| About this Abstract |
| Meeting |
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Symposium
|
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Presentation Title |
Optimized Design Workflow for Patient-Customized Composite Orthotics |
| Author(s) |
Mariana Hernandez, Aytac Teker, Mohamed T. Eraky, Andy Li, Biruk Gebre, Damiano Zanotto, Kishore Pochiraju |
| On-Site Speaker (Planned) |
Mariana Hernandez |
| Abstract Scope |
Orthotics are worn on the body to assist neuromuscular and skeletal systems. These devices are used in gait rehabilitation programs for patients who sustained a brain injury or lower-leg trauma. An orthotics’ effectiveness in gait rehabilitation depends upon the fit to the user and comfort in wearing it. In this work, we present an automated design of a leg calf shank component of an actively controlled orthotic device. The shank has a complex combination of geometric, stiffness, strength, and manufacturing constraints. Additively manufactured composites provide lightweight designs that meet mechanical performance and low-cost manufacturing requirements. To this end, we created an automated and patient-customized orthotic design that begins with a scan of the patient’s leg and produces a design for a 3D printed short carbon fiber reinforced or a continuous carbon fiber composite calf-shank. The paper describes the application of the AI/ML algorithms for creating patient contact surfaces, establishing parameters such as the thickness and geometries for interfacing with the rest of the device. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |