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Cited by 162

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A portable fracture toughness tester for biological materials

Darvell, B W, Lee, P K D, Yuen, T D B, Lucas, P W·1996·Measurement Science and Technology

Abstract

A portable mechanical tester is described which is both lightweight and cheap to produce. The machine is simple and convenient to operate and requires only a minimum of personnel training. It can be used to measure the fundamental mechanical properties of pliant solids, particularly toughness (in the sense of `work of fracture') using either scissors or wedge tests. This is achieved through a novel hardware integration technique. The circuits are described. The use of the machine does not require a chart recorder but it can be linked to a personal computer, either to show force - displacement relationships or for data storage. The design allows the use of any relatively `soft' mechanical test, i.e. tests in which the deformability of the frame of the machine and its load cell do not introduce significant errors into the results. Examples of its use in measuring the toughness of biomaterials by scissors (paper, wood) and wedges (mung bean starch gels) are given.

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Metadata

Authors
Darvell, B. W., Lee, P. K. D., Yuen, T. D. B., & Lucas, P. W.
Venue
Measurement Science and Technology
Published
1996-06-01
Volume
7
Issue
6
Pages
954-962
ISSN
  • 0957-0233 (ISSN-L)
  • 1361-6501
OpenAlex
W2053461463
Cited by
162
References
0
FWCI
7.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A portable fracture toughness tester for biological materials. https://app.cochat.ai/papers/10.1088/0957-0233/7/6/016
The paper
Darvell, B. W., Lee, P. K. D., Yuen, T. D. B., & Lucas, P. W. (1996). A portable fracture toughness tester for biological materials. Measurement Science and Technology. https://doi.org/10.1088/0957-0233/7/6/016

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.