laminates have been simulated and the sensitivity of primitive variables to the respective strengths have been quantified. Computationally predicted scatter of the strengths for a uniaxial laminate have been compared with those from limited experimental data. Also the experimental procedure used in the tests has been described briefly. Results show a very good agreement between the computational simulation and the experimental data. Dominating failure modes in (0)(sub 8), (0/90)(sub s) and (+/-45)(sub S) laminates have been identified. Results indicate that the first matrix cracking strength for the (0)(sub S), and (0/90)(sub S) laminates is sensitive to the thermal properties, modulus and strengths of both the fiber and matrix whereas the ultimate tensile strength is sensitive to the fiber strength and the fiber volume ratio. In the case of a (+/-45)(sub S), laminate, both the FMCS and the ultimate tensile strengths have a small scatter range and are sensitive to the fiber tensile strength as well as the fiber volume ratio.

Shan, Ashwin R.↗

Progressive Damage Analysis of Laminated Composite (PDALC) (A Computational Model Implemented in the NASA COMET Finite Element Code)

A method for analysis of progressive failure in the Computational Structural Mechanics Testbed is presented in this report. The relationship employed in this analysis describes the matrix crack damage and fiber fracture via kinematics-based volume-averaged damage variables. Damage accumulation during monotonic and cyclic loads is predicted by damage evolution laws for tensile load conditions. The implementation of this damage model required the development of two testbed processors. While this report concentrates on the theory and usage of these processors, a complete listing of all testbed processors and inputs that are required for this analysis are included. Sample calculations for laminates subjected to monotonic and cyclic loads were performed to illustrate the damage accumulation, stress redistribution, and changes to the global response that occurs during the loading history. Residual strength predictions made with this information compared favorably with experimental measurements.

Coats, Timothy W.↗

Design Tool Developed for Probabilistic Modeling of Ceramic Matrix Composite Strength

Ceramic matrix composites are being evaluated as candidate materials for many high temperature applications such as engine combustor liners for the High-Speed Civil Transport (HSCT). They are required to have an assured life of several thousand hours. Estimating the reliability of these components is quite a complex process and requires knowledge of the uncertainties that occur at various scales. The properties of ceramic matrix composites (CMC) are known to display a considerable amount of scatter due to variations in fiber/matrix properties, interphase/coating properties, bonding, amount of matrix voids, and many geometry- and fabrication-related parameters such as ply thickness and ply orientations. The objective of this research effort is to account for these uncertainties in a formal way by probabilistically analyzing both the stiffness- and strength related properties of CMC's. In current deterministic approaches, uncertainties are usually accounted for by safety factors. This approach often yields overly conservative designs, thereby reducing the potential of many advanced composite materials.

Murthy, Pappu L. N.↗

Simulation of Delamination Under High Cycle Fatigue in Composite Materials Using Cohesive Models

A new thermodynamically consistent damage model is proposed for the simulation of high-cycle fatigue crack growth. The basis for the formulation is an interfacial degradation law that links Fracture Mechanics and Damage Mechanics to relate the evolution of the damage variable, d, with the crack growth rate da/dN. The damage state is a function of the loading conditions (R and (Delta)G) as well as the experimentally-determined crack growth rates for the material. The formulation ensures that the experimental results can be reproduced by the analysis without the need of additional adjustment parameters.

Camanho, Pedro P.↗

Effects of a Tantalum Addition on the Morphological and Compositional Evolutions of a Model Ni-AL-Cr Superalloy

The effects of a 2.0 at.% addition of Ta to a model Ni-Al-Cr superalloy aged at 1073 K are assessed using scanning electron microscopy and atom-probe tomography. The addition of Ta results in appreciable strengthening, and the morphology is found to evolve from a bimodal distribution of spheroidal precipitates, to cuboidal precipitates aligned along the elastically soft <001>-type directions. Tantalum is observed to partition preferentially to the gamma -precipitate phase and decreases the mobility of Ni in the gamma- matrix sufficiently to cause an accumulation of Ni on the gamma-matrix side of the gamma -precipitate/gamma-matrix heterophase interface.

Booth-Morrison, Christopher↗