J
Jurnal Teknika dan Informatika Abnus Publisher

Analysis of Frictional Energy Generation Between Train Wheelsand Rails

2021-05-16
Published
46-61
Pages
OPEN
Access
AB
Anggananda Berlian Rms
Fakultas Teknik dan Informatika, Program Studi Teknik Mesin, Universitas Dian Nusantara, Jakarta, Indonesia
EW
Erfiana Wahyuningsih
Fakultas Teknik dan Informatika, Program Studi Teknik Mesin, Universitas Dian Nusantara, Jakarta, Indonesia
Abstract

Purpose: This study aims to analyze the friction between two homogeneous materials, specifically focusing on the friction between train wheels and rails during braking, and the energy produced by this friction that can potentially be utilized as renewable energy.

Research Methodology: A braking model was designed using a Direct Current (DC) motor as the driving force for the train. The frictional force (Fk) during braking was measured using an Arduino Mega control system that processed data from a speed sensor. The temperature changes resulting from friction were recorded and converted into energy. The experiment was conducted with different masses to evaluate the relationship between the load and energy produced from friction.

Results: The results show a significant linear correlation between friction force and energy production with an R² value of 0.9541. The maximum energy generated during braking, with a friction force of 1.864 Newtons, was 37.31 Joules.

Conclusions: This study demonstrates that energy generated from friction during braking could be harnessed as renewable energy. The results confirm that increased load and friction lead to higher energy output, showing the potential for more sustainable energy systems in transportation.

Limitations: The research was limited to specific materials and experimental conditions. Further studies are needed to explore different materials and environmental factors.

Contributions: This study contributes to the understanding of energy harvesting through friction, proposing a new avenue for sustainable energy sources in the transportation sector.

