[1]
H. Wang, Y. Rong, H. Li, P. Shaun. Computer aided fixture design: Recent research and trends. Computer-Aided Design 42 (2010) p.1085–1094.
DOI: 10.1016/j.cad.2010.07.003
Google Scholar
[2]
I. Boyle, Y. Rong, D.C. Brown. A review and analysis of current computer-aided fixture design approaches. Robotics and Computer-Integrated Manufacturing 27 (2011) p.1–12
DOI: 10.1016/j.rcim.2010.05.008
Google Scholar
[3]
Y. Wu, Y. Rong, W. Ma, S. LeClair. Automated modular Fixture planning: Geometric analysis. Robotics and Computer-Integrated Manufacturing 14 (1998) pp.1-15.
DOI: 10.1016/s0736-5845(97)00024-0
Google Scholar
[4]
D. Pelinescu, M.Y. Wang. Multi-objective optimal fixture layout design. Robotics and Computer Integrated Manufacturing 18 (2002) p.365–372.
DOI: 10.1016/s0736-5845(02)00027-3
Google Scholar
[5]
A.O. Andrisano, M. Ansaloni, F. Leali, M. Pellicciari, A. Vergnano. A novel method for sensitivity analysis and characterization in integrated engineering design. IMProVe 2011 - International Conference on Innovative Methods in Product Design - Proceedings 2011.
Google Scholar
[6]
A.O. Andrisano, F. Leali, M. Pellicciari,·F. Pini, A. Vergnano. Hybrid Reconfigurable System design and optimization through virtual prototyping and digital manufacturing tools. International Journal on Interactive Design and Manufacturing (IJIDeM) 6 (2012), pp.17-27.
DOI: 10.1007/s12008-011-0133-9
Google Scholar
[7]
M. Pellicciari, F. Leali, A. O. Andrisano, F. Pini. Enhancing changeability of automotive Hybrid Reconfigurable Systems in digital environments. International Journal on Interactive Design and Manufacturing (IJIDeM), November 2012, Volume 6, Issue 4, pp.251-263.
DOI: 10.1007/s12008-012-0156-x
Google Scholar
[8]
F. Chiesi, L. Governi. Tolerance analysis with eM-TolMate. Journal of Computing and Information Science in Engineering (2003), Volume 3, Issue 1, pp.100-105.
DOI: 10.1115/1.1574064
Google Scholar
[9]
L. Governi, R. Furferi, Y. Volpe. A genetic algorithms-based procedure for automatic tolerance allocation integrated in a commercial variation analysis software. Journal of Artificial Intelligence. (2012), Volume 5, Issue 3, pp.99-112.
DOI: 10.3923/jai.2012.99.112
Google Scholar