EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 8 / No 1 (Janvier-Février 2007) Mécanique & Industries, 8 1 (2007) 1-6 References
Open Access
Issue
Mécanique & Industries
Volume 8, Number 1, Janvier-Février 2007
Page(s) 1 - 6
DOI https://doi.org/10.1051/meca:2007017
Published online 21 June 2007
  1. E. Caillaud, Modélisation des connaissances : aide à la conception des montages d'usinage, Thèse, Université de Bordeaux I, 1995 [Google Scholar]
  2. J.-L. Hou, A.J.C. Trappey, Computer-aided fixture design system for comprehensive modular fixtures, Int. J. Prod. Res. 39 (2001) 3703–3725 [CrossRef] [Google Scholar]
  3. J. Li, W. Ma, Y. Rong, Fixturing surface accessibility analysis for automated fixture design, Int. J. Prod. Res. 37 (1999) 2997–3016 [CrossRef] [Google Scholar]
  4. Z.J. Tao, A.S. Kumar, A.Y.C. Nee, A computational geometry approach to optimum clamping synthesis of machining fixtures, Int. J. Prod. Res. 37 (1999) 3495–3517 [CrossRef] [Google Scholar]
  5. W. Xie, S. Choudhuri, V. Subramanian, E.C. De Meter, M.W. Trethewey, Experimental assessment of a clamp actuation intensity analysis model, Int. J. Prod. Res. 38 (2000) 4611–4633 [CrossRef] [Google Scholar]
  6. A.Y.C. Nee, A.S. Kumar, Z.J. Tao, An intelligent fixture with a dynamic clamping scheme, Proc. Inst. Mech. Engrs. 214 (2000) 183–196 [Google Scholar]
  7. B. Li, S.N. Melkote, Fixture clamping force optimisation and its impact on workpiece location accuracy, Int. J. Adv. Man. Tech. 17 (2001) 104–113 [Google Scholar]
  8. J. Cecil, A Clamping Design Approach for Automated Fixture Design, Int. J. Adv. Man. Tech. 18 (2001) 784–789 [CrossRef] [Google Scholar]
  9. J. Cecil, Computer-Aided Fixture Design, A Review and Future Trends, Int. J. Adv. Man. Tech. 18 (2001) 790–793 [Google Scholar]
  10. Y. Wu, Y. Rong, W. Ma, S.R. LeClair, Automated modular fixture planning: geometric analysis, Rob. Comp. Int. Man. 14 (1998) 1–15 [CrossRef] [Google Scholar]
  11. A.S. Kumar, V. Subramaniam, K.C. Seow, Conceptual Design of Fixtures using Genetic Algorithms, Int. J. Adv. Man. Tech. 15 (1999) 79–84 [CrossRef] [Google Scholar]
  12. Y. Rong, W. Hu, Y. Kang, Y. Zhang, D.W. Yen, Locating error analysis and tolerance assignment for computer-aided fixture design, Int. P. Prod. Res. 39 (2001) 3529–3545 [CrossRef] [Google Scholar]
  13. A.S. Kumar, J.Y.H. Fuh, T.S. Kow, An automated design and assembly of interference-free modular fixture setup, Computer-Aided Design 32 (2000) 583–596 [CrossRef] [Google Scholar]
  14. W. Hu, Y. Rong, A fast interference checking algorithm for automated fixture design verification, Int. J. Adv. Man. Tech. 16 (2000) 571–581 [CrossRef] [Google Scholar]
  15. Y.G. Liao, S.J. Hu, An integrated model of a fixture–workpiece system for surface quality prediction, Int. J. Adv. Man. Tech. 17 (2001) 810–818 [Google Scholar]
  16. M.Y. Wang, D.M. Pelinescu, Contact force prediction and force closure analysis of a fixtured rigid workpiece with friction, J. Man. Sc. and Eng. 125 (2003) 316–324 [CrossRef] [Google Scholar]
  17. H. Paris, D. Brissaud, Integration of the machining point of view in the product modelling: the fixuring features, in Integrated Design and Manufacturing in Mechanical Engineering, Kluwer Academic Publishers, ed. Chedmail, Bocquet, Dornfeld, 1997, ISBN 0-7923-4739-O, IDMME conference, Nantes, May 1996, pp. 121–130 [Google Scholar]
  18. H. Paris, D. Brissaud, Process planning strategy based on fixturing indicators evaluation, Int. J. Adv. Man. Tech. 25 (2005) 913–922 [CrossRef] [Google Scholar]
  19. H. Paris, A. Voisin, Estimate of workpiece deformations while machining in a process planning Context, in 3rd International Conference on Integrated Design and Manufacturing in Mechanical Engineering, IDMME'2000, Montréal 17–19 May 2000, Presses Internationales Polytechnique, ed. C. Mascle, C. Fortin, J. Pegna, 2000 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.