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Optimizing parameters for additive manufacturing: a study on the vibrational performance of 3D printed cantilever beams using material extrusion

Sabri Can Ekerer (Department of Mechanical Engineering, Faculty of Engineering, Adana Alparslan Türkeş Science and Technology University, Adana, Turkey and Department of Motor Vehicles and Transport Technologies, Vocational School of Adana, Çukurova University, Adana, Turkey)
Cem Boğa (Department of Mechanical Engineering, Faculty of Engineering, Adana Alparslan Turkes Science and Technology University, Adana, Turkey)
Mirsadegh Seyedzavvar (Department of Mechanical Engineering, Faculty of Engineering, Adana Alparslan Turkes Science and Technology University, Adana, Turkey)
Tahsin Koroglu (Department of Electrical and Electronics Engineering, Faculty of Engineering, Adana Alparslan Türkeş Science and Technology University, Adana, Turkey)
Touraj Farsadi (Department of Aerospace Engineering, Faculty of Aeronautics and Astronautics, Adana Alparslan Türkeş Science and Technology University, Adana, Turkey)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 2 October 2024

134

Abstract

Purpose

This study aims to investigate the impact of different printing parameters on the free vibration characteristics of 3D printed cantilever beams. Through a comprehensive analysis of material extrusion (ME) variables such as extrusion rate, printing pattern and layer thickness, the study seeks to enhance the understanding of how these parameters influence the vibrational properties, particularly the natural frequency, of printed components.

Design/methodology/approach

The experimental design involves conducting a series of experiments using a central composite design approach to gather data on the vibrational response of ABS cantilever beams under diverse ME parameters. These parameters are systematically varied across different levels, facilitating a thorough exploration of their effects on the vibrational behavior of the printed specimens. The collected data are then used to develop a predictive model leveraging a hybrid artificial neural network (ANN)/ particle swarm optimization (PSO) approach, which combines the strengths of ANN in modeling complex relationships and PSO in optimizing model parameters.

Findings

The developed ANN/PSO hybrid model demonstrates high accuracy in predicting the natural frequency of 3D printed cantilever beams, with a correlation ratio (R) of 0.9846 when tested against experimental data. Through iterative fine-tuning with PSO, the model achieves a low mean square error (MSE) of 1.1353e-5, underscoring its precision in estimating the vibrational characteristics of printed specimens. Furthermore, the model’s transformation into a regression model enables the derivation of surface response characteristics governing the vibration properties of 3D printed objects in response to input parameters, facilitating the identification of optimal parameter configurations for maximizing vibration characteristics in 3D printed products.

Originality/value

This study introduces a novel predictive model that combines ANNs with PSO to analyze the vibrational behavior of 3D printed ABS cantilever beams produced under various ME parameters. By integrating these advanced methodologies, the research offers a pioneering approach to precisely estimating the natural frequency of 3D printed objects, contributing to the advancement of predictive modeling in additive manufacturing.

Keywords

Acknowledgements

Erratum: It has come to the attention of the publisher that the article Ekerer, S.C., Boğa, C., Seyedzavvar, M., Koroglu, T. and Farsadi, T. (2024), “Optimizing parameters for additive manufacturing: a study on the vibrational performance of 3D printed cantilever beams using material extrusion”, Rapid Prototyping Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/RPJ-03-2024-0146, did not include the acknowledgement section. This error was introduced during the production process. The publisher sincerely apologises for this error and for any confusion caused.

Citation

Ekerer, S.C., Boğa, C., Seyedzavvar, M., Koroglu, T. and Farsadi, T. (2024), "Optimizing parameters for additive manufacturing: a study on the vibrational performance of 3D printed cantilever beams using material extrusion", Rapid Prototyping Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/RPJ-03-2024-0146

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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