Process characterisation of 3D-printed FDM components using improved evolutionary computational approach

摘要: Fused deposition modelling (FDM) is an additive manufacturing technique deployed to fabricate the functional components leading shorter product development times with less human intervention. Typical characteristics such as surface roughness, mechanical strength and dimensional accuracy are found influence wear of FDM fabricated components. It would be useful determine explicit numerical model describe correlation between various output process parameters input parameters. In this paper, we have proposed improved approach multi-gene genetic programming (Im-MGGP) formulate relationship variables process. was that performs better than MGGP, SVR ANN models able generalise prototype satisfactorily. Further, sensitivity parametric analysis conducted study each variable on parameter, air gap, has maximum component.