Publications

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In order to predict material failure accurately, it is critical to have knowledge of deformation physics. Uniquely challenging is determination of the conversion coefficient of plastic work into thermal energy. Here, we examine the heat transfer problem associated with the experimental determination of β in copper and stainless steel. A numerical model of the tensile test sample is used to estimate temperature rises across the mechanical test sample at a variety of convection coefficients, as well as to estimate heat losses to the chamber by conduction and convection. This analysis is performed for stainless steel and copper at multiple environmental conditions. These results are used to examine the relative importance of convection and conduction as heat transfer pathways. The model is additionally used to perform sensitivity analysis on the parameters that will ultimately determine b. These results underscore the importance of accurate determination of convection coefficients and will be used to inform future design of samples and experiments. Finally, an estimation of convection coefficient for an example mechanical test chamber is detailed as a point of reference for the modeling results.

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Physical property measurements including viscosity, density, thermal conductivity, and heat capacity of low-molecular weight polydimethylsiloxane (PDMS) fluids were measured over a wide temperature range (-50°C to 150°C when possible). Properties of blends of 1 cSt and 20 cSt PDMS fluids were also investigated. Uncertainties in the measurements are cited. These measurements will provide greater fidelity predictions of environmental sensing device behavior in hot and cold environments.

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This report summarizes a project in which the authors sought to develop and deploy: (i) experimental techniques to elucidate the complex, multiscale nature of thermal transport in particle-based materials; and (ii) modeling approaches to address current challenges in predicting performance variability of materials (e.g., identifying and characterizing physical- chemical processes and their couplings across multiple length and time scales, modeling information transfer between scales, and statically and dynamically resolving material structure and its evolution during manufacturing and device performance). Experimentally, several capabilities were successfully advanced. As discussed in Chapter 2 a flash diffusivity capability for measuring homogeneous thermal conductivity of pyrotechnic powders (and beyond) was advanced; leading to enhanced characterization of pyrotechnic materials and properties impacting component development. Chapter 4 describes success for the first time, although preliminary, in resolving thermal fields at speeds and spatial scales relevant to energetic components. Chapter 7 summarizes the first ever (as far as the authors know) application of TDTR to actual pyrotechnic materials. This is the first attempt to actually characterize these materials at the interfacial scale. On the modeling side, new capabilities in image processing of experimental microstructures and direct numerical simulation on complicated structures were advanced (see Chapters 3 and 5). In addition, modeling work described in Chapter 8 led to improved prediction of interface thermal conductance from first principles calculations. Toward the second point, for a model system of packed particles, significant headway was made in implementing numerical algorithms and collecting data to justify the approach in terms of highlighting the phenomena at play and pointing the way forward in developing and informing the kind of modeling approach originally envisioned (see Chapter 6). In both cases much more remains to be accomplished.

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Thermal analysts address a wide variety of applications requiring the simulation of radiation heat transfer phenomena. The re are gaps in the currently available modeling capabilities. Addressing these gaps w ould allow for the consideration of additional physics and increase confidence in simulation predictions. This document outlines a five year plan to address the current and future needs of the analyst community with regards to modeling radiation heat tran sfer processes. This plan represents a significant multi - year effort that must be supported on an ongoing basis.

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This paper reports on experimental and numerical investigations of electrically powered MEMS structures operated under different gas pressure and electrical power conditions. The structures studied are boron-doped single crystal silicon-on-insulator (SOI) microbridges that are heated by an electrical current. The microbridges are 85 μm wide, 125 μm tall and 5.5 mm long and lie 2 μm above the substrate. The impact of the narrow gap in the gas phase thermal transport is evaluated by operating the devices under various nitrogen gas pressure conditions, ranging from 625 Torr to ∼1 mTorr - spanning the continuum to noncontinuum gas heat transfer regimes. Raman thermometry is used to obtain spatially-resolved temperature measurements along the length of the device under the various operating conditions. The large dopant concentration (∼4 × 1019 cm-3) within the active silicon layer is found to affect the Raman spectrum used for thermometry via Fano-type interactions, resulting in an asymmetric Raman line shape. With large Raman peak asymmetries, use of the Raman line width as the temperature metric is less reliable as it shows decreased sensitivity to temperature. However, the asymmetry itself, when considered as a fitting parameter, was found to be a reliable indicator of sample temperature. The measured device temperatures are compared to finite element simulations of the structures. Noncontinuum gas phase heat transfer effects are incorporated into the continuum simulations via temperature discontinuities at the solid-gas interface, provided by a model developed from noncontinuum simulation results. Additionally, the impact of the large dopant concentrations is incorporated into the thermal models via a modified thermal conductivity model which considers impurity scattering effects on thermal transport. The simulation and experimental results show reasonable agreement. Copyright © 2012 by ASME.

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