Experimental investigation and empirical modelling of FDM process for compressive strength improvement

摘要: Abstract Fused deposition modelling (FDM) is gaining distinct advantage in manufacturing industries because of its ability to manufacture parts with complex shapes without any tooling requirement and human interface. The properties FDM built exhibit high dependence on process parameters can be improved by setting at suitable levels. Anisotropic brittle nature build part makes it important study the effect resistance compressive loading for enhancing service life functional parts. Hence, present work focuses extensive understand five such as layer thickness, orientation, raster angle, width air gap stress test specimen. not only provides insight into dependency but also develops a statistically validated predictive equation. equation used find optimal parameter through quantum-behaved particle swarm optimization (QPSO). As highly one influence responses non linear manner, predicted using artificial neural network (ANN) compared