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6. Computational Couture

Research & Ideation

For centuries, fashion design was largely a manual craft, rooted in hand sketching, pattern making and sewing. Designers relied on their artistic intuition, physical prototypes, and tailoring experience to achieve the desired fit and aesthetic.

Each garment was individually cut and stitched, often through repetitive trial and error. While this approach emphasized artistry and craftsmanship, it also came with challenges:

I) Waste from fabric offcuts and pattern errors.

II) Limited customization, since designs followed standard body sizes.

III) Lengthy production times and dependency on human labor.

Our todays brands like Coco Chanel, Cristóbal Balenciaga, and Christian Dior defined eras of elegance through technical mastery and creative vision but they still worked within the physical constraints of fabric and manual processes.

With changing times, digital design tools began transforming fashion’s creative process. Designers now can experiment with shapes, visualize garments digitally, and test ideas before production. They can simulate textures, test patterns, and render clothing without cutting fabric, reducing waste and improving visualization.

Being introduced to computational design has been mind blowing. The works of Julia Koerner during her session was so inspiring. Seeing how her works has evolved over the years is a testament of creativity and system thinking.

Inspiration

  • Neri Oxman work on “Wanderers” collection and “Mushtari” wearable explored bio-printed garments that could host living organisms. Each piece was computationally generated and 3D printed to fit specific body forms.

Yoram Reshef

Anouk Wipprecht work of using sensors, microcontrollers, and 3D-printed structures to respond to movement and personal space through her spider dress.

Anouk Wipprecht

At the heart of computational couture lies parametric design, a method where design elements are controlled by parameters and relationships. Instead of fixed patterns, a designer builds a flexible digital system that adapts when inputs change.

Parametric design: control, dependent, constraints

  • The control parameters(independent) are inputs that are exposed and changing them does not break the model. In blender, GN such as group inputs are independent.

  • Dependent parameters are values computed from the controls. Example is panel thickness.

  • Constraints are like rules that must be followed always.

weekly assignment

Check out the weekly assignment here or login to your NuEval progress and evaluation page.

Process and workflow

From the the weeks tutorial by Rico of having monkey heads, I was interested in playing around with blender and to generate a geometry node tree.

I did endless of modelling, I was not impressed with my models and I had to at least try what I learned.

I started with an icosphere did a number of geometry nodes and these were the results.

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3D Models

Blender > Export as STL Video Tutorial



References & Inspiration

Tools

  • Blender 3-D printer

Fabrication files


  1. File: 3d modelling of mannequin 

  2. File: Laser cut sheets 

  3. File: additional models