基于粒子群算法的熔融沉积建模(FDM)过程参数优化

IRPN: Science Pub Date : 2017-12-21 DOI:10.2139/ssrn.3101978
Aniket Shirke, C. Choudhari, S. Rukhande
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引用次数: 3

摘要

3D打印是一种分层制造工艺,通过使用加热器分层沉积材料来构建原型。通过3D打印制作的原型广泛应用于产品开发,因为它们可以用于产品测试。原型应该具有非常好的机械性能、功能性能和美观性。3D打印的机械性能取决于不同的工艺参数,即层厚、喷嘴直径、填充密度、零件床温度、蒙皮厚度、光栅沉积角、光栅宽度和零件长度。在目前的工作中,尝试使用3D打印的熔融沉积建模工艺来提高丙烯腈-丁二烯-苯乙烯(ABS)零件原型的机械性能和抗拉强度。实验采用田口的实验设计,每个因素有三个水平。实验在FDM Accucraft i250机器上进行,配合kiss - slicer软件,以ABS为主要材料。用田口法研究了参数对拉伸强度的影响及其相互作用。采用粒子群优化算法研究了工艺参数的最优值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parametric Optimization of Fused Deposition Modelling (FDM) Process Using PSO Algorithm
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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