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E. Mezura-Montes and C. A. Coello Coello, “Constrained optimization via Multiobjective Evolutionary Algorithms,” In J. Knowles, D. Corne, and K. Deb, editors, Multiobjective Problem Solving from Nature, Springer, Heidelberg, pp. 53–75, 2008.

has been cited by the following article:

• TITLE: Optimization of Fused Deposition Modelling (FDM) Process Parameters Using Bacterial Foraging Technique

  AUTHORS: Samir Kumar PANDA, Saumyakant PADHEE, Anoop Kumar SOOD, S. S. MAHAPATRA

  KEYWORDS: fused deposition modelling (FDM), strength, distortion, bacterial foraging, ANOVA, central composite design (CCD)

  JOURNAL NAME: Intelligent Information Management, Vol.1 No.2, November 30, 2009

  ABSTRACT: Fused deposition modelling (FDM) is a fast growing rapid prototyping (RP) technology due to its ability to build functional parts having complex geometrical shapes in reasonable build time. The dimensional accuracy, surface roughness, mechanical strength and above all functionality of built parts are dependent on many process variables and their settings. In this study, five important process parameters such as layer thickness, orientation, raster angle, raster width and air gap have been considered to study their effects on three responses viz., tensile, flexural and impact strength of test specimen. Experiments have been conducted using central composite design (CCD) and empirical models relating each response and process parameters have been developed. The models are validated using analysis of variance (ANOVA). Finally, bacterial foraging technique is used to suggest theoretical combination of parameter settings to achieve good strength simultaneously for all responses.