Optimisation of FDM process parameters by Taguchi method for imparting customised properties to components

ABSTRACT Customisation of material properties by route of controlling the process parameters is a landmark ability of the additive manufacturing (AM) processes. Parametric optimisation of fused deposition modelling process using Fortus 250mc modeller is accomplished for conical primitives of constructive solid geometry in the present research. Experiments were designed according to the Taguchi technique for four factors at three levels each – slice height (SH), contour width (CW), raster width and air gap (AG). Analysis of signal-to-noise ratios is utilised for establishing the optimal process parameters and the relative percentage contribution of factors is estimated using ANOVA. Optimal levels of process parameters are found to vary with the variation in the type of basic shape of primitive. It has been established that AG has a maximum impact over the part build volume followed by CW and SH. Also, it can be safely concluded that the interaction effect of parameters is relatively less important.

[1]  Henry W. Altland,et al.  Engineering Methods for Robust Product Design , 1996 .

[2]  Guoying Dong,et al.  Data for: Optimizing Process Parameters of Fused Deposition Modeling by Taguchi Method for the Fabrication of Lattice Structures , 2018 .

[3]  T. K. Kundra,et al.  Virtual Design, Modelling and Analysis of Functionally graded materials by Fused Deposition Modeling , 2016 .

[4]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[5]  T. K. Kundra,et al.  Virtual Modelling and Simulation of Functionally Graded Material Component using FDM Technique , 2015 .

[6]  N. Venkata Reddy,et al.  Optimum part deposition orientation in fused deposition modeling , 2004 .

[7]  Vishal Francis,et al.  Experimental investigations on fused deposition modelling of polymer-layered silicate nanocomposite , 2016 .

[8]  Gregory Taylor,et al.  Experimental investigation of effects of build parameters on flexural properties in fused deposition modelling parts , 2017 .

[9]  S. Vinodh,et al.  A review on composite materials and process parameters optimisation for the fused deposition modelling process , 2017 .

[10]  Madhan Shridhar Phadke,et al.  Quality Engineering Using Robust Design , 1989 .

[11]  Srinivasa Prakash Regalla,et al.  Multi-objective optimisation of strength and volumetric shrinkage of FDM parts , 2014 .

[12]  Arshad Noor Siddiquee,et al.  Effect of varying spatial orientations on build time requirements for FDM process: A case study , 2017 .

[13]  A. K. Sood,et al.  Improving dimensional accuracy of Fused Deposition Modelling processed part using grey Taguchi method , 2009 .

[14]  Toshi-Taka Ikeshoji.  Multiple Material Additive Manufacturing , 2019 .

[15]  S. Arunachalam,et al.  Critical parameters influencing the quality of prototypes in fused deposition modelling , 2001 .

[16]  Brian Mellor,et al.  Multiple material additive manufacturing – Part 1: a review , 2013 .

[17]  P. Wright,et al.  Anisotropic material properties of fused deposition modeling ABS , 2002 .