Paper
17 April 2007 Nonlinear electric reaction arising in dry bone subjected to 4-point bending
Go Murasawa, Hideo Cho, Kazuma Ogawa
Author Affiliations +
Abstract
Bone is a smart, self-adaptive and also partly self-repairing tissue. In recent years, many researchers seek to find how to give the effective mechanical stimulation to bone, because it is the predominant loading that determines the bone shape and macroscopic structure. However, the trial of regeneration of bone is still under way. On the other hand, it has been known that electrical potential generates from bone by mechanical stimulation (Yasuda, 1977; Williams, 1982; Starkebaum, 1979; Cochran, 1968; Lanyon, 1977; Salzstein, 1987a,b; Friedenberg, 1966). This is called "stress-generated potential (SGP)". The process of information transfer between "strain" and "cells" is not still clear. But, there is some possibility that SGP has something to do with the process of information transfer. If the electrical potential is more clear under some mechanical loadings, we will be able to regenerate bone artificially and freely. Therefore, it is important to investigate SGP in detail. The aim of present study is to investigate the electric reaction arising in dry bone subjected to mechanical loadings at high amplitude and low frequency strain. Firstly, specimen is fabricated from femur of cow. Next, the speeds of wave propagation in bone are tried to measure by laser ultra sonic technique and wavelet transform, because these have relationship with bone density. Secondary, 4-point bending test is conducted up to fracture. Then, electric reaction arising in bone is measured during loading. Finally, cyclic 4-point bending tests are conducted to investigate the electric reaction arising in bone at low frequency strain.
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Go Murasawa, Hideo Cho, and Kazuma Ogawa "Nonlinear electric reaction arising in dry bone subjected to 4-point bending", Proc. SPIE 6526, Behavior and Mechanics of Multifunctional and Composite Materials 2007, 65260N (17 April 2007); https://doi.org/10.1117/12.715533
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KEYWORDS
Bone

Ultrasonics

Wave propagation

Sensors

Wavelet transforms

Data processing

Time-frequency analysis

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