Browse > Article
http://dx.doi.org/10.6117/kmeps.2021.28.4.063

Study of IoT Module Package Design Optimization for Drop Testing by Drone  

Jo, Eunsol (Electronic Packaging Research Center, Kangnam University)
Kim, Gu-Sung (Electronic Packaging Research Center, Kangnam University)
Publication Information
Journal of the Microelectronics and Packaging Society / v.28, no.4, 2021 , pp. 63-67 More about this Journal
Abstract
In order to detect fires that may not be visible to the naked eye, an IoT module that uses changes in Carbon dioxide (CO2) levels and temperature to effectively identify ambers (dying flames) was developed. Finite element analysis was then used to optimize the packaging for this module. Given the nature of ambers, the low power long range LoRa (Long Range) technology was used in the development of this module. To protect the module, a number of packages were designed, and comparative analysis performed on the stress generated when they fall. The results of which show that Model C showed the lowest stress. In addition, unlike other models in which stress concentration was predicted in the module mounting part of the package, in this model the stress concentration phenomenon was predicted in the wing part. It was therefore determined that this approach is ideal for protecting the internal module, and a package to which this was applied was manufactured.
Keywords
IoT; FEM; Drop Test; Stress;
Citations & Related Records
연도 인용수 순위
  • Reference
1 T. Y. Tee, H. S. Ng, C. T. Lim, E. Pek and Z. Zhong, "Impact life prediction modeling of TFBGA packages under board level drop test", Microelectronics Reliability, 44(7), pp.1133-1135 (2004).
2 R. Quey, P. R. Dawson, F. Barbe, "Large-scale 3D random polycrystals for the finite element method: Generation, meshing and remeshing", Comput. Methods Appl. Mech. Eng, 200(17-20), pp.1729-1730 (2011).   DOI
3 H. J. Jung, D. H. Lee, "LPWA Network Technology and Test Certification Trends for IoT (in Kor.)", Telecommunications Technology Association(TTA) Journal ,178, pp.94-97 (2018)
4 T. J. Park, K. S. Lee, W. C. Jeong, B. C. Choi and H. C. Bang, "LPWA IoT Network Technology Trends", Electronics and Telecommunications Research Institute (ETRI), pp.47-51 (2017).
5 K. Mekki, E. Bajic, F. Chaxel and F. Meyer, "A comparative study of LPWAN technologies for large-scale IoT deployment", The Korean Institute of Communications and Information Sciences (KICS), 5(1), pp. 3 (2019).
6 Y. H. Bae, "100 minute flight, thermal imaging camera extinguishing forest fire monitoring drone(in Kor.)", Yonhap News Agency, (May. 29, 2019) from https://www.yna.co.kr/view/AKR20190529120100062.
7 S. H. Choe, J. H. Yoo, P. S. S. Tissera, J. I. Kang and H. K. Yang, "Event Processing-based Low-Power Low-Cost Wireless Sensor Network for Real Time Wildfire Monitoring", The Transactions of the Korean Institute of Electrical Engineers, 69(5), pp.706-708 (2020).   DOI
8 B. D. Lee, "Development of portable thermal imaging camera that detects small fire (in Kor.)", Forest science information 227, pp. 4-5.
9 T. M. Kang, D. W. Lee, Y. K. Hwang, Q. H. Chung and B. K. Yoo, "A Study on the Correlation Between Board Level Drop Test Experiment and Simulation", J. Microelectron. Packag. Soc., 18(2), pp.35-36 (2011).   DOI
10 S. H. Mah and B. S. Kim, "LoRa Technology Analysis and LoRa Use Case Analysis By Country", The Journal of The Institute of Internet Broadcasting and Communication (IIBC), 19(1), pp.15-16 (2019).   DOI
11 C. M. Jang and S. K. Kim., "Prediction of Impact Life Time in Solder Balls of the Board Level Flip Chips by Drop Simulations", Journal of the Korean Society of Manufacturing Technology Engineers, 23(3), pp.237-242 (2014).   DOI
12 Y. J. Park, K. H. Kim and J. H. Kang, "A residual fire detection system using a d rone equipped with a thermal imaging camera", Republic of Korea, 10-1768012 (2017).
13 B. C. Ko, "IoT Technology for Forest Fire Disaster Monitoring (in Kor.)", Broadcasting and media magazine, 20(3), pp. 91-92 (2015).
14 Korea Forest Service, "2019 Forest Fire Statistics Yearbook (in Kor.)", Daejeon, pp. 118 (2020).
15 Korea Forest Research Institute, "Management Technology to Prevent the Spread of Residual Fire (in Kor.)", Seoul, pp. 1-21 (2009).