Research on Additive Manufacturing Strain Sensor Based on Parametric Design
- DOI
- 10.2991/978-94-6463-058-9_96How to use a DOI?
- Keywords
- Additive manufacturing; Sensor; Fiber grating
- ABSTRACT
With the rapid development of fiber grating sensing technology, fiber grating sensors have high sensitivity and anti-electromagnetic The advantages of interference, small size, quasi-distributed sensor network construction, corrosion resistance, etc., are very suitable for health monitoring of building structures. Measurement. Additive manufacturing technology, commonly known as 3D printing technology, is an advanced manufacturing technology that has developed rapidly in the past 30 years. The advantage lies in the fast and free fabrication of three-dimensional structures. In this study, additive manufacturing technology and parametric design were introduced for the development and design of fiber grating strain sensors, which made the sensor design more flexible and easy to customize, and avoided the generation of bubble defects in the cemented section of the previous sensor. The theoretical basis and case analysis are provided for the optimal design, sensitivity adjustment and new packaging methods of fiber grating strain sensors.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ying Meng PY - 2022 DA - 2022/12/27 TI - Research on Additive Manufacturing Strain Sensor Based on Parametric Design BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 602 EP - 606 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_96 DO - 10.2991/978-94-6463-058-9_96 ID - Meng2022 ER -