Enhanced temperature sensitivity of fiber Bragg grating temperature sensor using thermal expansion of copper tube

Lee, Cherl-Hee; Kim, Min-Kuk; Kim, Kwang Tack; Lee, Jong-Hun

doi:10.1002/mop.26032

Cited by 11 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The thermal conductivity of NiTi used as for the DCM body will help to minimize the temperature gradient along the sensor nodes. The structure and thermal sensitivity of both shape sensors used were similar to those in [25] and [26]. Moreover, there will be an opposite effect on wavelength shift at each of the sensors.…”

Section: Discussionmentioning

confidence: 79%

Shape Tracking of a Dexterous Continuum Manipulator Utilizing Two Large Deflection Shape Sensors

et al. 2015

View full text Add to dashboard Cite

Dexterous continuum manipulators (DCMs) can largely increase the reachable region and steerability for minimally and less invasive surgery. Many such procedures require the DCM to be capable of producing large deflections. The real-time control of the DCM shape requires sensors that accurately detect and report large deflections. We propose a novel, large deflection, shape sensor to track the shape of a 35 mm DCM designed for a less invasive treatment of osteolysis. Two shape sensors, each with three fiber Bragg grating sensing nodes is embedded within the DCM, and the sensors’ distal ends fixed to the DCM. The DCM centerline is computed using the centerlines of each sensor curve. An experimental platform was built and different groups of experiments were carried out, including free bending and three cases of bending with obstacles. For each experiment, the DCM drive cable was pulled with a precise linear slide stage, the DCM centerline was calculated, and a 2D camera image was captured for verification. The reconstructed shape created with the shape sensors is compared with the ground truth generated by executing a 2D–3D registration between the camera image and 3D DCM model. Results show that the distal tip tracking accuracy is 0.40 ± 0.30 mm for the free bending and 0.61 ± 0.15 mm, 0.93 ± 0.05 mm and 0.23 ± 0.10 mm for three cases of bending with obstacles. The data suggest FBG arrays can accurately characterize the shape of large-deflection DCMs.

show abstract

Section: Discussionmentioning

confidence: 79%

Shape Tracking of a Dexterous Continuum Manipulator Utilizing Two Large Deflection Shape Sensors

et al. 2015

View full text Add to dashboard Cite

show abstract

“…From Eq. ( 9), the temperature gradient along the normal direction of the thermal surface can be obtained: (11) Therefore, the temperature gradient of the air on the thermal surface is: (12) As shown in Fig. 5(a), when using an FBG to detect the surface temperature, there is a distance t between the sensing point in the sensor and the surface to be measured.…”

Section: Mathematical Sensing Error Modelmentioning

confidence: 99%

“…Fiber Bragg grating (FBG) sensing technology has gained widespread application in temperature monitoring owing to its numerous advantages, including compact size, light weight, high precision, resistance to electromagnetic interference (EMI), and multiplexing capabilities. Depending on packaging forms, FBG-based temperature sensors can be broadly categorized into bare FBG sensor, tube-packaged FBG sensors [6][7][8], substrate-packaged FBG sensors [9], polymer-packaged FBG sensors [10], metal-coated FBG sensors [11][12][13][14], and sensitization structure-packaged FBG sensors [15]. Nonetheless, the primary objective of these packaging structures has been to enhance the temperature sensitivity of FBGs, rather than focusing on temperature measurement accuracy.…”

Section: Introductionmentioning

confidence: 99%

Theoretical error model of FBG-based surface temperature measurement and its accuracy enhancement

Jin,

Li,

Wang

et al. 2024

IEICE Electron. Express

View full text Add to dashboard Cite

This paper aims to establish a mathematical error model for surface temperature measurement based on FBG and to enhance its measurement precision. Firstly, an improved temperature-sensing model for FBG was established. Subsequently, the mathematical model for FBG-based surface temperature measurement error was developed. The experiments were conducted using a controllable surface heat source. Experimental results demonstrate good consistency among the errors obtained from the mathematical model, the finite element model, and experimental testing. Finally, corrosion processing and thermally conductive silicone packaging methods were proposed, elevating the bare FBG's surface temperature measurement accuracy from approximately 4°C to approximately 1°C.

show abstract

“…The fiber Bragg grating temperature measurement technology has become more mature, but the research in this field is mainly concentrated on the extremely high or low temperature measurement and the temperature sensitive enhancing technology. Currently, fiber Bragg grating temperature sensors can be divided into 5 parts by the form of packaging: tube-type fiber Bragg grating temperature sensor [83,84], substrate-type fiber Bragg grating temperature sensor [85,86], polymer packaged fiber Bragg grating temperature sensor [87], metalcoated fiber Bragg grating temperature sensor [88][89][90][91][92][93], and sensitization-type fiber Bragg grating temperature sensor [94]. In order to easily install the temperature sensor and not destroy the internal structure of the machine tools, the temperature of the surface of the machine tools is usually tested and used as the basic data for the thermal error compensation.…”

Section: Principle and Characteristics Of Fiber Bragg Grating Sensorsmentioning

confidence: 99%

Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

Zhou

Gui

Tan

et al. 2017

Chin. J. Mech. Eng.

View full text Add to dashboard Cite

Thermal error monitoring technology is the key technological support to solve the thermal error problem of heavy-duty CNC (computer numerical control) machine tools. Currently, there are many review literatures introducing the thermal error research of CNC machine tools, but those mainly focus on the thermal issues in small and medium-sized CNC machine tools and seldom introduce thermal error monitoring technologies. This paper gives an overview of the research on the thermal error of CNC machine tools and emphasizes the study of thermal error of the heavy-duty CNC machine tool in three areas. These areas are the causes of thermal error of heavy-duty CNC machine tool and the issues with the temperature monitoring technology and thermal deformation monitoring technology. A new optical measurement technology called the ''fiber Bragg grating (FBG) distributed sensing technology'' for heavy-duty CNC machine tools is introduced in detail. This technology forms an intelligent sensing and monitoring system for heavy-duty CNC machine tools. This paper fills in the blank of this kind of review articles to guide the development of this industry field and opens up new areas of research on the heavy-duty CNC machine tool thermal error.

show abstract

Enhanced temperature sensitivity of fiber Bragg grating temperature sensor using thermal expansion of copper tube

Cited by 11 publications

References 9 publications

Shape Tracking of a Dexterous Continuum Manipulator Utilizing Two Large Deflection Shape Sensors

Shape Tracking of a Dexterous Continuum Manipulator Utilizing Two Large Deflection Shape Sensors

Theoretical error model of FBG-based surface temperature measurement and its accuracy enhancement

Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

Contact Info

Product

Resources

About