Nanometric Modelization of Gas Structure, Multidimensional  using COMSOL Software

Bouneb, I.; Kerrour, Fouad

doi:10.11591/ijece.v8i4.pp2014-2020

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…The fabrication process and the characterization of LCP pressure sensing unit are described in [20]. LCP has high mechanical strength, low dielectric constant and various chemical resistance [22,23]. It is suitable for packaging the data transmission and power unit.…”

Section: Methodology 21 Wireless Lcp-based Icp Sensor Design Overviewmentioning

confidence: 99%

The development of a wireless LCP-based intracranial pressure sensor for traumatic brain injury patients

Sattayasoonthorn¹,

Suthakorn²,

Chamnanvej³

2020

IJECE

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Raised intracranial pressure (ICP) in traumatic brain injury (TBI) patients can lead to death. ICP measurement is required to monitor the condition of a patient and to inform TBI treatment. This work presents a new wireless liquid crystal polymer (LCP) based ICP sensor. The sensor is designed with the purpose of measuring ICP and wirelessly transmitting the signal to an external monitoring unit. The sensor is minimally invasive and biocompatible due to the mechanical design and the use of LCP. A prototype sensor and associated wireless module are fabricated and tested to demonstrate the functionality and performance of the wireless LCP-based ICP sensor. Experimental results show that the wireless LCP-based ICP sensor can operate in the pressure range of 0 - 60.12 mmHg. Based on repeated measurements, the sensitivity of the sensor is found to be 25.62 µVmmHg-1, with a standard deviation of ± 1.16 µVmmHg-1. This work represents a significant step towards achieving a wireless, implantable, minimally invasive ICP monitoring strategy for TBI patients.

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Section: Methodology 21 Wireless Lcp-based Icp Sensor Design Overviewmentioning

confidence: 99%

The development of a wireless LCP-based intracranial pressure sensor for traumatic brain injury patients

Sattayasoonthorn¹,

Suthakorn²,

Chamnanvej³

2020

IJECE

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“…The conclusions of the previous study suggested that the sensitivity of the device can be improved by decreasing the thickness of sensing membrane, the variation of sensing membrane thickness is therefore varied to determine the appropriate thickness to provide a higher sensitivity. Modeling and simulation are useful for micro [17] and nano-scale electronic design [18]. A 3D model of the LCP pressure sensor is built using COMSOL Multiphysics (v4.3).…”

Section: Methodsmentioning

confidence: 99%

Sensitivity and packaging improvement of an LCP pressure sensor for intracranial pressure measurement via FEM simulation

Sattayasoonthorn

Suthakorn

Chamnanvej

2019

IJECE

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A biocompatible liquid crystal polymer (LCP) pressure sensor is proposed for measuring intracranial pressure (ICP) in Traumatic Brain Injury (TBI) patients. Finite element method using COMSOL multiphysics is employed to study the mechanical behavior of the packaged LCP pressure sensor in order to optimize the sensor design. A 3D model of the 8x8x0.2 mm LCP pressure sensor is simulated to investigate the parameters that significantly influence the sensor characteristics under the uniform pressure range of 0 to 50 mmHg. The simulation results of the new design are compared to the experimental results from a previous design. The result shows that reducing the thickness of the sensing membrane can increase the sensitivity up to six times of that previously reported. An improvement of fabrication methodology is proposed to complete the LCP packaging.

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“…The user defines his couplings or selects the predefined interfaces. The different steps of the modeling process -defining the geometry, the material properties, the mesh, choosing the physics, solving and displaying the results -are integrated into a single interface [16,17].…”

Section: Introductionmentioning

confidence: 99%

Fault detection and diagnosis of squirrel cage asynchronous motor using a new comsol multiphysics software 6.0

Djaidir,

Nail,

Rouibah

2023

Diagnostyka

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In this paper, the diagnosis of faults in squirrel cage asynchronous motor and experimental analysis process are presented. Currently there are several simulation tools, that lets users analyze and interpret the behavior of their devices. Based on this, there is a lot of researches that is working on developing models, to detect and classify 3-phase asynchronous motor faults, significantly in the early stages. This work proposed design and experimental analysis established in Comsol Multiphysics 6.0 , which implements finite element analysis software (FEM) for detecting and diagnosing broken bar rotors of this types motors and its practical application. In this case, the post processor of the COMSOL-Multiphysics makes it possible to visualize in 2D the various magnetic and mechanical quantities. Through the curves of the magnetic flux density and analysis distribution of the field with magnetic induction lines, we can draw some conclusions, where we proposed an strategy, for detecting and diagnosing faults consistent with the structure of the software.

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Nanometric Modelization of Gas Structure, Multidimensional using COMSOL Software

Cited by 5 publications

References 6 publications

The development of a wireless LCP-based intracranial pressure sensor for traumatic brain injury patients

The development of a wireless LCP-based intracranial pressure sensor for traumatic brain injury patients

Sensitivity and packaging improvement of an LCP pressure sensor for intracranial pressure measurement via FEM simulation

Fault detection and diagnosis of squirrel cage asynchronous motor using a new comsol multiphysics software 6.0

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