Nano Material-Based Nsaz- Coriolis Flow Sensor Fabrication Using Graphene Polymer Nanocomposites Tube For High Amplification

Introduction: Existing Coriolis sensors never measure fluids with lower density, such as low-pressure or low-density gas, due to low signal amplification. This leads to low flow velocity and deflection, as well as inaccurate strain measurement. Slightly higher gas content in the liquid causes a significant increase in measurement error. Existing flow sensors have glass tubes with low current and cell voltage. Methods: This paper proposes an NSAZ-Coriolis flow sensor using Nano and MEMS materials, which measures flow velocity in a Graphene Polymer Nanocomposites (GPN) tube. The proposed NSAZ-Coriolis flow sensor is fabricated using nanomaterials, such as SiO2 Nano powder, and MEMS materials, including Al and ZnO. Due to unique geometric properties, SiO2 nanomaterial improves flow sensor performances through increased signal amplification. Results: NSAZ sensor measures deflection strains in the GPN tube during flow conditions and converts them into mass. Based on the flow conditions, the tube is adjusted to measure flow velocity and deflection strains accurately. From this, it is obvious that with the proposed NSAZCoriolis flow sensor, strains and deflections in the tube are improved by about 85%. Discussions: The proposed NSAZ-Coriolis flow sensor is simulated using the MEM solver software. Performances of the proposed NSAZ-Coriolis flow sensor are analyzed based on different fluid pressures, velocities, and strains. Conclusion: The deflection plot and maximum strains on the GPN and glass tube in flow sensors are analyzed. Moreover, Bayesian, which optimizes the multilevel linear regression (BOMLR), is applied to predict deflection based on different materials and flow velocity.

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Publication Details

Journal
Current Nanoscience
Published
2026-01-12
DOI
https://doi.org/10.2174/0115734137345913251018213738
Primary Topic
Flow Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Nano Material-Based Nsaz- Coriolis Flow Sensor Fabrication Using Graphene Polymer Nanocomposites Tube For High Amplification

Rajendran Nirmal, Muthaiyakonar Veeranan Suganyadevi
Current Nanoscience
Flow Measurement and Analysis
article

Nano Material-Based Nsaz- Coriolis Flow Sensor Fabrication Using Graphene Polymer Nanocomposites Tube For High Amplification

Rajendran Nirmal, Muthaiyakonar Veeranan Suganyadevi
article en

Abstract

Introduction: Existing Coriolis sensors never measure fluids with lower density, such as low-pressure or low-density gas, due to low signal amplification. This leads to low flow velocity and deflection, as well as inaccurate strain measurement. Slightly higher gas content in the liquid causes a significant increase in measurement error. Existing flow sensors have glass tubes with low current and cell voltage. Methods: This paper proposes an NSAZ-Coriolis flow sensor using Nano and MEMS materials, which measures flow velocity in a Graphene Polymer Nanocomposites (GPN) tube. The proposed NSAZ-Coriolis flow sensor is fabricated using nanomaterials, such as SiO2 Nano powder, and MEMS materials, including Al and ZnO. Due to unique geometric properties, SiO2 nanomaterial improves flow sensor performances through increased signal amplification. Results: NSAZ sensor measures deflection strains in the GPN tube during flow conditions and converts them into mass. Based on the flow conditions, the tube is adjusted to measure flow velocity and deflection strains accurately. From this, it is obvious that with the proposed NSAZCoriolis flow sensor, strains and deflections in the tube are improved by about 85%. Discussions: The proposed NSAZ-Coriolis flow sensor is simulated using the MEM solver software. Performances of the proposed NSAZ-Coriolis flow sensor are analyzed based on different fluid pressures, velocities, and strains. Conclusion: The deflection plot and maximum strains on the GPN and glass tube in flow sensors are analyzed. Moreover, Bayesian, which optimizes the multilevel linear regression (BOMLR), is applied to predict deflection based on different materials and flow velocity.

Current NanoscienceVol. 22
National Institute of Technology Tiruchirappalli (IN)
Openalex Percentile: Top 80%
Flow Measurement and Analysis
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