Wearable 3D Machine Knitting: Automatic Generation of Shaped Knit Sheets to Cover Real-World Objects.

Area of Science:

• Computer Graphics
• Textile Engineering
• Computational Design

Background:

• Knitting enables the creation of stretchable and durable surfaces for garments and covers.
• Existing machine knitting methods lack consideration for the
• wearability
• constraint, which requires garments to fit 3D models without deformation during donning and doffing.

Purpose of the Study:

• To introduce the first automated pipeline for generating knit designs that are both wearable and machine-knittable.
• To address the limitations of current approaches by integrating wearability into the design and fabrication process.

Main Methods:

• A parallel processing pipeline with two modules: one for wearability and one for knittability.
• Wearability is ensured through a physically-based unclothing simulation on a cut garment surface.
• Knittability is achieved by converting the cut surface into an anisotropic stitch mesh and using a stochastic, any-time flat-knitting scheduler.

Main Results:

• Successful fabrication of garments with diverse topological and geometric complexities, demonstrating robustness and efficiency.
• Validation of the pipeline's ability to generate wearable and machine-knittable knit designs.
• Demonstration of the method's integration into a design tool for customized knitted garments.

Conclusions:

• The developed pipeline offers a practical solution for automatically designing and fabricating wearable knitted garments.
• This approach advances machine knitting by incorporating wearability, enabling the creation of complex and functional knitted items.
• The method has the potential to enhance the creation of customized knitted garments through integrated design tools.