Author
Listed:
- Manuela Lacramioara Avadanei
(Knitting and Clothing Department, Faculty of Industrial Design and Business Management, Technical University “Gheorghe Asachi” of Iasi, 29, Prof. Dr. Doc. Dimitrie Mangeron, 700050 Iasi, Romania
Member of the ErgoWork Society in Romania.)
- Sabina Olaru
(National Research Development Institute for Textiles and Leather, 030508 Bucharest, Romania
The Executive Unit for the Financing of Higher Education, Research, Development and Innovation (UEFISCDI), 010987 Bucharest, Romania)
- Ionut Dulgheriu
(Knitting and Clothing Department, Faculty of Industrial Design and Business Management, Technical University “Gheorghe Asachi” of Iasi, 29, Prof. Dr. Doc. Dimitrie Mangeron, 700050 Iasi, Romania)
- Savin Dorin Ionesi
(Knitting and Clothing Department, Faculty of Industrial Design and Business Management, Technical University “Gheorghe Asachi” of Iasi, 29, Prof. Dr. Doc. Dimitrie Mangeron, 700050 Iasi, Romania)
- Emil Constantin Loghin
(Knitting and Clothing Department, Faculty of Industrial Design and Business Management, Technical University “Gheorghe Asachi” of Iasi, 29, Prof. Dr. Doc. Dimitrie Mangeron, 700050 Iasi, Romania)
- Irina Ionescu
(Knitting and Clothing Department, Faculty of Industrial Design and Business Management, Technical University “Gheorghe Asachi” of Iasi, 29, Prof. Dr. Doc. Dimitrie Mangeron, 700050 Iasi, Romania)
Abstract
Background: A challenge for designers is to create fashionable and very well-fitting personalised garments (multi-layered) that have a suitable shape (balance and size) and provide the wearer with the desired degree of freedom. In this paper, the authors have developed an ergonomic solution for designing the pattern of a business casual men’s jacket by integrating the dynamic data of the body into the design process. Methodology: The pattern was elaborated by interactive design process based on mathematical relationships and the use of specific input data. The 3D virtual prototype was created in Clo3D (the static and typical dynamic positions of the mannequin). The dynamic data needed for the study were measured directly on 50 male subjects. These values were analysed by using the statistical method and then integrated into the design scenario in a specific way. The shapes of the new 3D prototypes were evaluated by examining the relationships between the constructive and longitudinal allowance along the back region as independent variables and sleeve angle and upper back tension as dependent variables. Results: By allowing a certain degree of dynamic effect in the design process, one can see that the personalized model of the casual business jacket with Ab (constructive allowance) = 4.5 cm and Aars (longitudinal allowance distributed along with the back height) = 3.6 cm is well balanced and fits the body. Conclusions: This design method can be used and further developed for other garment categories and customers by any design department that has the right IT tools to facilitate the personalized design process.
Suggested Citation
Manuela Lacramioara Avadanei & Sabina Olaru & Ionut Dulgheriu & Savin Dorin Ionesi & Emil Constantin Loghin & Irina Ionescu, 2022.
"A New Approach to Dynamic Anthropometry for the Ergonomic Design of a Fashionable Personalised Garment,"
Sustainability, MDPI, vol. 14(13), pages 1-24, June.
Handle:
RePEc:gam:jsusta:v:14:y:2022:i:13:p:7602-:d:844989
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Citations
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Cited by:
- Anabela Salgueiro-Oliveira & Anderson da Silva Rêgo & Paulo Santos-Costa & Rafael A. Bernardes & Luísa Filipe & Liliana B. Sousa & Rochelne Barboza & Miguel Carvalho & Maria Bouçanova & Maria Clara Fe, 2023.
"Design of Innovative Clothing for Pressure Injury Prevention: End-User Evaluation in a Mixed-Methods Study,"
IJERPH, MDPI, vol. 20(18), pages 1-17, September.
- Zhujun Wang & Xuyuan Tao & Xianyi Zeng & Yingmei Xing & Zhenzhen Xu & Pascal Bruniaux, 2023.
"A Machine Learning-Enhanced 3D Reverse Design Approach to Personalized Garments in Pursuit of Sustainability,"
Sustainability, MDPI, vol. 15(7), pages 1-21, April.
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