Material composition and finishing chemistry for all-weather lacrosse mesh: polymer family selection, moisture plasticization, protective coatings, construction, and the test standards and rules that define mesh KPIs
wikillm knowledge package (@kp/material-composition-and-finishing-chemistry-for-all-weather) — a research-landscape foundation.
Scope: This package scopes the material-science decision space for an all-weather lacrosse mesh against the eight KPIs that govern its on-field performance and legality: strength (yarn/knot/mesh breaking force and tenacity), water-absorption (equilibrium and 24 h uptake), wet-stretch / dimensional-stability (moisture- and load-driven elongation, creep, permanent set, swelling), weight (areal/linear density and density-driven wet weight gain), UV-durability (strength and toughness retention under sunlight/xenon-arc aging), abrasion (wear resistance of fiber/coating under repeated contact), pocket-legality (governing-body crosse and pocket-depth/hole-size limits that the material must hold wet and under load), and stiffness/hold (modulus and pocket consistency governing ball hold and release). It synthesizes fiber-family chemistry (nylon 6, nylon 6/6, PET polyester, HDPE, UHMWPE/HPPE, polypropylene) and how amide vs ester vs polyolefin backbones set baseline tenacity, water uptake, density, and UV resistance; the moisture-plasticization mechanism that drops nylon's Tg, modulus, and dimensional stability (causing wet elongation / "bagging out") while PET/polyolefins stay dimensionally stable when wet; finishing/coating chemistry (paraffin wax, polyurethane/TPU, silicone/PDMS, carbon black, HALS) that trades water-resistance and UV-durability against stiffness, weight, and hold; construction effects (knotted vs knotless, mono- vs multifilament, heat-set, diamond-mesh solidity); and the ASTM/ISO test standards and NCAA/NFHS/World Lacrosse rules that operationalize these KPIs.
- 33/41 citations verified (arXiv/Crossref); source years 1958–2026
- 45 claims · 8 open problems · 5 debates · 0 benchmarks
- dropped (unverified-anchored): {'claims': 14, 'open_problems': 0, 'debates': 0, 'benchmarks': 0, 'positions': 0, 'relations': 4}
Load CONTEXT.md into your agent to inherit this field without re-running the research. index.json is the machine-readable graph (nodes + edges); the subdirectories hold the notes.
This is a 0xLT/kpm knowledge package (knowledge.json). Publish it as a tagged GitHub repo, then any consumer installs it with kpm — no re-research:
kpm add github:<owner>/<repo>#v0.1.0
kpm compose # composes into a vault; load CONTEXT.md into your agentConfidence is corpus-relative (conditional on the cited sources). Built 2026-06-17.