Statistical analysis of the stereolithographic process to improve the accuracy

Stereolithography (SL) is a widely used technology in the field of rapid prototyping. However, the dimensional accuracy of SL products is today still limited; therefore, this technology needs to be optimized for high precision applications. This paper presents a statistical analysis of the stereolithographic process, in order to find out the combination of parameters leading to the best accuracy of the manufactured parts. A particular benchmark was designed and a global error index was introduced to evaluate the global distortion of built parts. The Taguchi methodology was employed for the optimization. A Viper Si"2 machine by 3D Systems was used in both the modalities allowed from this system: Normal and High Resolution. Moreover, a detailed analysis of the resin polymerization mechanism was performed; from this study it emerged that the post-curing process is not always necessary if the process parameters are chosen for not having uncured areas.

[1]  Jerry Y. H. Fuh,et al.  Curing characteristics of acrylic photopolymer used in stereolithography process , 1999 .

[2]  A. Aggelopoulos,et al.  Study of shrinkage strains in a stereolithography cured acrylic photopolymer resin , 2003 .

[3]  Paul F. Jacobs,et al.  Rapid Prototyping & Manufacturing: Fundamentals of Stereolithography , 1992 .

[4]  Ming-Chuan Leu,et al.  Determining optimal parameters for stereolithography processes via genetic algorithm , 2000 .

[5]  Andrew Y. C. Nee,et al.  Improvement of the UV curing process for the laser lithography technique , 1995 .

[6]  Douglas C. Montgomery,et al.  Optimizing stereolithography throughput , 1997 .

[7]  C. A. McMahon,et al.  Hybrid Computer Database Systems for Materials Engineering , 1995 .

[8]  Andrew Y. C. Nee,et al.  Origin of shrinkage, distortion and fracture of photopolymerized material , 1995 .

[9]  Yoo Sang Choo,et al.  Material Characterization of Photo-Fabrication Process , 1995 .

[10]  Eugenio Oñate,et al.  Numerical analysis of stereolithography processes using the finite element method , 1995 .

[11]  Paul F. Jacobs,et al.  Stereolithography and Other Rp&m Technologies: From Rapid Prototyping to Rapid Tooling , 1995 .

[12]  C. M. Cheah,et al.  Influence of process parameters on stereolithography part shrinkage , 1996 .

[13]  Jerry Y. H. Fuh,et al.  Processing and characterising photo-sensitive polymer in the rapid prototyping process , 1999 .

[14]  Ming-Chuan Leu,et al.  Evaluating the Contributions of Process Parameters in SLA Using Artificial Neural Network , 1997 .