Title: Multi-objective optimisation of fused deposition modelling process parameters using RSM and fuzzy logic for build time and support material

Authors: Manu Srivastava; Sandeep Rathee; Sachin Maheshwari; T.K. Kundra

Addresses: Department of Mechanical Engineering, IMS Engineering College, Ghaziabad, India ' Division of Manufacturing Processes and Automation Engineering, Netaji Subhas Institute of Technology, New Delhi, 110078, India ' Division of Manufacturing Processes and Automation Engineering, Netaji Subhas Institute of Technology, New Delhi, 110078, India ' Department of Mechanical Engineering, Indian Institute of Technology, New Delhi, 110016, India

Abstract: Additive manufacturing (AM) is around three-decade-old technology and enables quick transition from concept to physical models in a matter of hours. Fused deposition modelling (FDM) is a promising and robust AM technique with proven ability to build prototypes of complex and intricate shapes using reasonable time and cost. Optimisation of FDM process requires optimisation of various qualitative and quantitative responses. This work presents multi-objective FDM optimisation using RSM embedded fuzzy logic analysis. Six process parameters and two responses are considered for the current experimentation on Fortus 250mc modeller based on FDM technology.

Keywords: additive manufacturing; FDM; fused deposition modelling; build time; support material volume; response surface methodology; fuzzy logic.

DOI: 10.1504/IJRAPIDM.2018.089727

International Journal of Rapid Manufacturing, 2018 Vol.7 No.1, pp.25 - 42

Received: 11 Mar 2017
Accepted: 14 Jul 2017

Published online: 08 Feb 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article