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Facile measurement of single-crystal elastic constants from polycrystalline samples

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摘要 Elastic constants are among the most fundamental properties of materials.Simulations of microstructural evolution and constitutive/micro-mechanistic modeling of materials properties require elastic constants that are predominately measured from single crystals that are labor intensive to grow.A facile technique is developed to measure elastic constants from polycrystalline samples.The technique is based upon measurements of the surface acoustic wave velocities with the help of a polydimethylsiloxane film grating that is placed on a polished surface of a polycrystalline sample to confine surface acoustic waves that are induced by a femtosecond laser and measured using pump-probe time-domain thermoreflectance.Electron backscatter diffraction is employed to measure the crystallographic orientation along which the surface acoustic wave propagates in each grain(perpendicular to the polydimethylsiloxane grating).Such measurements are performed on several grains.A robust mathematical solution was developed to compute the surface acoustic wave velocity along any crystallographic orientation of any crystal structure with given elastic constants and density.By inputting various starting values of elastic constants to compute the surface acoustic wave velocities to match experimental measurements in several distinct crystallographic orientations using an optimization algorithm,accurate elastic constant values have been obtained from seven polycrystalline metal samples to be within 6.8% of single-crystal measurements.This new technique can help change the current scenario that experimentally measured elastic constants are available for only about 1% of the estimated 160,000 distinct solid compounds,not to mention the significant need for elastic constants of various solid solution compositions that are the base of structural materials.
出处 《npj Computational Materials》 SCIE EI 2017年第1期325-332,共8页 计算材料学(英文)
基金 funded by U.S.National Science Foundation under grant number NSF-DMR-1237577.
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