A Study of Relation between Force and Acceleration Signals in Airbag Control by Single Pendulum Model
Main Article Content
Abstract
This paper uses a pendulum collision model to study collision in airbag system design and testing which overcome the disadvantages of the current airbag system testing process. The pendulum model used in this study can change the hardness, mass of the vehicle, collision velocity. In addition, the model can measure acceleration and force during the collision. The paper investigated the dependence of force and acceleration according to factors such as collision mass, collision speed, and equivalent stiffness of the vehicle to evaluate the model. These results can also be used in other studies to determine airbag control algorithm for different vehicles and collision conditions.
Keywords
Airbag, force sensor, acceleration transducer, collision acceleration
Article Details
References
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[9] Matthew Mckinnon; ARDUINO, 102; Createspace Independent Publishing Platform, Apr 12 2016.
[2] Mane Archana Rajendra, Puranik V. G; Airbag Deployment System Based on Precrash Information; International Journal of Innovative Research in Science, Engineering and Technology, 3-4 (2014) 365-371.
[3] Kwanghyun Cho, Seibum B. Choi, Hyeongcheol Lee; Design of an Airbag Deployment Algorithm Based on Precrash Information; IEEE Transactions on Vehicular Technology, 60-4 (2011) 1438-1452.
[4] A. D. Katkar, J. S. Bagi; Bumper Design Enhancement through Crash Analysis; International Journal of Engineering Technology, Management and Applied Sciences, 3-2 (2015) 272-279.
[5] C. H. Lin, P. Erb, T. Kiefer, S. Frik; Development of Simulation Based Side Airbag Algorithm; LS-Dyna Forum, 2008, E-II-1 – E-II-12.
[6] Y. Ahmad, K. A. Abu Kassim, M. H. Md Isal, S. Mustaffa; Comparing Occupant Injury in Vehicles Equipped with and without Frontal Airbag; Journal of the Society of Automotive Engineers Malaysia, 1-1 (January 2017) 55-62.
[7] Dr. Irving O. Ojalvo, Dr. Oren Masory; Proposed Extensions to Federally Mandated Bumper Testing; 1998 SAE International Congress & Exposition, Feb. (1998) 23-26.
[8] Gordon Mccomb; Arduino Robot Bonanza; McGraw-Hill Education TAB, 1-2013.
[9] Matthew Mckinnon; ARDUINO, 102; Createspace Independent Publishing Platform, Apr 12 2016.