Next Article in Journal
Experimental Study of Mechanical Properties of Epoxy Compounds Modified with Calcium Carbonate and Carbon after Hygrothermal Exposure
Next Article in Special Issue
Selective Laser Melting of Patient Individualized Osteosynthesis Plates—Digital to Physical Process Chain
Previous Article in Journal
Effect of Basalt Powder Surface Treatments on Mechanical and Processing Properties of Polylactide-Based Composites
Previous Article in Special Issue
3D Printed Model of Extrahepatic Biliary Ducts for Biliary Stent Testing
Article

AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications

1
Institute of Computer Science, Kazimierz Wielki University in Bydgoszcz, 85-064 Bydgoszcz, Poland
2
Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznan, Poland
3
Department of Mechatronics, Kazimierz Wielki University in Bydgoszcz, 85-064 Bydgoszcz, Poland
*
Author to whom correspondence should be addressed.
Materials 2020, 13(23), 5437; https://doi.org/10.3390/ma13235437
Received: 12 October 2020 / Revised: 25 November 2020 / Accepted: 27 November 2020 / Published: 29 November 2020
(This article belongs to the Special Issue 3D Printing in Medicine and Biomedical Engineering)
While the intensity, complexity, and specificity of robotic exercise may be supported by patient-tailored three-dimensional (3D)-printed solutions, their performance can still be compromised by non-optimal combinations of technological parameters and material features. The main focus of this paper was the computational optimization of the 3D-printing process in terms of features and material selection in order to achieve the maximum tensile force of a hand exoskeleton component, based on artificial neural network (ANN) optimization supported by genetic algorithms (GA). The creation and 3D-printing of the selected component was achieved using Cura 0.1.5 software and 3D-printed using fused filament fabrication (FFF) technology. To optimize the material and process parameters we compared ten selected parameters of the two distinct printing materials (polylactic acid (PLA), PLA+) using ANN supported by GA built and trained in the MATLAB environment. To determine the maximum tensile force of the exoskeleton, samples were tested using an INSTRON 5966 universal testing machine. While the balance between the technical requirements and user safety constraints requires further analysis, the PLA-based 3D-printing parameters have been optimized. Additive manufacturing may support the successful printing of usable/functional exoskeleton components. The network indicated which material should be selected: Namely PLA+. AI-based optimization may play a key role in increasing the performance and safety of the final product and supporting constraint satisfaction in patient-tailored solutions. View Full-Text
Keywords: 3D printing; exoskeleton; mechanical requirements; material properties; material selection; computational intelligence; artificial neural networks 3D printing; exoskeleton; mechanical requirements; material properties; material selection; computational intelligence; artificial neural networks
Show Figures

Figure 1

MDPI and ACS Style

Rojek, I.; Mikołajewski, D.; Dostatni, E.; Macko, M. AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications. Materials 2020, 13, 5437. https://doi.org/10.3390/ma13235437

AMA Style

Rojek I, Mikołajewski D, Dostatni E, Macko M. AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications. Materials. 2020; 13(23):5437. https://doi.org/10.3390/ma13235437

Chicago/Turabian Style

Rojek, Izabela, Dariusz Mikołajewski, Ewa Dostatni, and Marek Macko. 2020. "AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications" Materials 13, no. 23: 5437. https://doi.org/10.3390/ma13235437

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop