Numerical Analysis of Response Time for Thin Film Temperature Sensors in Lubricated Contact

Volume 1 ◽  
2004 ◽  
Author(s):  
Yi Jia ◽  
Juan Guillermo Araya ◽  
Gustavo Gutie´rrez

Thin film temperature sensors integrated onto mechanical component surface are promising for real-time machine condition monitoring. In this paper one-dimensional heat conduction model has been developed to study the response time of the thin film sensors designed for monitoring of temperature distribution in elastohydrodynamic lubrication contact. A control volume approach was used to numerically analyze the effects of film thickness (from 0.1 μm to 100 μm), sensing materials, and substrate materials on the transient time response of the thin film sensor. Validation of the numerical model was compared to an analytical solution in a semi infinite domain. The time constants are obtained based on a constant heat load and sensor sensibility is studied when a typical dynamic pressure in lubricated contact is applied. The faster response time and the short time delay for a thin film sensor are expected in lower conductivity of substrate. It is also clear that the response time decreases with increasing film thickness and the conductivity of the substrate. Results show that when thickness of the sensor is less than 1 μm, the sensor is feasible to capture the transient temperature profile in real-time for machine health monitoring under various operating condition.

Sensors ◽  
2016 ◽  
Vol 16 (7) ◽  
pp. 977 ◽  
Author(s):  
Gang Li ◽  
Zhenhai Wang ◽  
Xinyu Mao ◽  
Yinghuang Zhang ◽  
Xiaoye Huo ◽  
...  

Sensor Review ◽  
2020 ◽  
Vol 40 (4) ◽  
pp. 485-495 ◽  
Author(s):  
Dinesh Ramkrushna Rotake ◽  
Anand Darji ◽  
Jitendra Singh

Purpose The purpose of this paper is a new thin-film based sensor proposed for sensitive and selective detection of mercury (Hg2+) ions in water. The thin-film platform is easy to use and quick for heavy metal ions (HMIs) detection in the picomolar range. Ion-selective self-assembled monolayer's (SAM) of thiol used for the detection of HMIs above the Au/Ti top surface. Design/methodology/approach A thin-film based platform is suitable for the on-field experiments and testing of water samples. HMIs (antigen) and thiol-based SAM (antibody) interaction results change in surface morphology and topography. In this study, the authors have used different characterization techniques to check the selectivity of the proposed method. This change in the morphology and topography of thin-film sensor checked with Fourier-transform infrared spectroscopy, surface-enhanced Raman scattering spectroscopy, atomic force microscopy and scanning electron microscopy with energy dispersive x-ray analysis used for high-resolution images. Findings This thin-film based platform is straightforward to use and suitable for real-time detection of HMIs at the picomolar range. This thin-film based sensor platform capable of achieving a lower limit of detection (LOD) 27.42 ng/mL (136.56 pM) using SAM of Homocysteine-Pyridinedicarboxylic acid to detect Hg2+ ions. Research limitations/implications A thin-film based technology is perfect for real-time testing and removal of HMIs, but the LOD is higher as compared to microcantilever-based devices. Originality/value The excessive use and commercialization of nanoparticle (NPs) are quickly expanding their toxic impact on health and the environment. The proposed method used the combination of thin-film and NPs, to overcome the limitation of NPs-based technique and have picomolar (136.56 pM) range of HMIs detection. The proposed thin-film-based sensor shows excellent repeatability and the method is highly reliable for toxic Hg2+ ions detection. The main advantage of the proposed thin-film sensor is its ability to selectively remove the Hg2+ ions from water samples just like a filter and a sensor for detection at picomolar range makes this method best among the other current-state of the art techniques.


2018 ◽  
Vol 63 (1) ◽  
pp. 3795-3798
Author(s):  
Meifeng Chen ◽  
Xinying Ma ◽  
Xia Li ◽  
Mingjing Yin ◽  
Yanyun Li ◽  
...  

2015 ◽  
Vol 157 ◽  
pp. 169-171 ◽  
Author(s):  
Vinoth Kumar Jayaraman ◽  
Arturo Maldonado Álvarez ◽  
María de la Luz Olvera Amador

2019 ◽  
Vol 216 (12) ◽  
pp. 1900114
Author(s):  
Heiko Iken ◽  
Thomas S. Bronder ◽  
Alexander Goretzki ◽  
Jana Kriesel ◽  
Kristina Ahlborn ◽  
...  

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