Development of Wireless Piezofilm Sensor for Monitoring Vehicle Suspension System

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Muhamamad Zuhairy Zulkifli
Zaihasrah Masron
Saltanat A. Omarova

Abstract

The use of piezoelectric sensors in the data acquisition of vibration signal for monitoring systems on vehicles is a practical way to determine the performance of vehicle suspension systems (VSS). However, the transmission of vibration signal data through piezoelectric sensors still relies on conventional techniques, such as wires, which can cause problems in areas with limited space and pose a safety risk for moving vehicles. This study developed a wireless piezofilm sensor-based data acquisition device to monitor VSS using an Arduino microcontroller as a signal processor and a Bluetooth HC-05 module as a wireless communication link with a control terminal. The data acquisition process is carried out by measuring the electrical signal resulting from the vibration of the piezofilm sensor caused by the dynamic motion of the VSS operation. The signal data acquired from the car's body and lower arm was analyzed using the Fast Fourier Transform (FFT) analytical method for comparison. The results of the analysis show that the vibration increases with the increase of the car speed. It found that the vibration at the lower arm of the car is higher than the body part. It can conclude that the developed wireless piezofilm device is effective and capable of performing VSS monitoring.

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How to Cite
Zulkifli, M., Masron, Z., & Omarova, S. (2021). Development of Wireless Piezofilm Sensor for Monitoring Vehicle Suspension System. Teknomekanik, 4(2), 91-96. https://doi.org/10.24036/teknomekanik.v4i2.10572

References

Dixon, J. C. The Shock Absorber Handbook. Second Edition. West Sussex: John Wiley & Sons Ltd. 2007

Samhouri, M, S., Mota, T., Martins, P., Cotta, C., & Correia, M. An Intelligent Opportunistic Maintenance (OM) System: A Genetic Algorithm Approach. Jordan Journal of Mechanical and Industrial Engineering. 2009; 9(10): 246–251.

Abraham, S., & Li, X. A cost-effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications. Procedia Computer Science, 2014; 34: 165-171.

González, A., Olazagoitia, J. L., & Vinolas, J. A Low-cost Data Acquisition System for Automobile Dynamics Applications. In Sensors (Switzerland). 2018; 18(2).

Patel, V. K., & Patel, M. N. Development of Smart Sensing Unit for Vibration Measurement by Embedding Accelerometer with the Arduino Microcontroller. International Journal of Instrumentation Science. 2017; 6(1): 1–7.

Ahirrao, N. S., Bhosle, S. P., & Nehete, D. V. Dynamics and Vibration Measurements in Engines. Procedia Manufacturing. 2018; 20: 434-439.

Gao, J., & Chen, K. Frequency-Domain Simulation and Analysis of Vehicle Ride Comfort Based on Virtual Proving Ground. International Journal of Intelligent Engineering and Systems. 2011; 4(3): 1–8.

Dahil, L. Effect on the Vibration of the Suspension System. Metalurgija. 2017; 56(3–4): 375–378.

Kim, Y. D., Jeong, J. E., Park, J. S., Yang, I. H., Park, T. S., Muhamad, P. B., Choi, D. H., & Oh, J. E. Optimization of the Lower Arm of A Vehicle Suspension System for Road Noise Reduction by Sensitivity Analysis. Mechanism and Machine Theory. 2013; 69: 278–302.

Georgiev, Z., & Kunchev, L. Study of the Vibrational Behaviour of the Components of a Car Suspension. MATEC Web of Conferences. 2018; 234.

Taghizadeh-Alisaraei, A. Analysis of Annoying Shocks Transferred from Tractor Seat Using Vibration Signals and Statistical Methods. Computers and Electronics in Agriculture. 2017; 141: 160–170.

Mat Isa, C. M., Mustaffa, N. K., Joseph, E. O., & Preece, C. N. Development of Psychomotor Skill and Programme Outcome Attainment of Civil Engineering Students in Malaysia. Asian Journal of Vocational Education And Humanities, 2020, 1(2), 9-24. https://doi.org/10.53797/ajvah.v1i2.2.2020

Abu Bakar, R., Rahmatullah, B., Munastiwi, E., & Dheyab, O. A confirmatory analysis of the prevention insider threat in organization information system. Journal of Technology and Humanities, 2021, 2(1), 20-30.

Elhorst, J. P. Matlab software for spatial panels. International Regional Science Review, 2014, 37(3), 389-405.

Herrera, A. M., Suhandri, H. F., Realini, E., Reguzzoni, M., & de Lacy, M. C. goGPS: open-source MATLAB software. GPS solutions, 2016, 20(3), 595-603.

Gupta, R. K. Co-synthesis of hardware and software for digital embedded systems 2012, (Vol. 329). Springer Science & Business Media.

Ngatiman, N. A., Nuawi, M. Z., & Abdullah, S. Z-Freq: Signal Analysis-Based Gasoline Engine Monitoring Technique Using Piezo-Film Sensor. International Journal of Mechanical Engineering and Technology, 2018, 9(5), 897-910.

Atalay, A., Atalay, O., Husain, M. D., Fernando, A., & Potluri, P. Piezofilm yarn sensor-integrated knitted fabric for healthcare applications. Journal of Industrial Textiles, 2017, 47(4), 505-521.

Mirow, P. High Resolution Piezo Film Sensor Systems for Automotive Applications. In Advanced Microsystems for Automotive Applications 2003, 249-259). Springer, Berlin, Heidelberg.

Mironov, A., Priklonskiy, A., Mironovs, D., & Doronkin, P. Application of deformation sensors for structural health monitoring of transport vehicles. In International Conference on Reliability and Statistics in Transportation and Communication, 2019 October, 162-175). Springer, Cham.

Dung, C. V., & Sasaki, E. Fundamental investigation on applicability of Piezofilm Sensor in sensing low-frequency structural response of bridges. In Transforming the Future of Infrastructure through Smarter Information: Proceedings of the International Conference on Smart Infrastructure and ConstructionConstruction, 27–29 June 2016 (pp. 265-270). ICE Publishing.