Simulation in Single and Multi-Flow Direction of Airflow Sensor

  • Authors

    • Sukarnur Che Abdullah
    • Mohamad Dzulhelmy bin Amari
    • Amirul Shafiq bin Abdullah Sabil
    • . .
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.27.22486
  • Airflow sensor, Relative velocity, Single direction, Multi-flow direction.
  • Abstract

    This paper investigates simulation of air flow acting on the airflow sensor using the Computational Fluid Dynamic (CFD) approach. Simulation is carried out to evaluate the performance of airflow sensor by analysing small change of the air flow acting on the airflow sensor structure. Identification of the characteristics and parameters for the sensor in motion was done to achieve higher accuracy of the airflow result. Analyzation stage from the obtained data comprehending the behaviour of the airflow in higher accuracy while sensor in motion will be verified by detection of high sensitivity in relative velocity of the airflow sensor compared to conventional sensor. Therefore, an analysis was conducted with three different airflow directions involving necessary boundary condition and parameter. The efficiency from the tabulated data for dynamic motion has also been determined by comparing simulation data with calculation. All simulations and analyses were completed using the ANSYS software.

     

  • References

    1. [1] M. D. bin Amari, S. C. Abdullah and M. A. Ayub (2018), "Concept development stage of hyper sensitivity dynamic airflow sensor in low velocity region," 2018 3rd International Conference on Control and Robotics Engineering (ICCRE), Nagoya, pp. 147-150.

      [2] M. D. bin Amari and S. C. Abdullah (2017), “A Model for Hypersensitive Airflow Sensor Conceptâ€, Journal of Mechanical Engineering, Vol. SI 4(3), 163-174, 2017.

      [3] T. R. Ohnstein,R.G. Johnson, R. E. Higashi, D. W. Burns, J. O. Holmen, E. A Satren, el al.,editor(1990). “Environmentally rugged, wide dynamic range microstructure airflow sensor†Technical Digest, Solid-State Sensor and Actuator Workshop.

      [4] M. M. Ji L. Piao and B.H.Li(2011),â€Three-dimentional modeling and simulation for airflow inclination sensorâ€. Advance material Research, 640-645.

      [5] N. Svedin, E. Kälvesten, and G. Stemme (2003), “A lift force sensor with integrated hot-chips for wide range flow measurements,†Sensors Actuators, A Phys., vol. 109, no. 1–2, pp. 120–130.

      [6] A. A Bent, N.W.Hagood and J. P Rodgers, (2003) “Anisotropic actuation with piezoelectric fiber composites†Journal of Intelligent Material Systems and Structures,6, 338-349.

      [7] H. Sato, Y, Shimojo and T. Sekiya, “Development of smart board using metal core piezoelectric complex fibres†12th International Conference on Transducers.

      [8] M. J. Zulhaidi, S. Rohayu, W. S. Voon, and S. Ahmad Farhan, (2009), Weather as a road safety hazard in Malaysia-an overview.

      [9] L.Xinbo, et al. (2016),â€Wind speed and direction measurement based on are ultrasonic sensor arry signal processing algorithmâ€ISA Transactions 65,437-445.

      [10] J. Torres, J. Cotelo, J. Karl, and A. P. Gordon (2015) “Mechanical property optimization of FDM PLA in shear with multiple objectives,†Jom, vol. 67, no. 5, pp. 1183–1190.

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  • How to Cite

    Che Abdullah, S., Dzulhelmy bin Amari, M., Shafiq bin Abdullah Sabil, A., & ., . (2018). Simulation in Single and Multi-Flow Direction of Airflow Sensor. International Journal of Engineering & Technology, 7(4.27), 83-86. https://doi.org/10.14419/ijet.v7i4.27.22486

    Received date: 2018-11-30

    Accepted date: 2018-11-30

    Published date: 2018-11-30