OPTIMIZATION OF PROCESS PARAMETERS OF FDM PART FOR MINIMIIZING ITS DIMENSIONAL INACCURACY

Abstract

Fused deposition modelling (FDM) is one of the fast growing 3D printing techniques due to its ability to build functional parts of complicated geometry in least possible time without incurring any extra cost due of absence of tooling. Despite of having various advantages there is limitation in terms of dimensional accuracy as the quality of final FDM part depends on many parameters which include layer thickness, orientation, raster angle and etc. In this regard, the present study incorporates the parametric optimization of FDM fabricated ABS (acrylonitrile-Butadiene-Styrene) part for improving its dimensional accuracy. Three important factors that are considered for optimization are raster angle, air gap and raster width. In order to reduce experimental runs, face cantered central composite design (FCCCD) is used. Analysis of variance (ANOVA) is used to test validity of the models and empirical models relating response and process parameters are developed. Anderson- darling (A-D) normality test is used to establish its practicality in engineering application. The major reason for inaccuracy of the part is irregularities and shape error. Finally, composite desirability function (CFD) is used to find the optimal parameter setting for building the ABS part with minimum overall deviations in dimension.

Authors and Affiliations

AZHAR EQUBAL, ANOOP KUMAR SOOD, ABDUL RAZZAQUE ANSARI, MD. ASIF EQUBAL

Keywords

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  • EP ID EP222577
  • DOI -
  • Views 135
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How To Cite

AZHAR EQUBAL, ANOOP KUMAR SOOD, ABDUL RAZZAQUE ANSARI, MD. ASIF EQUBAL (2017). OPTIMIZATION OF PROCESS PARAMETERS OF FDM PART FOR MINIMIIZING ITS DIMENSIONAL INACCURACY. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ), 7(2), 57-66. https://europub.co.uk/articles/-A-222577