Arduino Energy Friction Renewable Energy Sustainable Transportation
How to Cite
Berlian Rms, A., & Wahyuningsih, E. . (2021). Analysis of Frictional Energy Generation Between Train Wheelsand Rails. Jurnal Teknika Dan Informatika, 1(1), 46-61. https://doi.org/10.52909/jti.v1i1.10
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References
  1. Abrantes, I., Ferreira, A. F., Silva, A., & Costa, M. (2021). Sustainable aviation fuels and imminent technologies–CO₂ emissions evolution towards 2050. Journal of Cleaner Production, 313, 127937. https://doi.org/10.1016/j.jclepro.2021.127937
  2. Adam, G. K., Kontaxis, P. A., Doulos, L. T., Madias, E. N. D., Bouroussis, C. A., & Topalis, F. V. (2019). Embedded microcontroller with a CCD camera as a digital lighting control system. Electronics, 8(1), 33. https://doi.org/10.3390/electronics8010033
  3. Algarni, S., Saleel, C. A., & Mujeebu, M. A. (2018). Air-conditioning condensate recovery and applications – current developments and challenges ahead. Sustainable Cities and Society, 37, 263–274. https://doi.org/10.1016/j.scs.2017.11.032
  4. Alsamhi, S. H., & Lee, B. (2020). Blockchain-empowered multi-robot collaboration to fight COVID-19 and future pandemics. IEEE Access, 9, 44173–44197. https://doi.org/10.1109/access.2020.3032450
  5. Asadi, I., Shafigh, P., Hassan, Z. F. B. A., & Mahyuddin, N. B. (2018). Thermal conductivity of concrete–a review. Journal of Building Engineering, 20, 81–93. https://doi.org/10.1016/j.jobe.2018.07.002
  6. Ashby, M. P. (2017). The value of CCTV surveillance cameras as an investigative tool: An empirical analysis. European Journal on Criminal Policy and Research, 23(3), 441–459. https://doi.org/10.1007/s10610-017-9341-6
  7. Aymerich-Franch, L., & Ferrer, I. (2021). Liaison, safeguard, and well-being: Analyzing the role of social robots during the COVID-19 pandemic. Technology in Society, 70, 101993. https://doi.org/10.1016/j.techsoc.2022.101993
  8. Besteiro, R., Rodríguez, M. R., Fernández, M. D., Ortega, J. A., & Velo, R. (2018). Agreement between passive infrared detector measurements and human observations of animal activity. Livestock Science, 214, 219–224. https://doi.org/10.1016/j.livsci.2018.06.008
  9. Bhuyan, M. H., & Hasan, M. (2020). Design and simulation of heartbeat measurement system using Arduino microcontroller in Proteus. International Journal of Biomedical and Biological Engineering, 14(10), 350–357.
  10. Bogue, R. (2020). Robots in a contagious world. Industrial Robot, 47(5), 642–673. https://doi.org/10.1108/IR-05-2020-0101
  11. Björnsson, L. H., & Karlsson, S. (2016). The potential for brake energy regeneration under Swedish conditions. Applied Energy, 168, 75–84. https://doi.org/10.1016/j.apenergy.2016.01.051
  12. Bürklein, S., Stüber, J. P., & Schäfer, E. (2019). Real-time dynamic torque values and axial forces during preparation of straight root canals using three different endodontic motors and hand preparation. International Endodontic Journal, 52(1), 94–104. https://doi.org/10.1111/iej.12980
  13. Chaudry, A. M. (2020). Using Arduino Uno microcontroller to create interest in physics. The Physics Teacher, 58(6), 418–421. https://doi.org/10.1119/10.0001841
  14. Chen, N., Zheng, J., Jiang, X., Fan, S., & Fan, D. (2020). Analysis and control of micro-stepping characteristics of ultrasonic motor. Frontiers of Mechanical Engineering, 15(4), 585–599. https://doi.org/10.1007/s11465-019-0577-3
  15. Cheli, F., Di Gialleonardo, E., & Melzi, S. (2017). Freight trains dynamics: Effect of payload and braking power distribution on coupling forces. Vehicle System Dynamics, 55(4), 464–479. https://doi.org/10.1080/00423114.2016.1246743
  16. Cole, C., Spiryagin, M., Wu, Q., & Sun, Y. Q. (2017). Modelling, simulation and applications of longitudinal train dynamics. Vehicle System Dynamics, 55(10), 1498–1571. https://doi.org/10.1080/00423114.2017.1330484
  17. da Cunha, D. A., Macário, R., & Reis, V. (2017). Keeping cargo security costs down: A risk-based approach to air cargo airport security in small and medium airports. Journal of Air Transport Management, 61, 115–122. https://doi.org/10.1016/j.jairtraman.2017.01.003
  18. D’Ausilio, A. (2012). Arduino: A low-cost multipurpose lab equipment. Behavior Research Methods, 44(2), 305–313. https://doi.org/10.3758/s13428-011-0163-z
  19. Di Lallo, A., Murphy, R., Krieger, A., Zhu, J., Taylor, R. H., & Su, H. (2021). Medical robots for infectious diseases: Lessons and challenges from the COVID-19 pandemic. IEEE Robotics & Automation Magazine, 28(1), 18–27. https://doi.org/10.1109/mra.2020.3045671
