Parametric Optimization on FDM Machine for Percentage Change in Length, Width and Thickness

The Rapid prototyping (RP) refers to a class of technology that can automatically construct the physical models from computer aided design (CAD) data. The biggest advantage of RP processes is that an entire 3-D (three-dimensional) consolidated assembly can be fabricated in a single setup without any tooling and fixture use. These processes are based on additive principle for part fabrication. The part fabrication methodology is independent of the complexity of the part geometry. Fused deposition modelling is one of the RP process that produced prototype from plastic material by layering track of semi molten plastic filament on to a platform in a layer wise manner from bottom to top. The quality of FDM made parts are highly depends upon various process parameters of FDM machine, hence optimization of FDM process parameters is necessary in order to improve the quality of parts like dimensional accuracy. The different experiments on FDM machine at different levels with the help of Taguchi method and other various optimization methods then we will conclude the best parameter set for dimensional accuracy for ABS material. After experiments with the help of Analysis of variance we conclude that the Layer thickness factor is highly inf.luence to Dimensional accuracy rather than Orientation angle and Raster width. We use regression technique and we conclude that this model is conforming at 95% confidence level. After optimization technique of grey relational analysis we conclude that the best combination set of Layer thickness, Orientation angle and Raster width is 0.254mm, 0degree, and 0.5064mm for Dimensional accuracy.