The Elasticity Coefficients Measurement of Human Dentin Based on RUS

Joint Authors

Fan, Fan
Feng, Dandan
Wang, Rui
Zhang, Qiang
Niu, Haijun

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-04-30

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine

Abstract EN

This paper proposed to take advantages of resonant ultrasound spectroscopy (RUS) to measure the mechanical properties of human dentin specimen.

The resonant spectroscopy of the dentin specimen was obtained between the frequency bands 155 and 575 kHz, and resonant frequencies were extracted by linear predictive filter and then by Levenberg-Marquardt method.

By inverse problem approach, 13 experimental resonant frequencies progressively matched to the first 30 orders of theoretical resonant frequencies calculated by Lagrangian variational method.

The full second-order elastic tensor of dentin specimen was adjusted.

The whole set of human dentin engineering moduli, including Young’s moduli (E11=22.641 GPa, E33=13.637 GPa), shear moduli (G12=10.608 GPa, G23=7.742 Gpa), and Poisson’s ratios (ν12=0.067, ν31=0.378), were finally calculated.

This study demonstrates that RUS can be successfully adapted to measure the mechanical properties of low quality factor biomaterials.

American Psychological Association (APA)

Fan, Fan& Feng, Dandan& Wang, Rui& Zhang, Qiang& Niu, Haijun. 2017. The Elasticity Coefficients Measurement of Human Dentin Based on RUS. BioMed Research International،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1138746

Modern Language Association (MLA)

Fan, Fan…[et al.]. The Elasticity Coefficients Measurement of Human Dentin Based on RUS. BioMed Research International No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1138746

American Medical Association (AMA)

Fan, Fan& Feng, Dandan& Wang, Rui& Zhang, Qiang& Niu, Haijun. The Elasticity Coefficients Measurement of Human Dentin Based on RUS. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1138746

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1138746