Technical Parameters Buyers Should Review
Instead of only comparing grass height and density, buyers should ask for performance data that reflects real field quality.
Recommended evaluation indicators include:
Wear resistance:
Vivaturf reference value: up to 6,500 cycles under ASTM D3884
This helps indicate resistance to repeated foot traffic and surface abrasion.
Yarn tensile strength:
Vivaturf reference value: ≥120 N
This helps reduce yarn breakage and surface degradation.
Yarn pull-out force:
Vivaturf reference value: ≥35 N
This reflects how firmly the yarn is anchored into the backing.
Shock absorption:
Vivaturf reference range: 40%–55%
This supports user comfort and joint protection.
Vertical deformation:
Vivaturf reference range: 5–8 mm
This helps balance cushioning and stable foot support.
UV aging resistance:
Vivaturf reference value: up to 6,000 hours
This supports outdoor color and mechanical stability.
Hydrolysis resistance:
Vivaturf backing strength retention: ≥95% after 1,000 hours accelerated hydrolysis testing
This is especially important in humid, rainy, or indoor high-humidity environments.
Environmental safety:
- Heavy metal migration: ≤0.3 mg/kg
- TVOC emission: ≤0.22 mg/(m³·h)
- Formaldehyde and benzene-related substances: not detected under relevant test conditions
These values are far more meaningful than pile height alone.
8. Installation and Quality Control Are Also Part of the Product
A good non-infill turf system also needs professional installation and field acceptance testing. Even a high-quality product can underperform if the base is uneven, the seams are poorly bonded, or the drainage design is incorrect.
Vivaturf recommends full-process quality control:
- Base flatness controlled within ≤3 mm over 3 m
- Base strength of C25 or above, depending on project requirements
- Verified third-party test reports before installation
- Controlled seam bonding and edge fixing
- On-site testing for shock absorption, vertical deformation, friction, drainage, and environmental safety where required
This system-based approach helps ensure that laboratory performance can be translated into real field performance.
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