UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2304B12


Registration ID:
513918

Page Number

l69-l75

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Title

Predictive Analysis of a Centrifugal Pump using Digital Twin

Abstract

This research paper investigates the data acquisition of a centrifugal pump using three sensors: a flow sensor, an accelerometer MPU6050, and an ultrasonic sensor HC-SR-04. The proposed work aims to identify any discrepancies between the sensor data and physical measurements and provide insight into potential issues with the sensors or pump. The results of this study can be used to improve the design and operation of centrifugal pumps, and ensure its performance meets the required specifications. The study validates the data collected by the sensors through physical measurements, including pump head, vibration, and flow rate. By comparing the sensor data with physical measurements, the accuracy and reliability of the sensors can be evaluated. The results show a negligible error for the accelerometer and the flow sensor which is of 0.71% and 0.40% respectively, and a small error for the ultrasonic sensor of 4.20%.

Key Words

Centrifugal pumps, data acquisition, flow sensor, accelerometer, ultrasonic sensor, validation, physical measurements, pump performance, Raspberry Pi Pico

Cite This Article

"Predictive Analysis of a Centrifugal Pump using Digital Twin", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l69-l75, April-2023, Available :http://www.jetir.org/papers/JETIR2304B12.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Predictive Analysis of a Centrifugal Pump using Digital Twin", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl69-l75, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B12.pdf

Publication Details

Published Paper ID: JETIR2304B12
Registration ID: 513918
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.33975
Page No: l69-l75
Country: Navi Mumbai, Thane, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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