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CLC number: TP391.72; TP391.73; TH164

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2010-10-29

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Journal of Zhejiang University SCIENCE A 2010 Vol.11 No.12 P.972-977

http://doi.org/10.1631/jzus.A1001365


Analysis on fused deposition modelling performance


Author(s):  Nur Saaidah Abu Bakar, Mohd Rizal Alkahari, Hambali Boejang

Affiliation(s):  Department of Design and Innovation, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Locked Bag 1752, Pejabat Pos Durian Tunggal, 76109 Durian Tunggal, Melaka, Malaysia

Corresponding email(s):   nursaaidah@gmail.com, rizalalkahari@utem.edu.my, hambaliboejang@utem.edu.my

Key Words:  Rapid prototyping (RP), Fused deposition modelling (FDM), Dimensional accuracy, Surface roughness


Nur Saaidah Abu Bakar, Mohd Rizal Alkahari, Hambali Boejang. Analysis on fused deposition modelling performance[J]. Journal of Zhejiang University Science A, 2010, 11(12): 972-977.

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author="Nur Saaidah Abu Bakar, Mohd Rizal Alkahari, Hambali Boejang",
journal="Journal of Zhejiang University Science A",
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pages="972-977",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1001365"
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Abstract: 
fused deposition modelling (FDM) is one of rapid prototyping (RP) technologies which uses an additive fabrication approach. Each commercially available FDM model has different types of process parameters for different applications. Some of the desired parts require excellent surface finish as well as good tolerance. The most common parameters requiring setup are the raster angle, tool path, slice thickness, build orientation, and deposition speed. The purpose of this paper is to discuss the process parameters of FDM Prodigy Plus (Stratasys, Inc., Eden Prairie, MN, USA). Various selected parameters were tested and the optimum condition was proposed. The quality of the parts produced was accessed in terms of dimensional accuracy and surface finish. The optimum parameters obtained were then applied in the fabrication of the master pattern prior to silicone rubber moulding (SRM). These parameters would reduce the post processing time. The dimensional accuracy and surface roughness were analyzed using coordinate measuring machine (CMM) and surface roughness tester, respectively. Based on this study, the recommended parameters will improve the quality of the FDM parts produced in terms of dimensional accuracy and surface roughness for the application of SRM.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[5]Grimm, T., 2003. Fused Deposition Modeling: A Technology Evaluation. Available from http://www. time-compression.com/articles/html/fused_deposition.html [Accessed on Apr. 4, 2010]

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[12]Mahesh, S., Wong, Y.S., Fuh, J.Y.H., Loh, H.T., 2004. Benchmarking for comparative evaluation of RP systems and processes. Rapid Prototyping Journal, 10(2):123-135.

[13]Nooraini, R., 2006. Rapid Prototyping Principles and Applications. Wiley, New Jersey, p.86.

[14]Rahmati, S., Akbari, J., Barati, E., 2007. Dimensional accuracy analysis of wax patterns created by RTV silicon rubber molding using Taguchi approach. Rapid Prototyping Journal, 13(2):115-122.

[15]Sun, Q., Rizvi, G.M., Bellehumeur, C.T., Gu, P., 2008. Effect of processing conditions on the bonding quality of FDM polymer filaments. Rapid Prototyping Journal, 14(2):72-80.

[16]Zhang, Y., Chou, K., 2008. A parametric study of part distortions in fused deposition modelling using three-dimensional finite element analysis. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 222(8):959-967.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

coordinate measuring machine@http://www.novacam.com/products/profilometers/<profilometer@gmail.com>

2012-02-09 10:39:35

What coordinate measuring machine was used in this study?

Please provide your name, email address and a comment





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