Development Of Regression Models To Measure Energy And Inflation Time Of A Fabricated Tyre Pressure Control Unit

Year 2021, Volume: 5 Issue: 4, 436 - 444, 31.12.2021

Taıwo Amosun , Olusegun David Samuel

https://doi.org/10.30939/ijastech..927428

Abstract

Tyre pressure plays a significant role in ensuring safe and economical driving. This research work was done in two major steps. A novel tyre pressure control unit was developed using mechatronic engineering approach of system integration for the control of car tyre inflation pressure. The control unit is designed to comprise air compressor, microcontroller, pressure sensor and rotary valves. A software program was written and embedded in the microcontroller which counts the number of pulses in the pressure sensor. The paper also goes further to illustrate an ordinary (non survival) linear regression models for the variations in energy and inflation time with inflation pressure. The results obtained showed that the values of energy and inflation time increased and varied for the tyre specimen considered. The developed statistical models help to predict required energy and inflation time at different inflation pressures.

Keywords

Control, Regression, Software, Pressure, Mechatronic

References

• Kubba A. E., Jiang K. A. (2011) Comprehensive Study on Technologies of Tyre Monitoring System and Possible Energy Solutions. United States of America Open Access Sensors Journal, pp.12-19.
• Gillespie T. D., (1992). Fundamental of vehicle dynamics. Penysylvannia, PA, USA International Journal of Society of Automative engineers, 2(2): 137-139 Mushiri T, Allan T, Mbohwa C. (2016) Design of an automatic tyre pressure inflation system for small vehicles. Proceedings of the 2016 International Conference on Industrial Engineering and Operation Management, Detroit, Michigan, USA, September 23-25, 2016.
• Matusko J, Petrovic I, Pevic N., (2008) Neural Network Based Tyre/Road. Friction Force Estimation. Journal of Engineering Applications of Artificial intelligence, 3(21): 442-456.
• Simango D, Musaidzi H, Rangi B. P., Mlambo P, Muvunzi R.,(2017). Design of a real time tyre pressure monitoring system. 11th Zimbabwe International Research Symposium, Harare.
• Barber T. E., Remer S. Y., Sandlass G. S., Maki A., (2004) Predicting Tyre Handling Performance Using Neural Network models. SAE Technical Paper: 01-1574.
• Yang X, Behrooz M, Olatunbosun O. A., (2014). A neutral network approach to predicting car tyre micro-scale and macro-scale behavior. Journal of intelligent learning system and applications, 6:11-20.
• Ivanov V, Shyrokau B, Augsburg K, Gramstat S., (2010b). Advancement of vehicle dynamics control with monitoring the tyre rolling environment.SAE International Journal of Passenger Cars-Mechanical System, 3(1):198-216.
• Gosh P. (2007). Optimization of tyre design parameters through finite element analysis and correlation with performance. SAE Technical Paper, 26043.
• Kayisoglu B, Engin Y, Dalmis IS, Akdemir B, Bayhan Y, Kullukcu A., (2014) Developing an Automatic Tyre Pressure Control System To Improve the Tractive Efficiency of Tractors. Journal of Agricultural Machinery Science, 10 (3): 253-259.
• Amosun S. T., (2016) Development of a tyre pressure contol unit. Unpublished Ph.D thesis, Abeokuta, Nigeria.
• Krivtsov V. V., Tananko DE, Davis T. P., (2002). Regression approach to tire reliability analysis. Journal of Reliability Engineering and System Safety,78 (3): 267-273.
• Schjønning P, Lamandé M, Tøgersen FA, Arvidsson J, Keller T., (2008). Modelling effects of tyre inflation pressure on the stress distribution near the soil–tyre interface. Journal of Biosystems Engineering, 99 (1):119-133.
• Pelc J., (2007). Towards realistic simulation of deformation and stresses in pneumatic tyres. Journal of Applied Mathematical Modeling 2007; 31: 530-540.
• Mohapatra A. G., (2011). Design and implementation of diaphragm tyre pressure sensor in a direct tyre pressure monitoring system for automotive safety application International Journal of Engineering Science and Technology 2011; 8(3): 6514-6524.
• Rashidi M, Azadeh S, Fatehirad P, Emadi S. M., Lofti-Aski A., (2013). Prediction of bias-ply tyre deflection based on contact area index, inflation pressure and vertical load using linear regression model. Journal of World Applied Science, 911-918.