Journal PROCEEDINGS IN MANUFACTURING SYSTEMS |
ISSN 2343–7472 ISSN-L 2067-9238 |
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Journal PROCEEDINGS IN MANUFACTURING SYSTEMS □
Volume 18, Issue 3, 2023 Exploring
the use of ChatGPT and Dall-E for the preliminary design of 3D-printed
wrist-hand orthoses · Melania BURGHELEA, Radu-Eugen
BREAZ, Adrian-Iosif MAROȘAN, Alexandru BÂRSAN, Studies on the
production of parts by means of incremental forming on CNC lathes · Diana
POPESCU, Cristian Ioan TARBĂ, Web-based application for customization of
thermoformable 3D-printed wrist-hand braces Exploring the use
of ChatGPT and Dall-E for the preliminary design of 3D-printed wrist-hand
orthoses Diana
POPESCU 1,* 1) Prof., Department of Robots and Production Systems, National
University of Science and Technology Politehnica Bucharest, Bucharest,
Romania Abstract: The transformative impact of
Artificial Intelligence (AI) technology manifests across many fields, among
which medicine is a relevant beneficiary, significantly contributing to
enhancing patients care through designing individualized treatment plans, diagnostics
support, imaging analysis, virtual assistant chatbots, etc. However, AI
applications in orthotics realm remain mostly unexplored. This paper
investigates the integration of ChatGPT with the DALL-E image generator in
the design process of 3D-printed wrist-hand orthoses. The objective was to
support design ideation by configuring a custom GPT for this topic and using
iterative prompt refinements. A multidisciplinary approach
incorporating knowledge from engineering and occupational therapy guided the
research. Tests results showed that the model is not able yet to generate
consistent modifications based on requests, challenges being identified
relating to the difficulty of addressing the highly variable orthotic needs.
In this sense, a dedicated AI application is required, capable to use
multidimensional data and to integrate patients’ feedback into the design
loop. Nonetheless, features of the
proposed designs showed the potential of ChatGPT to support design-related
brainstorming for the development of custom medical devices, presenting an
innovative solution to be used in practice.
Key
words: ChatGPT, DALL-E, prompt engineering, iterations,
design, orthotics, 3D printing, splints.
Studies on the production of parts by means
of incremental forming on CNC lathes Melania BURGHELEA1,*, Radu-Eugen BREAZ2, Adrian-Iosif MAROȘAN3, Alexandru BÂRSAN4 1) Ass. Prof., PhD, Eng, Department of Industrial Machines and
Equipment, "Lucian Blaga" University of Sibiu, Sibiu, Romania 2) Prof. PhD, Eng, Department of Industrial Machines and Equipment,
"Lucian Blaga" University of Sibiu, Sibiu, Romania 3) Ass. Prof., PhDStudent, Eng,
Department of Industrial Machines and Equipment, "Lucian
Blaga" University of Sibiu, Sibiu, Romania 4) Ass. Prof., PhD, Eng,
Department of Industrial Machines and Equipment, "Lucian Blaga"
University of Sibiu, Sibiu, Romania Key
words: Single point incremental forming, milling
machine, lathe machine, CNC. Web-based application for customization of
thermoformable 3D-printed wrist-hand braces Diana POPESCU 1,* Cristian Ioan TARBĂ 2 1) Prof., Department of Robots and Production Systems, National
University of Science and Technology Politehnica Bucharest, Bucharest,
Romania 2) Lecturer, Department of Manufacturing Engineering, National
University of Science and Technology Politehnica Bucharest, Bucharest,
Romania Abstract: Thermoformable 3D-printed
wrist-hand orthoses, or braces, offer an alternative to traditional
manufacturing methods for these medical devices. Using additive manufacturing
via the material extrusion process, these customized braces can be produced
flat, eliminating the need for support structures typically required in the
forearm-scanned-based approach, thus reducing printing time. To make these
orthoses accessible to therapists without 3D scanning or advanced modeling skills,
this paper presents a web-based application that simplifies customization of
the braces’ type, dimensions, and pocket shapes. The integration of FreeCAD
and Python in the application provides a combination of 3D modeling and
automation leveraging open-source software advantages, and automatically
generates the STL file of the custom orthosis. The application's open
architecture supports the implementation of new designs, making it suitable
for use in 3D printing point-of-care settings. Usability tests with eight
participants indicate that the application is easy to use and effective. The
mean time to generate the orthosis file for 3D printing was 2 minutes and 12
seconds, while the average time required to gather patient hand and forearm
dimensions and input them into the app was 11 minutes and 32 seconds.
Notably, this time was reduced by about half during the second use of the app
by two of participants. Key
words: FreeCAD, Python, 3D printing, thermoforming, wrist-hand
orthosis, brace, web-based app. |
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