scholarly journals Resonant ultrasound spectroscopy: Sensitivity analysis for anisotropic materials with hexagonal symmetry

2020 ◽  
Vol 148 (4) ◽  
pp. 2621-2622
Author(s):  
Christopher L. Sevigney ◽  
Farhad Farzbod
2000 ◽  
Vol 47 (3) ◽  
pp. 559-564 ◽  
Author(s):  
Yong-Moo Cheong ◽  
Hyun-Kyu Jung ◽  
Young-Sang Joo ◽  
Sung-Soo Kim ◽  
Young-Suk Kim

2021 ◽  
pp. 1-20
Author(s):  
Christopher Sevigney ◽  
Onome Scott-Emuakpor ◽  
Farhad Farzbod

Abstract Resonance ultrasound spectroscopy (RUS) is a non-destructive technique for evaluating elastic and an-elastic material properties. The frequencies of free vibrations for a carefully crafted sample are measured, and material properties can be extracted from this. In one popular application, the determination of monocrystal elasticity, the results are not always reliable. In some cases, the resonant frequencies are insensitive to changes in certain elastic constants or their linear combinations. Previous work has been done to characterize these sensitivity issues in materials with isotropic and cubic symmetry. This work examines the sensitivity of elastic constant measurements by the RUS method for materials with hexagonal symmetry, such as titanium-diboride. We investigate the reliability of RUS data and explore supplemental measurements to obtain an accurate and complete set of elastic constants.


2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Farhad Farzbod ◽  
Onome E. Scott-Emuakpor

Resonant ultrasound spectroscopy (RUS) is an experimental method to measure elastic and anelastic properties of materials. The RUS experiment is conducted by exciting a specimen with a simple geometry and measuring resonant frequencies. From the resonant behaviors, both elastic and anelastic properties of the sample material can be extracted. This paper investigates the sensitivities of measured resonant frequencies to changes in elastic constants for an isotropic material and anisotropic material with cubic symmetry. Also under investigation is whether different specimen geometries increase the sensitivity of RUS; in other words, a path for optimizing the reliability of RUS data is explored.


2015 ◽  
Vol 101 ◽  
pp. 24-27 ◽  
Author(s):  
Martina Thomasová ◽  
Petr Sedlák ◽  
Hanuš Seiner ◽  
Michaela Janovská ◽  
Meni Kabla ◽  
...  

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