Improvement of Pattern Making in Fused Deposition Modelling Machining for Scrap Reduction

Volume 6 Issue 4 August - October 2016

Research Paper

Improvement of Pattern Making in Fused Deposition Modelling Machining for Scrap Reduction

0*, Rahul O. Vaishya**

* PG Scholar, Department of Production & Industrial Engineering, PEC University of Technology, Chandigarh, India.

** Assistant Professor, Department of Production & Industrial Engineering, PEC University of Technology, Chandigarh, India.

Badola, M., and Vaishya, R. O. (2016). Improvement of Pattern Making in Fused Deposition Modelling Machining for Scrap Reduction. i-manager’s Journal on Mechanical Engineering, 6(4), 20-29. https://doi.org/10.26634/jme.6.4.8293

Abstract

To improve pattern making from Fused Deposition Modelling (FDM) machine for reduction of scrap and environmental hazard, parameters of FDM machine is optimized for compression strength and surface roughness together in this study. Taghuchi's method and utility concept is applied to find sets of parameter that can globally optimize the compression strength and surface roughness, as these are the most important selection characteristics for a pattern. From the result, it is found out that layer thickness is the most influencing parameter in pattern making, which significantly control both characteristic responses. This study also shows that it is possible to optimize compression strength and roughness with this method, and gives edge to FDM machine to other methods of pattern making.