Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3614008.3614047acmotherconferencesArticle/Chapter ViewAbstractPublication PagesspmlConference Proceedingsconference-collections
research-article

The measurement of liquid concentration based on Arduino UNO platform using ultrasonic wave sensor

Published: 17 October 2023 Publication History

Abstract

In this study, we combined the Arduino UNO development board with ULM_Plus ultrasonic sensor and used the integrated development environment Arduino IDE for serial data parsing and construct a new liquid concentration measuring instrument. We also used this instrument to measure NaCl solutions of different concentrations and verified the reliability and stability of the experimental setup.

References

[1]
Ruixian Wang, Weidong Meng, Yuanxian Zhang, Dongyang Li, Xiaoyun Pu. 2022. An improved method for measuring the concentration dependence of Fick diffusion coefficient based on Boltzmann equation and cylindrical liquid-core lenses,International Communications in Heat and Mass Transfer. https://doi.org/10.1016/j.icheatmasstransfer.2022.106391
[2]
Divya Sharma, Rohan Kumar Jain, Ritu Sharma, B. Priestly Shan, O. Jeba Shiney. 2021. Analysis of BPM/Pulse rate and its correlation with BMI for sprint activity using ATMega328 based Arduino Uno. https://doi.org/10.1016/j.matpr.2021.07.401
[3]
R. Acevedo, P. Sedlak, R. Kolman, M. Fredel, Residual stress analysis of additive manufacturing of metallic parts using ultrasonic waves: State of the art review, Journal of Materials Research and Technology, Volume 9, Issue 4, 2020, Pages 9457-9477, https://doi.org/10.1016/j.jmrt.2020.05.092
[4]
M. Miró, J.N. Eiras, P. Poveda, M.Á. Climent, J. Ramis, Detecting cracks due to steel corrosion in reinforced cement mortar using intermodulation generation of ultrasonic waves, Construction and Building Materials, Volume 286, 2021, 122915, https://doi.org/10.1016/j.conbuildmat.2021.122915
[5]
Ran Li, Toshiaki Natsuki, Qing-Qing Ni. 2015. A novel dynamic stress analysis in bimaterial composite with defect using ultrasonic wave propagation. https://doi.org/10.1016/j.compstruct.2015.04.046
[6]
D. Dattal and N. N. Kishoret. 1996. Features of ultrasonic wave propagation to identify defects in composite materials modelled by finite element method. https://doi.org/10.1016/S0963-8695(96)00016-3
[7]
Junta Ito, Shiro Biwa, Takahiro Hayashi, Akira Kuraishi. 2015. Ultrasonic wave propagation in the corner section of composite laminate structure: Numerical simulations and experiments. https://doi.org/10.1016/j.compstruct.2014.12.026
[8]
Divya Sharma, Rohan Kumar Jain, Ritu Sharma, B. Priestly Shan, O. Jeba Shiney. 2021. Analysis of BPM/Pulse rate and its correlation with BMI for sprint activity using ATMega328 based Arduino Uno. https://doi.org/10.1016/j.matpr.2021.07.401
[9]
Research for the Speed of Sound in Different Concentrations of the Solution by Using an Ultrasonic Sensor. 2014,10.14139/j.cnki.cn22-1228.2015.03.003
[10]
Liping Yang, Xinxing Chen, Lianjie Tao, Xiaohua Gu. 2019. Multi-scale Fusion and Channel Weighted CNN for Acoustic Scene Classification. https://doi.org/10.1145/3372806.3372809
[11]
Lian Zhou, Nan Zheng, Jian Wang, Qiancai Wei, Qinghua Zhang, Qiao Xu. 2018. Research on the Signal De-noising Method of Acoustic Emission in Fused Silica Grinding. https://doi.org/10.1145/3297067.3297071
[12]
Johansson Axel. The development of the titration methods : Some historical annotations[J]. Analytica Chimica Acta, 1988, 206 : 97-109
[13]
Wang Qiankai. The intensity of diffractive light for the ultrasonic grating for oblique incidence in water[J]. Journal of Optics, 2022, 52(1) : 197-201
[14]
Chang Yoon Jeong Carboxylic Content of Humic Acid Determined by Modeling, Calcium Acetate, and Precipitation Methods[J]. Soil Science Society of America Journal, 2007, 71(1) : 86-94

Index Terms

  1. The measurement of liquid concentration based on Arduino UNO platform using ultrasonic wave sensor

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    SPML '23: Proceedings of the 2023 6th International Conference on Signal Processing and Machine Learning
    July 2023
    383 pages
    ISBN:9798400707575
    DOI:10.1145/3614008
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 October 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    SPML 2023

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 30
      Total Downloads
    • Downloads (Last 12 months)23
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 24 Dec 2024

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media