Risk Assessment of Individualized 3D Printed Prostheses Using Failure Mode and Effect Analysis

• Autorzy: Górski Filip , Sahaj Natalia , Kuczko Wiesław , Żukowska Magdalena , Hamrol Adam

Identyfikatory

DOI

10.12913/22998624/152735

• Języki publikacji: EN

Abstrakty

EN

Risk analysis of personalized medical devices, such as prostheses, is a challenging task due to the complexity of technological and geometrical issues. The paper undertakes a process of risk analysis for upper limb prostheses for adult patients, individualized by 3D scanning and produced by additive manufacturing. The analysis was performed to systematize the process and its steps, as well as diagnose certain problems, in order to achieve future devices with correct fit and function, produced in as few iterations as possible. The Failure Mode and Effect Analysis of Process (PFMEA) method was used. In the results, main process risks were identified: the problems are mostly caused in stages, where operator’s decision or activity is to be performed, regarding socket length, offset and suitable lining. The main prevention activities were determined – human involvement in the decision process should be minimal and the intelligent models should be adjustable to as many patient cases as possible. In consequence, future steps for process optimization were determined – larger base of patient cases is necessary to acquire and study, to gather data for model and process improvement.

Słowa kluczowe

EN

PFMEA method; 3D printing; risk assessment; prosthetics

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2022
• Tom: Vol. 16, no 4
• Strony: 189--200
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Górski Filip

• Poznan University of Technology, Pl. Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland

• https://orcid.org/0000-0001-8548-2544

autor

Sahaj Natalia

• Poznan University of Technology, Pl. Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland

autor

Kuczko Wiesław

• Poznan University of Technology, Pl. Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland

autor

Żukowska Magdalena

• Poznan University of Technology, Pl. Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland

autor

Hamrol Adam

• Poznan University of Technology, Pl. Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).