Empirical laser sintering time estimator for Duraform PA

References

• Clemson University . 1994 . Build-time Estimate Program Slitime , Clemson, SC : Clemson University .
   Google Scholar
• Chen , C and Sullivan , P . 1996 . Predicting total build-time and the resultant cure depth of the 3D Stereolithography process . Rapid Prototyp. J. , 2 : 27 – 40 .
   Web of Science ®Google Scholar
• Choi , S and Samevedam , S . 2002 . Modelling and optimisation of rapid prototyping . Comput. Ind. , 47 : 39 – 53 .
   Web of Science ®Google Scholar
• Diane , A , Chue , K and Montgomery , D . 1997 . Optimising stereolithography throughput . J. Manuf. Sys. , 16 : 290 – 303 .
   Web of Science ®Google Scholar
• Grimm , T . 1994 . User's guide to Rapid Prototyping , Society of Manufacturing Engineers, Rapid Prototyping Association of SME .
   Google Scholar
• Hague , R , Campbell , I and Dickens , P . 2003 . Implications on design of rapid manufacturing . Proc. Inst. Mech. Eng. C. J. Mech. Eng. Sci. , 217 : 25 – 30 .
   Web of Science ®Google Scholar
• Hopkinson , N and Dickens , P . 2001 . Rapid prototyping for direct manufacture . Rapid Prototyp. J. , 7 : 197 – 202 .
   Web of Science ®Google Scholar
• Hopkinson , N and Dickens , P . 2003 . Analysis of rapid manufacturing — using layer manufacturing processes for production . Proc. Inst. Mech. Eng. C. J. Mech. Eng. Sci. , 217 : 31 – 39 .
   Web of Science ®Google Scholar
• Kamash , T and Flynn , D . 1995 . “ Build-time estimator for stereolithography machines – a preliminary report ” . In Prototype Express Vol. II , Schaumburg
   Google Scholar
• Kochan , A . 2003a . Renault aligns production to market demand . Assemb. Automat. , 23 ( 4 ) : 331 – 335 .
   Web of Science ®Google Scholar
• Kochan , A . 2003b . Rapid prototyping helps Renault F1 Team UK improve championship prospects . Assemb. Automat. , 23 ( 4 ) : 336 – 339 .
   Web of Science ®Google Scholar
• Marsan , A , Allen , S , Kulkarni , P and Dutta , D . An integrated software system for process planning for layered manufacturing . Proceeding of the Solid Freeform Fabrication Symposium . pp. 661 – 668 .
   Google Scholar
• Plastic Machine and Auxilaries Online, Words of wisdom: rapid manufacturing on the horizon , Available online at: http://www.pma-magazine.com/articles/2003/October/4 (accessed on 13 September 2005)
   Google Scholar
• Sherman , LM . Rapid prototyping: pretty soon, you won't be able to get along without it. Plastics Technology Online , Available online at: http://www.plasticstechnology.com/articles/200102fa2.html) (accessed on 13 September 2005)
   Google Scholar
• Thomson , D and Craword , R . 1997 . Computational quality measures for evaluation of part orientation in freeform fabrication . J. Manuf. Sys. , 16 : 273 – 289 .
   Web of Science ®Google Scholar
• Thomson , D and Craword , R . Optimising part quality with orientation . Proceeding of the Solid Freeform Fabrication Symposium . pp. 362 – 368 .
   Google Scholar
• Wohlers , T . 2004 . Wohlers Report 2004 . Annual Worldwide Progress Report . 2004 . Wohlers Associates, Inc. .
   Google Scholar
• Wohlersassociates . Physical and mechanical properties datasheet for RM materials , Available online at: http://wohlersassociates.com/materials2005.pdf) (accessed on 13 October 2005).
   Google Scholar
• Woodzaik , J , Fadel , G and Kirschman , C . 1994 . A genetic algorithm for optimising multiple part placement to reduce build-time . Proceeding of the 5th International Conference on Rapid Prototyping . 1994 .
   Google Scholar
• Zhou , J and Hersovici , D . 1997 . Parameter tuning and optimisation for SLA rapid prototyping manufacturing processes . Proceeding of the International Conference on Manufacturing Automation (ICMA’97) . 1997 . Vol. 2 , pp. 894 – 902 .
   Google Scholar