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

Abstract

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.

A Smart Parametric 3D Printing Hand Assistive Device With a Practical Physically Intervention Feedback Based on the Embedded IMU Sensor

“…The individual hand geometry produced without the need of complex scanning devices serve as effective design references for improving hand products, especially during the COVID-19 pandemic seriously. On the other hand, PLA indeed provided more supporting constraint satisfaction for reaching more tensile force due to the character of the hardness according to the past research in materials [21] [22]. However, the questionnaire indicated that PLA has less satisfaction than other materials because the splint made by PLA is too hard to wear.…”

Reducing Waste in 3D Printing Using a Neural Network Based on an Own Elbow Exoskeleton

“…It seems that both the optimization of the use of materials itself and its widespread application should become obligatory practice. However, this requires not only public and business awareness, but also legal regulations as part of a sensible strategy for entire countries, and in the initial period of use as well as incentives in the form of tax breaks and building an image of resource-efficient companies [ 32 , 33 , 34 ].…”

Geometric Specification of Non-Circular Pulleys Made with Various Additive Manufacturing Techniques

“…The selection of appropriate materials is very important for the target effect of shaping elements using RP techniques. These issues were described by Leturia et al [ 25 ], as well as Rojek et al [ 26 ].…”