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Specifications

PU anti-yellowing glossy white topcoat (DP90100) Product’s name: PU anti-yellowing glossy white topcoat Product’s Numbers: DP90100 Application: Apply to furniture which requires anti-yellowing glossy white topcoat.

1. Wooden furniture.

2. Furniture with light color calico paper.

Properties: 1. Excellent yellowing resistance, and good weatherability. 2. Rich, good hardness, hiding power, able to polish.

3.Good mirror effect, high gloss.

Recommended ratio:

Paint : DPR90 (curing agent): thinner = 100:80:80

The drying time:

Touch dry: 60Minutes, Hard dry : 48hours Gel time: 4Hours (25 ) Viscosity: 8-12 seconds ( Iwata Cup II),

Coating mode: Spraying, brush Coating conditions: Recommended PU topcoat thinners in different temperature:

Product name

 

PU winter paint thinners

PU summer paint thinners

Product Numbers

 

DPX8100

 

DX8600

 

DX303

 

DX303C

 

Applicable temperature (o C),

 

10

 

10-20

 

20-30

 

30

 

Note: To achieve the best effect, choose the thinner accounting to the actual demands.

Application process:surface preparation -sealer-spray stain -PU sealing primer -PE/PU transparent primer - PU anti-yellowing glossy white topcoat

 

 

Note:

1.Mixing on proper ratio. Matched products of Doit are recommended in order to get the best effect. Don’t risk mixing products.

2.Stir evenly before spraying. Close container after each use.

3.Wash painting tool immediately when painting is finished, in order to avoid damage.

4.Before painting, sanding carefully between each coat, lest causing poor adhesion.

Package and storage:

The paint shall be stored in a sealed container in a shady, cool, dry and ventilated environment to avoid rain, high temperature and fire with a shelf life of 12 months.

Tips & Warnings:

  1. This product belongs to flammable items, please pay attention to fire,
  2. Use only with adequate ventilation.
  3. Avoid contact with skin and eyes or rinse with water and get treatment timely.
  4. Keep out of reach of children.

Note: The above information is based on our current knowledge and experience. To get the best effects, please modify the data according to the practical demands.