pith:6KHYGFBY
Geometric quantification for nonlinear deformation in knitted fabrics
Knitted fabrics' nonlinear deformations can be quantified by decomposing them into stitch reorientation, loop bending, surface bending, and dilation using reconstructed yarn geometry.
arxiv:2604.19030 v2 · 2026-04-21 · cond-mat.soft · cs.NA · math.NA
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Claims
Applied to representative knitted structures, this framework resolves how global deformation is distributed among stitch reorientation, loop bending, surface bending, and dilation. Moreover, it reveals how regions of large geometric variation emerge, persist, and redistribute over time.
That smooth yarn centerlines and fabric surfaces can be accurately reconstructed from sparse yarn-level representations and that the resulting geometric descriptors alone suffice to capture and compare nonlinear deformation without direct mechanical validation or stress data.
A geometric quantification framework reconstructs yarn centerlines and fabric surfaces from sparse data to quantify how nonlinear deformation distributes among stitch reorientation, loop bending, surface bending, and dilation in knitted structures.
Receipt and verification
| First computed | 2026-07-15T01:21:56.014750Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f28f831438a6d39b5cb03493d6b6538eb4f151371fcce12d82beb0f6669b45b4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6KHYGFBYU3JZWXFQGSJ5NNSTR2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f28f831438a6d39b5cb03493d6b6538eb4f151371fcce12d82beb0f6669b45b4
Canonical record JSON
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