An offset multilayered optic sensor for shear and pressure measurement

Chao-Shih Liu; Gai-Wen Chou; Yi-Lang Lyu; Per G. Reinhall; Wei-Chih Wang

doi:10.1117/12.775616

10 April 2008 An offset multilayered optic sensor for shear and pressure measurement

Chao-Shih Liu, Gai-Wen Chou, Yi-Lang Lyu, Per G. Reinhall, Wei-Chih Wang

Proceedings Volume 6935, Health Monitoring of Structural and Biological Systems 2008; 69351B (2008) https://doi.org/10.1117/12.775616
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

Abstract

Simultaneous recording of shear and pressure is an important requirement for study the causes of foot ulceration. In order to obtain a more robust and meaningful picture of what is occurring on the plantar surface of the foot, we have developed a multi-layered optical bend loss sensor that can be accommodated for shear and pressure measurement of an extended area. The sensor is made of two layers of crisscross fiberoptic sensor array separated by an elastomeric layer. Each sensing layer has multiple fibers molded into a thin polydimethylsiloxane (PDMS) substrate to form a mesh array. The top layer uses 6 fibers to create a 3 by 3 mesh with 9 intersection points and the bottom layer uses 8 fibers to create a 4 by 4 mesh with 16 intersection points. The space between the adjacent fibers is 0.5cm. Measuring changes of light intensity transmitted through the fiber provides information about the force induced changes of the fiber's radius of curvature. Pressure is measured based on the force induced light loss from the two affected crossing fibers divided by each sensing area. Shear was measured based on the relative position changes on these pressure points between the two fiber mesh layers. The design is an offset layout because the intersection points of the top and bottom layer are offset by 0.25 cm which can increase the shear sensing sensitivity. For testing the sensor with various loading condition, a neural network algorithm is induced to identify the loading pattern and the shear direction. Three loading patterns with 5 different loading directions were tested and a >90% accuracy was obtained using an algorithm using 2 neural networks.

Citation Download Citation

Chao-Shih Liu, Gai-Wen Chou, Yi-Lang Lyu, Per G. Reinhall, and Wei-Chih Wang "An offset multilayered optic sensor for shear and pressure measurement", Proc. SPIE 6935, Health Monitoring of Structural and Biological Systems 2008, 69351B (10 April 2008); https://doi.org/10.1117/12.775616

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KEYWORDS

Optical fibers

Sensors

Neural networks

Signal attenuation

Evolutionary algorithms

Fiber optics sensors

Optical sensors

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