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PreprintCC BY-NC-ND 4.0arXiv

Bringing Engineering into the Physics Lab: Exploring Crank-Slider Dynamics with Smartphones

Abstract

Many of the students enrolled in the calculus-based physics sequence are pursuing engineering degrees. Lab activities that have a direct connection to engineering, analyzed with the physics they have been studying, can grab students' interest and provide a real-world connection. All the better if the equipment is inexpensive and partly self-built. In addition, we wanted to use smartphones as data collection devices. Smartphones have become valuable tools for physics education because they provide an accessible and inexpensive means of experimental data acquisition through their built-in sensors. Several free applications, such as Physics Toolbox and phyphox, facilitate sensor-based data collection and analysis, making it possible to perform meaningful laboratory activities without expensive equipment. We chose to use a simple crank-slider mechanism for our activity. The crank-slider converts rotary motion into linear motion and has common applications in such things as internal combustion engines and compressors. Educational studies have shown that slider-crank mechanisms and related mechanical devices provide effective contexts for introducing engineering concepts and connecting theoretical models with practical applications. In our implementation, a rotary motor drives a disk connected by a rod to a cart moving along an air track. Students investigate the resulting motion using smartphone data acquisition and video analysis. Experimental measurements are then compared with the predictions of a mathematical model derived from the geometry of the system.

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BibTeX
@misc{suner2026bringing,
  title = {{Bringing Engineering into the Physics Lab: Exploring Crank-Slider Dynamics with Smartphones}},
  author = {Josep Ll. Suñer and Rod Milbrandt and Juan C. Castro-Palacio and Alfonso Merchante and Francisco M. Muñoz-Peréz and Juan A. Monsoriu},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.16833},
  eprint = {2609.16833},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.16833},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Bringing Engineering into the Physics Lab: Exploring Crank-Slider Dynamics with Smartphones
AU  - Josep Ll. Suñer
AU  - Rod Milbrandt
AU  - Juan C. Castro-Palacio
AU  - Alfonso Merchante
AU  - Francisco M. Muñoz-Peréz
AU  - Juan A. Monsoriu
PY  - 2026
DA  - 2026/09/15
PB  - arXiv
DO  - 10.48550/arxiv.2609.16833
UR  - https://arxiv.org/abs/2609.16833
AB  - Many of the students enrolled in the calculus-based physics sequence are pursuing engineering degrees. Lab activities that have a direct connection to engineering, analyzed with the physics they have been studying, can grab students' interest and provide a real-world connection. All the better if the equipment is inexpensive and partly self-built. In addition, we wanted to use smartphones as data collection devices. Smartphones have become valuable tools for physics education because they provide an accessible and inexpensive means of experimental data acquisition through their built-in sensors. Several free applications, such as Physics Toolbox and phyphox, facilitate sensor-based data collection and analysis, making it possible to perform meaningful laboratory activities without expensive equipment. We chose to use a simple crank-slider mechanism for our activity. The crank-slider converts rotary motion into linear motion and has common applications in such things as internal combustion engines and compressors. Educational studies have shown that slider-crank mechanisms and related mechanical devices provide effective contexts for introducing engineering concepts and connecting theoretical models with practical applications. In our implementation, a rotary motor drives a disk connected by a rod to a cart moving along an air track. Students investigate the resulting motion using smartphone data acquisition and video analysis. Experimental measurements are then compared with the predictions of a mathematical model derived from the geometry of the system.
ER  -