Journal of the Korean Society of Manufacturing Technology Engineers (한국생산제조학회지)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
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Development of a Wireless Telemetry Measurement Algorithm Using Smart Phones and Digital Image Correlation

스마트 폰과 이미지 상관법을 이용한 무선 원격 계측 알고리즘 개발

  • Choi, In Young (Department of Mechanical Design, Graduate School of Chonbuk National University) ;
  • Kang, Young June (Department of Mechanical Design Engineering, Chonbuk National University) ;
  • Hong, Kyung Min (Department of Mechanical Design, Graduate School of Chonbuk National University) ;
  • Kim, Seong Jong (Department of Business Incubator Center, Chonbuk National University) ;
  • Lee, Hae Gyu (Department of Mechanical Design, Graduate School of Chonbuk National University)
  • Received : 2015.04.23
  • Accepted : 2015.08.11
  • Published : 2015.08.15
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Abstract

A smart phone is a multimedia device that is a necessity for modern people. It includes a wireless networking system to share information and pictures. However, numerous smart phones are discarded every year, since they have a very fast technology development cycle. This paper presents the development of a telemetry algorithm to measure displacement and strain with a discarded smart phone and digital image correlation methods. To implement the measurement algorithm, the LabVIEW 2010 program development platform was used. In order to verify reliability, an open hole tension test was conducted using a smart phone and a universal test machine. In addition, the measurement results from the smart phone were compared with FEM analysis results.

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References

  1. Bing, P., Kemao, Q., Huimin, X., Anand, A., 2009, Two-dimensional Digital Image Correlation For In-plane Displacement and Strain Measurement : A Review, Measurement Science and Technology, 20:6 1-17.
  2. Bing, P., Wu, D., Xia, Y., 2012, Incremental Calculation for Large Deformation Measurement using Reliability-guided Digital Image Correlation, Optics and Lasers in Engineering, 50:4 586-592. https://doi.org/10.1016/j.optlaseng.2011.05.005
  3. Hongjian, S., Hongwei, J., Goubiao, Y., Xiaoyuna, H., 2013, Shape and Deformation Measurement System by Combining Fringe Projection and Digital Image Correlation, Optics and Lasers in Engineering. 51:1 47-53. https://doi.org/10.1016/j.optlaseng.2012.07.020
  4. Helm, J. D., 2008, Digital Image Correlation for Specimens with Multiple Growing Cracks, Society for Experimental Mechanics, 480 753-762.
  5. David, C., Matteo, A., Lori, G. B., Surendra, S., 2007, Digital Image Correlation Analysis of Interfacial Debonding Properties and Fracture Behavior in Concrete, Engineering Fracture Mechanics, 74:1-2 109-121. https://doi.org/10.1016/j.engfracmech.2006.01.035
  6. Satoru, Y., Akikazu, K., Koji, K., Hisao, K., 2006, In-plane Displacement Measurement using Digital Image Correlation with Lens Distortion, The Japan Society of Mechanical Engineers, 49:3 458-467.
  7. Jorge, A. B., John, L., 2002, Investigation of Crack Growth in Functionally Graded Materials Using Digital Image Correlation, Engineering Fracture Mechanics, 69:14-16 1695-1711. https://doi.org/10.1016/S0013-7944(02)00058-9
  8. Streve, V., Joirs, V., Roberto, L., Patrick, G., 2009, A Digital Image Correlation Method for Fatigue Test Experiments, Optics and Lasers in Engineering. 47:3-4 371-378. https://doi.org/10.1016/j.optlaseng.2008.03.016
  9. Korean Standard 2007, Test Pieces for Tensile Test for Metallic Materials, KS D 0801, Republic of Korea.
  10. ASTM D 5766 2011, Standard Test Method for Open-hole Tensile Strength of Polymer Matrix Composite Laminates.