  20. Dou, W., & Subotnik, J. E. (2018). Perspective: How to understand electronic friction. The Journal of Chemical Physics, 148(23). https://doi.org/10.1063/1.5035412
  21. Erickson. (2014). Health work. ALPHABET.
  22. Fekadu, G., & Subudhi, S. (2018). Renewable energy for liquid desiccants air conditioning system: A review. Renewable and Sustainable Energy Reviews, 93, 364–379. https://doi.org/10.1016/j.rser.2018.05.016
  23. Ferrero-Ferrero, I., Fernández-Izquierdo, M. Á., & Muñoz-Torres, M. J. (2015). Integrating sustainability into corporate governance: An empirical study on board diversity. Corporate Social Responsibility and Environmental Management, 22(4), 193–207. https://doi.org/10.1002/csr.1333
  24. Furter, J. S., & Hauser, P. C. (2019). Interactive control of purpose built analytical instruments with Forth on microcontrollers – a tutorial. Analytica Chimica Acta, 1058, 18–28. https://doi.org/10.1016/j.aca.2018.10.071
  25. Gong, G., Liu, J., & Mei, X. (2017). Investigation of heat load calculation for air carrying energy radiant air-conditioning system. Energy and Buildings, 138, 193–205. https://doi.org/10.1016/j.enbuild.2016.12.005
  26. Goswami, A. (2018). Human resource management and its importance for today’s organizations. Journal of Advances and Scholarly Researches in Allied Education, 15(3), 128–135. https://doi.org/10.29070/15/57308
  27. Gupta, C. C., Coates, A. M., Dorrian, J., & Banks, S. (2019). The factors influencing the eating behaviour of shiftworkers: What, when, where and why. Industrial Health, 57(4), 419–453.
  28. Holland, J., Kingston, L., McCarthy, C., Armstrong, E., O’dwyer, P., Merz, F., & McConnell, M. (2021). Service robots in the healthcare sector. Robotics, 10(1), 47. https://doi.org/10.3390/robotics10010047
  29. Hussain, M., Zaidan, A. A., Zidan, B. B., Iqbal, S., Ahmed, M. M., Albahri, O. S., & Albahri, A. S. (2018). Conceptual framework for the security of mobile health applications on Android platform. Telematics and Informatics, 35(5), 1335–1354. https://doi.org/10.1016/j.tele.2018.03.005
  30. Jang, Y., Kim, D., Park, J., & Kim, D. (2018). Conditional effects of open-street CCTV on crime. International Journal of Law, Crime and Justice, 53, 9–24. https://doi.org/10.1016/j.ijlcj.2018.02.001
  31. Khamis, A., Meng, J., Wang, J., Azar, A. T., Prestes, E., Takács, Á., & Haidegger, T. (2021). Robotics and intelligent systems against a pandemic. Acta Polytechnica Hungarica, 18(5), 13–35.
  32. Kothadiya, O. M. (2016). Providing good service quality and customer satisfaction for airline ground services. Journal of Technology, 4(8), 43–56.
  33. Kovynyov, I., & Mikut, R. (2019). Digital technologies in airport ground operations. NETNOMICS, 20(1), 1–30. https://doi.org/10.1007/s11066-019-09132-5
  34. Lahfaoui, B., Zouggar, S., Mohammed, B., & Elhafyani, M. L. (2017). Real time study of P&O MPPT control. Energy Procedia, 111, 1000–1009. https://doi.org/10.1016/j.egypro.2017.03.263
  35. Luthans, F. (2011). Organizational behavior. Andi.
  36. Malik, S. Y., Cao, Y., Mughal, Y. H., Kundi, G. M., Mughal, M. H., & Ramayah, T. (2020). Pathways towards sustainability in organizations. Sustainability, 12(8), 3228. https://doi.org/10.3390/su12083228
  37. Mangkunegara, A. (2017). Manajemen sumber daya manusia perusahaan. PT Remaja Rosdakarya.
  38. Martinez-Santos, J. C., Acevedo-Patino, O., & Contreras-Ortiz, S. H. (2017). Influence of Arduino on microcontroller courses. IEEE RITA, 12(4), 208–217. https://doi.org/10.1109/RITA.2017.2776444
  39. Maw, W. W., Myint, C. C., & Lwin, S. S. (2019). College information system using Android. IJTSRD, 3(3), 806–809.
  40. McLinden, M. O., Seeton, C. J., & Pearson, A. (2020). New refrigerants and system configurations. Science, 370(6518), 791–796.
  41. Mishra, A. K., Lama, C., Sah, D. P., & Badagha, D. G. (2019). Safety implementation effectiveness assessment. Journal of Advanced Research in Civil and Environmental Engineering, 6(2), 1–20.
  42. Moenir. (2018). Manajemen pelayanan umum di Indonesia. Bumi Aksara.
  43. Mukhopadhyay, B., Srirangarajan, S., & Kar, S. (2018). Modeling passive infrared sensor response. Sensors and Actuators A, 279, 65–74. https://doi.org/10.1016/j.sna.2018.05.002
  44. Muthusenthil, B., & Kim, H. S. (2018). CCTV surveillance system design goals. International Journal of Electrical and Computer Engineering, 8(4), 2072.
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How to Cite

Berlian Rms, A., & Wahyuningsih, E. . (2021). Analysis of Frictional Energy Generation Between Train Wheelsand Rails. Jurnal Teknika Dan Informatika, 1(1), 46-61. https://doi.org/10.52909/jti.v1i1.10
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