This research elaborated a two-step strategy to reduce garment volumes and improve garment structural fit for everyone. The strategy is based on data from semi-structured discussions and a comprehensive literature review. Step 1 is a conceptual concerted minimal custom wardrobe model that is composed of a minimal number of custom garments that structurally fit a person’s unique body shape and are concerted to efficiently relate to one another and, over an extended period of time, to the person’s unique style, social and climate profiles. Step 2 is the automation of custom structural fit. That is, the ability of a computer-aided design (CAD) system to draft, for each and every body shape and directly from inputted formulas and body shape data, patterns that structurally fit without alterations. Such automation gives more people, professionals, and companies the ability to create, with less skills and training, custom garments that structurally fit, scaling the potential effect of the concerted minimal custom wardrobe on garment volumes, and user satisfaction and agency. However, this research established that CAD systems and existing research do not truly automate optimal custom structural fit, in part because with multiple gaps, pattern drafting does not produce for each and every body shape, optimal structural fit that does not require alterations. For these reasons, studies on the topic of custom pattern drafting CAD systems were analysed to identify priority topics for subsequent research. They are, automation of custom block patterns that structurally fit, complete body shape data from 3D body scans and expert structural fit evaluation.
| Date | 19 Dec 2022 |
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| Original language | American English |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Michel Rioux (Supervisor) |
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Rossignol, C. (Author),
Rioux (Supervisor),
19 Dec 2022Student thesis: Master's thesis › Master in Engineering: Engineering