Real Time Measurement for Spring-Mass System: The Graphical and Mathematical Representations

Authors

DOI:

10.29303/jppipa.v7i1.458

Published:

2021-01-07

Issue:

Vol. 7 No. 1 (2021): January

Keywords:

Data acquisition, oscillatory motion, spring-mass system, ultrasonic sensor.

Research Articles

Downloads

How to Cite

Hidayat, N., & Yulianti, E. (2021). Real Time Measurement for Spring-Mass System: The Graphical and Mathematical Representations. Jurnal Penelitian Pendidikan IPA, 7(1), 74–79. https://doi.org/10.29303/jppipa.v7i1.458

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Abstract

Mathematics is the language of physics. The best way to describe a physical phenomenon is by describing its mathematical representations. In addition, viewing the graphical diagram of the corresponding mathematical expression is crucial to deeply understand the physical events. Therefore, setting simple experiments in real time to (1) observe the phenomena, (2) view the related diagrams, and (3) extract the mathematical representations is required. In this study, the real time and simple experimental set-up (consisting of ultrasonic sensor HC-SR04 connected to an Arduino Uno board) was designed to perceive the motion of a spring-mass system. The spring force, which is equal to the object’s weight, and displacement or spring elongation data were recorded for the object (with varying mass) attached to the spring. A small external downward force was given to stimulate the simple harmonic motion of the vertical spring-mass system. The displacement as the function of time of the spring-mass motion was recorded. With those measurements, the sinusoidal patterns, representing the simple harmonic motion characteristics, were also observed. The spring constants were 6.35(2) N/m and 6.26(1) N/m for the displacements measured by sensor and ruler, respectively. The periods form the angular frequency of the displacement function and from the spring constant (acquired from sensor data fitting) showed consistent results with very high accuracy. This simple experimental set-up is believed to fulfill the technological-based learning demand.

References

Andani, R. W., Sholihah, B., Hidayat, N., Navis, I., & Yulianti, E. (2018). GATA-Fisika: A New Learning Innovation to Help Students Better Understand the Concept of Simple Harmonic Motion. 2, 345–350. https://doi.org/10.5220/0008412003450350

Bagno, E., Berger, H., Magen, E., Polingher, C., Lehavi, Y., & Eylon, B. (2019). Starting with Physics: A Problem-Solving Activity for High-School Students Connecting Physics and Mathematics. In G. Pospiech, M. Michelini, & B.-S. Eylon (Eds.), Mathematics in Physics Education (pp. 317–331). Springer International Publishing. https://doi.org/10.1007/978-3-030-04627-9_14

Bollen, L., van Kampen, P., Baily, C., & De Cock, M. (2016). Qualitative investigation into students’ use of divergence and curl in electromagnetism. Physical Review Physics Education Research, 12(2), 020134.

https://doi.org/10.1103/PhysRevPhysEducRes.12.020134

Çoban, A., & Çoban, N. (2020). Using Arduino in physics experiments: Determining the speed of sound in air. Physics Education, 55(4), 043005. https://doi.org/10.1088/1361-6552/ab94d6

Galeriu, C. (2018). An Arduino Investigation of Newton’s Law of Cooling. The Physics Teacher, 56(9), 618–620.

https://doi.org/10.1119/1.5080580

Gisin, N. (2020). Mathematical languages shape our understanding of time in physics. Nature Physics, 16(2), 114–116.

https://doi.org/10.1038/s41567-019-0748-5

Haitjema, H. (2020). The Calibration of Displacement Sensors. Sensors (Basel, Switzerland), 20(3). https://doi.org/10.3390/s20030584

Horne, C., & Kelly, J. C. (2020). Study of Wave Motion and Teaching Methods in Engineering Problem Solving Course. 2020 IEEE Global Engineering Education Conference (EDUCON), 279–283. https://doi.org/10.1109/EDUCON45650.2020.9125293

Hsu, Y.-C., Ching, Y.-H., & Baldwin, S. (2018). Physical Computing for STEAM Education: Maker-Educators’ Experiences in an Online Graduate Course. Journal of Computers in Mathematics and Science Teaching, 37(1), 53–67.

Kareth, Z. V., Dahlan, K., Akbar, M., & Togibasa, O. (2018). Harmonic Oscillation Characteristic using Visual Basic Application. Journal of Physics: Conference Series, 1028, 012046.

https://doi.org/10.1088/1742-6596/1028/1/012046

Kinchin, J. (2018). Using an Arduino in physics teaching for beginners. Physics Education, 53(6), 063007. https://doi.org/10.1088/1361-6552/aae350

Klein, P., Viiri, J., Mozaffari, S., Dengel, A., & Kuhn, J. (2018). Instruction-based clinical eye-tracking study on the visual interpretation of divergence: How do students look at vector field plots? Physical Review Physics Education Research, 14(1), 010116.

https://doi.org/10.1103/PhysRevPhysEducRes.14.010116

Manosuttirit, A. (2019). How to Apply Technology in STEM Education Activities. Journal of Physics: Conference Series, 1340, 012007.

https://doi.org/10.1088/1742-6596/1340/1/012007

Organtini, G. (2018). Arduino as a tool for physics experiments. Journal of Physics: Conference Series, 1076, 012026.

https://doi.org/10.1088/1742-6596/1076/1/012026

Pepper, R. E., Chasteen, S. V., Pollock, S. J., & Perkins, K. K. (2012). Observations on student difficulties with mathematics in upper-division electricity and magnetism. Physical Review Special Topics - Physics Education Research, 8(1), 010111. https://doi.org/10.1103/PhysRevSTPER.8.010111

Serway, R. A., & Jewett, J. W. (2018). Physics for Scientists and Engineers with Modern Physics (10 edition). Cengage Learning.

Sun, W., & Wang, J. (2019). Demonstration for Additive Colors by Defocus Blur. The Physics Teacher, 57(7), 498–499.

https://doi.org/10.1119/1.5126836

Tisdell, C. C. (2019). An accessible, justifiable and transferable pedagogical approach for the differential equations of simple harmonic motion. International Journal of Mathematical Education in Science and Technology, 50(6), 950–959. https://doi.org/10.1080/0020739X.2018.1516826

Yi, G. Y. (2017). Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application. Springer-Verlag.

https://doi.org/10.1007/978-1-4939-6640-0

Yulianti, E., Mustikasari, V. R., Hamimi, E., Rahman, N. F. A., & Nurjanah, L. F. (2020). Experimental evidence of enhancing scientific reasoning through guided inquiry model approach. AIP Conference Proceedings, 2215(1), 050016. https://doi.org/10.1063/5.0000637

Author Biographies

Nurul Hidayat, Universitas Negeri Malang

Department of Physics

Erni Yulianti, Universitas Negeri Malang

Science Education Study Program

License

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).