4.5 Article

Smart Fiber Optics Embedding in Powder-Based Materials: Numerical and Experimental Assessment

Journal

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
Volume 46, Issue 8, Pages 8009-8035

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s13369-021-05641-4

Keywords

Sensors embedding; Smart materials; Nervous materials; Fiber optics; Powder materials

Funding

  1. King Abdulaziz City for Science and Technology (KACST) through King Fahd University of Petroleum & Minerals (KFUPM) as part of the National Science, Technology and Innovation Plan [11-ADV2133-04]

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This paper discusses the embedding conditions of fiber-optic sensors in powder-based materials using two different techniques, aiming to build haptic sensorial materials for robotics applications. The results show promising possibilities for sensors to be embedded and located anywhere inside the material, with good agreement between numerical modeling and experimental analysis, supporting the preparation of experiments and manufacturing processes with parts having complex geometries.
This paper discusses embedding conditions of fiber-optic sensors in powder-based materials using two different techniques, i.e., cold compaction followed by furnace sintering and spark plasma sintering. The purpose is to build haptic sensorial materials for robotics applications. The results have shown promising possibilities for the sensors to be hosted and located anywhere inside the material using a defined process that is controlled with known parameters. These host materials become completely sensorial with in-depth sensors embedding at known positions in three-dimensional directions. The numerical modeling and simulation have shown good agreement with experimental analysis. This has allowed observing the integrity of both host materials and the sensors, as well as the good adherence of the sensors in embedded material to reproduce reliably the material behavior. The numerical modeling has supported proper preparation of the experiments and later in the manufacturing process with parts having complex geometries with embedded sensors and even actuators.

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