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Document data - DI134-012
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| Abstract Italian: |
The fashion accessories sector is increasingly characterized by mass customization, short production cycles, and
growing attention toward sustainability-oriented manufacturing strategies. In this context, additive
manufacturing technologies provide new opportunities for producing customized products without dedicated
tooling, although their manufacturing-stage energy performance strongly depends on geometry complexity,
process characteristics, and production scale. Existing manufacturing evaluation approaches are often discon-
nected from interactive design environments and are typically performed only after product geometry has
already been finalized. This paper presents a real-time manufacturing-stage energy comparison framework in-
tegrated into a parametric 3D web platform for customized fashion accessories. The system combines Grass-
hopper–Rhinoceros parametric modelling with a web-based customization environment supported by Rhino.
Compute architecture. The framework enables users to interactively modify product geometry while simulta-
neously estimating manufacturing-stage energy demand associated with different additive and conventional
manufacturing technologies. The methodology focuses on comparative early-stage manufacturing-energy esti-
mation intended to support geometry-aware manufacturing decision-making during product customization. The
framework was validated through two relevant case studies from the fashion accessories sector: a customized
necklace display and a jewellery closure system. The analysed manufacturing technologies included CNC
machining, thermoforming, Fused Deposition Modelling, Multi Jet Fusion, investment casting, and Direct Metal
Laser Sintering. The proposed framework contributes toward more energy-aware digital manufacturing work-
flows by integrating parametric design, web-based customization, and real-time manufacturing comparison. The
results demonstrate that manufacturing-stage energy demand strongly depends on geometry configuration and
production volume. Additive manufacturing technologies showed advantages for low volume customized pro-
duction, while conventional manufacturing became progressively more competitive as production scale
increased. Projects: Ecosister, Spoke3: Work Package WP1, and WP3.
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| Abstract English (optional): |
The fashion accessories sector is increasingly characterized by mass customization, short production cycles, and
growing attention toward sustainability-oriented manufacturing strategies. In this context, additive
manufacturing technologies provide new opportunities for producing customized products without dedicated
tooling, although their manufacturing-stage energy performance strongly depends on geometry complexity,
process characteristics, and production scale. Existing manufacturing evaluation approaches are often discon-
nected from interactive design environments and are typically performed only after product geometry has
already been finalized. This paper presents a real-time manufacturing-stage energy comparison framework in-
tegrated into a parametric 3D web platform for customized fashion accessories. The system combines Grass-
hopper–Rhinoceros parametric modelling with a web-based customization environment supported by Rhino.
Compute architecture. The framework enables users to interactively modify product geometry while simulta-
neously estimating manufacturing-stage energy demand associated with different additive and conventional
manufacturing technologies. The methodology focuses on comparative early-stage manufacturing-energy esti-
mation intended to support geometry-aware manufacturing decision-making during product customization. The
framework was validated through two relevant case studies from the fashion accessories sector: a customized
necklace display and a jewellery closure system. The analysed manufacturing technologies included CNC
machining, thermoforming, Fused Deposition Modelling, Multi Jet Fusion, investment casting, and Direct Metal
Laser Sintering. The proposed framework contributes toward more energy-aware digital manufacturing work-
flows by integrating parametric design, web-based customization, and real-time manufacturing comparison. The
results demonstrate that manufacturing-stage energy demand strongly depends on geometry configuration and
production volume. Additive manufacturing technologies showed advantages for low volume customized pro-
duction, while conventional manufacturing became progressively more competitive as production scale
increased. Projects: Ecosister, Spoke3: Work Package WP1, and WP3.
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| Attached document file: |
DI134-012-v1-A dynamic energy comparison of additive and traditional manufacturing in.pdf
(14050916 bytes)
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