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A Prototype of Sensor Module to Control the Position of Hull Block for Tack Welding

선체 블록의 판접 위치 획득을 위한 센서 모듈 시제품 개발

  • Jeon, Jeong-Ik (Department of Naval Architecture and Ocean Engineering, Graduate School, Inha University) ;
  • Lee, Jang-Hyun (Department of Naval Architecture and Ocean Engineering, Inha University) ;
  • Son, Gum-Jun (Department of Naval Architecture and Ocean Engineering, Graduate School, Inha University)
  • 전정익 (인하대학교 대학원 조선해양공학과) ;
  • 이장현 (인하대학교 조선해양공학과) ;
  • 손금준 (인하대학교 대학원 조선해양공학과)
  • Received : 2010.09.03
  • Accepted : 2012.01.06
  • Published : 2012.02.20

Abstract

Alignment of the main plates during the tack welding is essential to block assembly since most of the curved blocks and outfitting parts are assembled on the jigs and fixtures. Tact welding of main plates is the initial process of the curved hull block assembly. Due to the heavy weight of the main plates it is difficult to locate the plate on the accurate position of the jig and fixtures before welding. The conventional masonry process requires much time and manual work in order to achieve the accurate alignment. This labour-intensive process results in relatively high errors and correction works. Due to their larger dimensions and heavier weights, these hull blocks are not ergonomically desirable and, therefore, various mechanical devices such as hydraulic balancers or hydraulic jigs are used for the plate alignment. In this study, the position-sensing scheme implemented by sensors is presented in order to align the main plates on the accurate position during the hull block assembly. Integrating the Infrared photo sensors and micro processor unit, a small scaled prototype of the position-sensing module is developed to determine the alignment of main plates.

Keywords

References

  1. Atmel Corporation, 2004. 8 bit AVR Microcontroller ATmega128(L) manual, available online at http://www.atmel.com/.
  2. Atmel Corporation, 2005. AVR Studio 4.14, available online at http://www.atmel.com/.
  3. Autonix, 2008. BRSeries Manual: BR Cylindrical Housing DC Photo Electric Sensors from ASC Ph 03 9720 0211
  4. Akyildiz, I.F. Melodia, T. & Chowdhury, K.R., 2007. A survey on wireless multimedia sensor networks, Computer Networks, 51(4), pp.921-960. https://doi.org/10.1016/j.comnet.2006.10.002
  5. Jayaweera, N. & Webb, P. 2007. Adaptive robotic assembly of compliant aero-structure components, Robotics and Computer-Integrated Manufacturing, 23, pp.180-194. https://doi.org/10.1016/j.rcim.2006.04.002
  6. Kargl, A. Pyka, S. & Seuschek. H., 2008. Fast Arithmetic on ATmega128 for Elliptic Curve Cryptography, available online at http://eprint.iacr.org/2008/442.
  7. Kwon, Y. Park, Y. Hong, J. & Park, S.C., 2010. Sensor-based Remote Quality Control Application in Automotive Components Assembly, Concurrent Engineering: Research and Applications, 18(2), pp.141-155. https://doi.org/10.1177/1063293X10372793
  8. Kim, S.Y. Shin, S.C. Lee, D.M. & Park, H.S., 2009. A Study on Virtual Erection Block Positioning using Genetic Algorithm, Proceedings of KIIS Spring Conference(in Korean), pp.1532-1536.
  9. Kim, J.H. et al., 1996. Implementation of Automatic Teaching System for Subassembly Process in Shipbuilding, Journal of KWS, 14(2), pp.96-105.
  10. Lee, J. & Kim, C., 2007, On the Weld-Induced Deformation Control of Ship's Thin Plate Blck (I), Journal of the Society of Naval Architects of Korea, 44(5), pp.496-503. https://doi.org/10.3744/SNAK.2007.44.5.496
  11. Ruy, W.S. Yang, Y.S. Yun, Y.S. & Ko, D.E., 2009. Overlap-Avoidance Algorithm for Automation of Drawing Generation, Journal of the Society of Naval Architects of Korea, 46(6) pp.622-630. https://doi.org/10.3744/SNAK.2009.46.6.622
  12. Sharp, 2010. IR Sensor PD410PI datasheet, avaliable online at http://www.datasheetcatalog.com