Parts formed using fused deposition modeling (FDM) can vary significantly in quality depending on the manufacturing process plan. Altering the plan profoundly affects the character of the resulting part. Although the designer and the machine user may have preferences regarding the part build and the relative importance of build outcomes such as production speed, dimensional accuracy, and surface quality, setting process variables to ensure desired results is a complex task. A multi‐objective decision support system has been developed to aid the user in setting FDM process variables in order to best achieve specific build goals and desired part characteristics. The method uses experimentation to quantify the effects of FDM process variables on part build goals, and to predict build outcomes and expected part quality. The system offers the user the ability to quantify the trade‐offs among conflicting goals while striving towards the best compromise solution.
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1 August 2001
Review Article|
August 01 2001
Computer aided decision support for fused deposition modeling Available to Purchase
C.W. Ziemian;
C.W. Ziemian
C.W. Ziemian is an Associate Professor of Mechanical Engineering, Bucknell University, Lewisburg, USA.
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P.M. Crawn, III
P.M. Crawn, III
P.M. Crawn III is a Mechanical Engineer at CENIX Inc., Allentown, USA.
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Publisher: Emerald Publishing
Online ISSN: 1758-7670
Print ISSN: 1355-2546
© MCB UP Limited
2001
Rapid Prototyping Journal (2001) 7 (3): 138–147.
Citation
Ziemian C, Crawn P (2001), "Computer aided decision support for fused deposition modeling". Rapid Prototyping Journal, Vol. 7 No. 3 pp. 138–147, doi: https://doi.org/10.1108/13552540110395538
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