Measuring and maintaining acceleration records obtained from 3D MEMS

  • Authors

    • K. Ravali
    • Dr. ASR.Murty
    • V. Pavani
    • B. Prathyusha
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.21150
  • Accelerometer, Calibration, MEMS, Thing Speak, NODE MCU

  • Tracing or tracking of an object or a link is needed in many engineering applications. Achieving it in real time applications using MEMS or the traditional accelerometers is also a well-known method. Measuring acceleration in [3] directions is needed in handling equipment, material transfer and in manufacturing industry.

    In this work, Calibration of accelerometer sensor ADXL335 is carried out first to show the accurate values of „g‟. Then, the measurement of acceleration is carried out as per the code written in Arduino IDE. ADXL335 is interfaced with NODE MCU. NODE MCU uses HTTP protocol to send the measured acceleration values to cloud platform. ThingSpeak is the cloud platform chosen for this purpose. ThingSpeak requires selection of a number of fields. Here we have three values to be taken to cloud (X, Y and Z directions).For display purposes a mobile is used in conjunction with MIT App Inventor. Acceleration record files can be obtained that may be processed further. The application contains three buttons forward, side and vertical which displays the acceleration values across X, Y and Z directions respectively. The acceleration values are further integrated to obtain velocity and displacement .It can be done through 2 ways like ana- log integration and digital integration. But the analog integration is reliable only to measure the sinusoidal steady state values. So the digital integration is much better for obtaining a displacement signal from acceleration. It is possible to use these components for further processing and applications like ultrasonic applications, military devices namely mixers, elevators, mechanically handling equipment‟s and information handling devices like iPad, phones etc.

     

     

  • References

    1. [1] Dr. Guillaume Girard in†Technologies and sensors for the Internet of things†business Market 2014.

      [2] Prime Faraday Partnership†An introduction to mems†Wolfson School of Mechanical and Manufacturing Engineering published in 2002.

      [3] Won-Suk Jang, (2006) “Wireless network-based tracking and monitoring on project sites of construction materialsâ€, Department of Civil and Environmental Engineering, University of Maryland, College Park, USA.

      [4] G.K. Anantha suresh, MEAM/EE 550 Design and Modelling of Micro-Electro-Mechanical Systems [MEMS] (Fall 1998, Fall 2001, Spring 2004). [5] The 24th international symposium on semiconductor manufacturing on December 12– 13 2016 (in con- junction with semi on japan 2016) kfc hall, ryogoku, Tokyo, ja- pan.

      [5] Henne van Heeren, Patric Salomonâ€MEMS recent develop- ment and future Directions†Electronics Enabled Products Knowledge Transfer Network Wolfson School of Mechanical and Manufacturing Engineering, published in 2007.

      [6] Seungbae Lee, Gi-Joon Nam, Junseok Chae, Hanseup Kim, and Alan J. Drake â€Two-dimensional position detection system with MEMS accelerometer for mouse applicationsâ€. Ann Arb MI 48109-2122.

      [7] J.K. Perng, B. Fisher, S. Hollar, and K.S.J. Pister, “Accelera- tion Sensing Gloves,†Wearable Computers, 1999. Digest of Pa- pers, August 2002.

      [8] Kone Corporation Finland, “condition monitoring system,†patent no. US 7823706 B2, April 2005.

      [9] Davide Curone, Gian Mario Bertolotti, “A Real-Time and Self- Calibrating Algorithm Based on Triaxle Accelerometer Signals for the Detection of Human Posture and Activity,†IEEE Engineering in Medicine and Biology Society , Volume 14, Issue 4, pp 1098 – 1105, May 2010.

  • Downloads

  • How to Cite

    Ravali, K., ASR.Murty, D., Pavani, V., & Prathyusha, B. (2018). Measuring and maintaining acceleration records obtained from 3D MEMS. International Journal of Engineering & Technology, 7(4.5), 530-533. https://doi.org/10.14419/ijet.v7i4.5.21150