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Parametric Optimization of Fused Deposition Modelling (FDM) Process Using PSO Algorithm

Authors: Aniket Shirke; Chandrashekhar Choudhari; Sanjay Rukhande;

Parametric Optimization of Fused Deposition Modelling (FDM) Process Using PSO Algorithm

Abstract

3D Printing is a layered manufacturing process that builds prototypes by depositing material in layered form using heaters. Prototypes made by 3D Printing are widely used in product development as they can be used for product testing. Prototypes should have a very good mechanical property for functional performance as well as aesthetics. The mechanical properties in 3D printing depends upon different process parameters, namely Layer Thickness, Nozzle Diameter, Infill Density, Part Bed Temperature, Skin Thickness, Raster Angle of Deposition, Raster Width and Length of the parts. In this present work, an attempt has been made to improve the mechanical property, tensile strength of prototypes of Acrylonitrile Butadiene Styrene (ABS) parts fabricated using Fused Deposition Modelling process of 3D Printing. Experiments are conducted using Taguchi’s design of experiments with three levels for each factor. Experiments were carried out on FDM Accucraft i250 machines coupled with KIS-Slicer software and ABS as main material. Parameter effect on tensile strength and there interaction are studied in taguchi method. Using Particle Swarm Optimization (PSO) algorithm optimal values of process parameter are found studied for maximum tensile strength.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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