Computer-Assisted Modeling and Design of Compression Garments with Graded Unit Compression

• Autorzy: Kowalski Krzysztof , Kłonowska Magdalena , Sujka Witold , Latańska Ilona , Kowalski Tomasz Marek

Identyfikatory

DOI

10.2478/aut-2020-0048

• Języki publikacji: EN

Abstrakty

EN

This article presents a useful algorithm for designing compression products with intended and graded unit pressure along the part of the body covered with the mentioned garments. The algorithm was developed using Laplace's law and a designated experimental function describing the relationship between strength and relative elongation of knitted fabric, and the results of 3D scanning of different body parts. On this basis, two examples of products in the form of a leg sleeve and arm sleeve were designed for the treatment of lymphoedema in compression classes II and III. The presented compression product design procedure facilitates the process of designing compression garments and eliminates some errors related to this procedure.

Słowa kluczowe

EN

design algorithm; compression products; unit pressure; Laplace’s law; compression class

PL

algorytm projektowania; produkty kompresyjne; ciśnienie jednostkowe; prawo Laplace'a; klasa kompresji

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2022
• Tom: Vol. 22, no. 1
• Strony: 80--88
• Opis fizyczny: Bibliogr. 28 poz.

Twórcy

autor

Kowalski Krzysztof

• Department of Knitting Technology and Textile Machines, Lodz University of Technology, Lodz, Poland

autor

Kłonowska Magdalena

• Department of Knitting Technology and Textile Machines, Lodz University of Technology, Lodz, Poland

autor

Sujka Witold

• Tricomed SA, Lodz, Poland

autor

Latańska Ilona

• Tricomed SA, Lodz, Poland

autor

Kowalski Tomasz Marek

• Department of Computer Engineering, Lodz University of Technology, Lodz, 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).