Modeling the process parameters of RP-FDM using ANOVA and RESPONSE SURFACE METHODOLOGY for PC-ABS materials
01 Mar 2016-pp 2059-2062
TL;DR: In this paper, an experimental design technique for determining the optimum surface finish, dimensional accuracy and porosity of a part built by Fused Deposition Modelling (FDM) process and mathematical modelling of the process parameters is described.
Abstract: This paper describes an experimental design technique for determining the optimum surface finish, dimensional accuracy and porosity of a part built by Fused Deposition Modelling (FDM) process and mathematical modelling of the process parameters. It also explains the contribution effect of slice height, raster width, air gap, orientation and raster angle on surface roughness, dimensional accuracy and porosity. Experiments are done by Taguchi's design of experiments with two levels. The analysis is done by both ANOVA and RESPONSE SURFACE METHODOLOGY. The best and optimum process parameters found out to be is slice height of 0.1270 mm, raster width as 0.6096 mm, air gap 0 mm, orientation as 30° and raster angles as 0°.
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TL;DR: In this paper, Taguchi's full factorial design of experiments (DOE) is used to investigate the main effects of four processing parameters in the FDM process, those are the infill percentage, infill pattern, layer thickness, and extrusion temperature.
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01 Jan 2018
TL;DR: In this article, the authors present a Table of Table of Contents ( Table of contents) of the paper this article and present the table of contents of the conference proceedings of this paper.
Abstract: ........................................................................................................................................ iii Lay Summary ............................................................................................................................... iv Preface .............................................................................................................................................v Table of
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Cites background from "Modeling the process parameters of ..."
...Devika and Gupta [43] developed a series of experiments to evaluate the porosity, surface finish and dimensional accuracy of PC-ABS materials processed by FDM....
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References
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TL;DR: The principles and the features of the main RP&M technologies and applications are presented and some existing problems and research issues on these new technologies are introduced.
Abstract: Rapid Prototyping and Manufacturing (RP&M) technologies have emerged for quickly creating 3D products directly from computer-aided design systems. These technologies significantly improve the present prototyping practices in industry. This paper reviews the main technologies and applications of RP&M. The principles and the features of those RP&M technologies are presented. Some existing problems and research issues on these new technologies are introduced. We also include two current research and application examples in using rapid prototyping for further illustration.
574 citations
"Modeling the process parameters of ..." refers background in this paper
...These technologies are capable of directly generating physical objects from CAD databases [2]....
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TL;DR: In this paper, the influence of important process parameters viz., layer thickness, part orientation, raster angle, air gap and raster width along with their interactions on dimensional accuracy of Fused Deposition Modelling (FDM) processed ABSP400 (acrylonitrile-butadine-styrene) part.
533 citations
TL;DR: In this paper, the optimal process parameters for fused deposition modeling (FDM) rapid prototyping machine that was used to produce acrylonitrile butadiene styrene (ABS) compliant prototype were found.
505 citations
"Modeling the process parameters of ..." refers background in this paper
...It is known that process parameters such as the air gap between adjacent tracks, raster angle, raster width and thickness of deposited layers influence the performance of parts produced on an FDM machine [4]....
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TL;DR: In this paper, a modified Taguchi method was used for both detraining the optimum settings of machine parameters and combining multiple quality characteristics into one integrated numerical value called Grey relational grade or rank.
232 citations
"Modeling the process parameters of ..." refers methods in this paper
...Taguchi method has been extensively adopted in manufacturing for nearly three decades to robustly design a product or process [10]....
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01 Jan 2010
TL;DR: In this paper, an experimental design technique for determining the optimum surface finish and dimensional accuracy of a part built by the Fused Deposition Modeling (FDM) process is described.
Abstract: This paper describes an experimental design technique for determining the optimum surface finish and dimensional accuracy of a part built by the Fused Deposition Modeling (FDM) process. The design investigates the effect of the process parameters layer thickness, road width, raster angle and air gap on the surface finish and dimensional accuracy. Experiments were conducted using Taguchi's design of experiments with three levels for each factor. The results are statistically analyzed to determine the significant factors and their interactions. From the ANOVA analysis, it was found that the layer thickness and road width affect the surface quality and part accuracy greatly. Raster angle has little effect. But air gap has more effect on dimensional accuracy and little effect on surface quality.
164 citations