Fiber-optic curvature sensor with optimized sensitive zone |
| |
| Authors: | Yili Fu Haiting Di |
| |
| Affiliation: | 1. The State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China;2. Northeast Forestry University, College of Engineering and Technology, Harbin 150040, China;1. National Engineering Laboratory for Next Generation Internet Access System, Huazhong University of Science & Technology (HUST), Wuhan, China;2. College of Optical and Electronic Information, HUST, 1037 Luoyu Road, Wuhan 430074, China;3. College of Electrical and Electronic Engineering, HUST, 1037 Luoyu Road, Wuhan 430074, China;4. College of Electronics and Information Engineering, HUST, 1037 Luoyu Road, Wuhan, 430074, China;1. Telecommunications Laboratory, Electrical Engineering Department, Federal University of Espírito Santo, Fernando Ferrari Avenue, 29075-910 Vitória-ES, Brazil;2. Physics Department & I3N, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;3. Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;1. Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China;2. Institute for Biomedical Materials and Devices, Faculty of Science, University of Technology Sydney, New South Wales 2007, Australia |
| |
| Abstract: | A novel fiber-optic sensor that can measure curvature directly has been developed previously. In this paper, the transduction of curvature to light intensity is described analytically by using the geometrical optics analysis. The mathematical model allows a quantitative optimization of the sensor without having to produce many sensors with slightly different combinations of parameters in order to accomplish a similar objective experimentally. The Monte Carlo simulation by ray tracing and an orthogonal matrix are used to optimize the fiber-optic sensor’s configuration. The results show that the depth of the sensitive zone and the number of teeth are two main parameters that affect the sensor’s sensitivity and the optimum number of teeth is 55, which is in agreement with the mathematical model. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
