Optimization of Velocity Flap Structures in High Sensitivity Macrofluidic Airflow Sensor

  • Authors

    • Mohamad Dzulhelmy bin Amari
    • Muhamad Saifuddin b. Abdull Shukor
    • Sukarnur Che Abdullah
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.27.22428
  • Airflow sensor, High velocity flap, Low velocity flap, High sensitivity, Optimization.
  • Automated reaction from the system is most important in fulfilling the requirement of the intelligent control system. Hence, many related studies regarding in developing the hardware of the system such as high sensitivity of the airflow sensor in detecting the changes either in user or the environment. The effect of the fast detection of the sensor through the high sensitivity of the airflow sensor have enable the system to identify and analyze the behavior of the user in higher accuracy compared to conventional system. Within the scope of airflow sensitivity, separation between two parts in the airflow sensor in altering the velocity impact have been inquired in purpose, while a few investigations in relations to determine the pressure contour of the main parts have been explored by application of using Computational Fluid Dynamics (CFD. This simulation is performed in the ANSYS program software. Thus, this study consequently intends to be focus on detection the high sensitivity of the airflow movement by distinguishing the high and low velocity impact. The optimization the airflow sensor in this study based on design parameter also done in order to design and develop a highly sensitive airflow sensor

     

     

     
  • References

    1. [1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci (2002), “A survey on sensor networks,†IEEE Commun. Mag., vol. 40, no. 8, pp. 102–105.

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

      [3] K. A. Ishak, M. M. Sani, N. M. Tahir, S. A. Samad, and A. Hussain (2006), “A Speed limit Sign Recognition System Using Artificial Neural Network,†2006 4th Student Conf. Res. Dev., no. SCOReD, pp. 127–131.

      [4] 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.

      [5] F. Application, P. Data, A. K. Cheung, L. W. Henderson, and P. E. Sever (1990), “United States Patent [19],†vol. M, no. 5.

      [6] 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. 1183–1193.

      [7] D. Y. W. Yu and F. Spaepen (2004) “The yield strength of thin copper films on Kapton,†J. Appl. Phys., vol. 95, no. 6, pp. 2991–2997.

      [8] Y. H. Wang, C. Y. Lee, and C. M. Chiang (2007) “A MEMS-based air flow sensor with a free-standing microcantilever structure,†Sensors, vol. 7, no. 10, pp. 2389–2401.

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  • How to Cite

    Dzulhelmy bin Amari, M., Saifuddin b. Abdull Shukor, M., & Che Abdullah, S. (2018). Optimization of Velocity Flap Structures in High Sensitivity Macrofluidic Airflow Sensor. International Journal of Engineering & Technology, 7(4.27), 11-15. https://doi.org/10.14419/ijet.v7i4.27.22428