Free-form Surface Generation from Measuring Points using Laser Scanner

  • Park, Jae-Won (Dept. of Mechanical and intelligent systems engineering, Pusan National University) ;
  • Hur, Sugn-Min (Dept. of Mechanical and intelligent systems engineering, Pusan National University) ;
  • Lee, Seok-Hee (School of Mechanical Engineering, Pusan National University)
  • Published : 2002.10.01

Abstract

With the development of a laser scanner of high precision and increased speed, reverse engineering becomes a key approach to reduce the time for the development of new products. But the modeling process is not so automated enough until now. Modeling in real workshops is usually performed by the experienced operators and it requires a skillful technique to get the resultant surface of high quality and precision. In this paper, a systematic solution is proposed to automate the free-form surface generation from the measured point data. Compatibility is imposed to the measured point data during input curve generation. And the compatibility of cross-sectional curve is also considered for the loft surface generation. The data in each step is produced in IGES file format to make an easy interface to other CAD/CAM software without any further data manipulation.

Keywords

References

  1. T. Varady, R. Martin, and J. Cox, 'Reverse engineering of geometric models an introduction,' Computer- Aided Design, Vol. 29, No. 4, pp. 255-268, 1997 https://doi.org/10.1016/S0010-4485(96)00054-1
  2. J. P. Kruth, and A. Kerstens, 'Reverse engineering modelling of free-form surfaces from point clouds subject to boundary conditions,' Journal of Materials Processing Technology, Vol. 76, pp. 120-127, 1998 https://doi.org/10.1016/S0924-0136(97)00341-5
  3. L. Piegl, and W. Tiller, 'Algorithm for approximate NURBS skinning,' Computer Aided Design, Vol. 28, No. 9, pp. 699-706, 1996 https://doi.org/10.1016/0010-4485(95)00084-4
  4. A. Werner, K. Skalski, S. Piszczatowski, W. Swieszkowski, and Z. Lechniak, 'Reverse engineering of free-form surfaces,' Journal of Materials Processing Technology, Vol. 76, pp. 128-132, 1998 https://doi.org/10.1016/S0924-0136(97)00340-3
  5. B. Sarkar, and C. H. Menq, 'Smooth surface approximation and reverse engineering,' Computer Aided Design, Vol. 23, No. 9, pp. 623-628, 1991 https://doi.org/10.1016/0010-4485(91)90038-X
  6. M. Cho, T. Seo, J. Kim, and O. Kwon, 'Reverse engineering of compound surfaces using boundary detection method,' KSME international Journal, Vol. 14, No. 10, pp. 1104-1113, 2000 https://doi.org/10.1007/BF03185064
  7. Y. H. Chen, and Y. Z. Wang, 'Genetic algorithms for optimized rethangulation in the context of reverse engineering,' Computer-Aided Design, Vol. 31, No. 4, pp. 261-271, 1999 https://doi.org/10.1016/S0010-4485(99)00026-3
  8. P. Gu and X. Yan, 'Neural network approach to the reconstruction of freeform surfaces for reverse engineering,' Computer-Aided Design, Vol. 27, No. 1, pp. 59-64, 1995 https://doi.org/10.1016/0010-4485(95)90753-3
  9. H. Park, and K. Kim, 'Smooth surface approximation to serial cross-sections,' Computer-Aided Design, Vol. 28, No. 12, pp. 995-1005, 1996 https://doi.org/10.1016/0010-4485(96)00019-X
  10. S. Liu, and W. Ma, 'Seed-growing segmentation of 3-D surfaces from CT contour data,' Computer-Aided Design, Vol. 31, No. 8, pp. 517-536, 1999 https://doi.org/10.1016/S0010-4485(99)00050-0
  11. L. Piegl, and W. Tiller, The NURBS Book 2nd Edition, Springer, 1997