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Benchmark Study of Rapid Prototyping Processes and the Development of Decision-support System to Select Appropriate RP Process and Machine  

Yi Il Lang (한국생산기술연구원 생산정보팀)
Chung Il Yong (한국생산기술연구원 생산정보팀)
Choi Byung Wook (한국생산기술연구원 생산정보팀)
Keum Young Tag (한양대학교 기계공학과)
Publication Information
Abstract
In this paper, benchmark tests of Rapid Prototyping(RP) are presented to evaluate characteristics of various RP Systems and Processes, and several decision-support systems are developed to select RP Machine/Process suitable to user's requirements. Results of the RP benchmark tests are applied to the recently developed RP machines for the purpose of analyzing attributes such as dimensional accuracy, surface roughness, build cost, build time, and etc. Decision-making support systems are also developed, which contain not only new LCE (Linear Confidence Equation) algorithm but also modified PRES and MDS algorithm. Those algorithms are proved to be effective in that reasonably acceptable results are obtained on several cases of different inputs.
Keywords
Rapid prototyping; Benchmark test; Decision-support system; LCE algorithm; Modified MDS algorithm;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Aragones, P., Gomez-Senent, E. and Paster, J. P., 'Ordering the Alternatives of a Strategic Plan for Valencia(Spain),' Journal of Multi-Criteria Decision Analysis, Vol. 10, pp. 153-171, 2001   DOI   ScienceOn
2 Triantaphyllou, E., 'Multi-Criteria Decision Making Methods: A comparative Study,' Kluwer Academic Publishers, 2000
3 Saaty, T. L., 'Multi-criteria Decision Making: The Analytic Hierarchy Process,' RWS PWS Publications, Pittsburgh, 1990
4 Marvin, Schaefer, 'A Mathematical Theory of Global Program Optimization,' Prentice Hall, 1973
5 Kwan, H. Lee, Son, Seokbae and Park, Hyunpung, 'Measurement Systems for Rapid Product Development,' Journal of the Korean Society of Precision Engineering, Vol. 17, No. 10, pp. 26-34, 2000   과학기술학회마을
6 Masood, S. H. and Soo, A., 'A rule based expert system for rapid prototyping system selection,' Robotics and Computer Integrated Manufacturing (RCM : 325), pp. 267-274, 2002   DOI   ScienceOn
7 Choi, B. W., Chung, I. Y. and Yi, I. L, 'IMS Rapid Product Development Project 3rd Report,' pp.19-26, 2003
8 Shellabear, M., 'Benchmark study of accuracy and surface quality in RP models,' Brite-EURam project BE-2501; RAPTEC, 1999
9 Byun, H. S., Shin H. J. and Lee, K. H., 'Design of benchmarking part and selection of optimal rapid prototyping processes,' Progress in Rapid Prototyping and Rapid Manufacturing; ICRPM 2002, pp. 469-477, 2002
10 Phillipson, D. K., 'Rapid prototyping machine selection program,' M. Sc. Thesis, Arizona State University, 1996
11 Loose, K. and Nakagawa, T., 'Benchmarking various methods of layer manufacturing systems in Rapid Prototyping,' 1998
12 Childs, T. H. C. and Juster, N. P., 'Linear and geometric accuracies from layer manufacturing,' Annals of the CIRP, Vol. 43, pp. 163-166, 1994   DOI
13 Ippolito, R. and Luliano, L., 'Benchmarking of rapid prototyping techniques in terms of dimensional accuracy and surface finish,' Annals of CIRP, Vol. 44 pp. 157-160, 1995   DOI
14 Hornberger, L.E., 'Rapid prototyping program,' Santa Clara University, California, 1993
15 Muller, H., Bauer, J. and Klingenberg, H. H., 'Computer-based rapid prototyping system selection and support,' TCT'96 Conference pp. 8, 1996
16 Vijay, K. Varadan, Xiaoning, Jiang and Vasundrar, V. Varadan, 'Microstereolithography and other Fabrication Techniques for 3D MEMS,' JOHN WILEY & SONS, LTD, pp. 103-108, 2001