Title: Volumetric shrinkage prediction in fused deposition modelling process - ANFIS modelling approach

Authors: Yusuf Suleiman Dambatta; Ahmed Aly Diaa Sarhan; Ibrahem Maher; Mehdi Hourmand

Addresses: Mechanical Engineering Department, Ahmadu Bello University, Zaria 1013, Nigeria ' Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia ' Department of Mechanical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt ' Center of Advanced Manufacturing and Materials Processing (AMMP), Department of Mechanical Engineering, University of Malaya (UM), 50603, Kuala Lumpur, Malaysia

Abstract: Fused deposition modelling (FDM) is a type of additive manufacturing technology which is being used to manufacture prototypes and functional parts. However, the volumetric shrinkage limits the functionality of the manufactured prototypes. Accurately predicting the volumetric shrinkage will diversify the applicability of this manufacturing technology because the volumetric error could be eliminated at the product specification/development stage. Also, the volumetric shrinkage prediction in the process will enable for an in-process adjustment and proper selection of the machine setting. This work involves using the layer thickness, orientation angle and structural geometry as parameters to predict the volumetric shrinkage. The prediction of the shrinkage in the FDM prototypes along both the XZ and YZ-axis was done using ANFIS. The experimental test result validates the effectiveness of the constructed ANFIS model, which has about 3.15% average prediction error. The comparison between the manufactured hollow shapes also gives the best input settings for manufacturing of the hollows in the components.

Keywords: volumetric shrinkage; dimensional accuracy; ANFIS; fused deposition modelling; FDM; manufacturing.

DOI: 10.1504/IJMPT.2019.104568

International Journal of Materials and Product Technology, 2019 Vol.59 No.4, pp.347 - 365

Accepted: 21 Sep 2019
Published online: 20 Jan 2020 *

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