ASTM D765-87(2020)

Standard Specification for Raw and Burnt Sienna Pigments

Translate name

STANDARD published on 1.6.2020


Language
Format
AvailabilityIN STOCK
Price55.00 USD excl. VAT
55.00 USD

The information about the standard:

Designation standards: ASTM D765-87(2020)
Publication date standards: 1.6.2020
SKU: NS-997636
The number of pages: 2
Approximate weight : 6 g (0.01 lbs)
Country: American technical standard
Category: Technical standards ASTM

The category - similar standards:

Pigments and extenders

Annotation of standard text ASTM D765-87(2020) :

This specification establishes the properties and requirements for the pigments commercially known as raw sienna and burnt sienna in the dry and paste in oil forms. The dry pigments shall be sampled and tested as appropriate, and conform accordingly to composition requirements as to iron oxide, calcium compounds, moisture and other volatile matter, coarse particles (total residue retained on a No. 325 sieve), and organic colors. The pigments in paste in oil form shall conversely be tested and conform to composition requirements as to pigment, nonvolatile vehicle, moisture by distillation, and coarse particles (total residue retained on a No. 325 sieve). Both forms shall adhere to specified mass color, tint character, and tinting strength requirements as well.


Keywords:
burnt sienna, iron, manganese, pigment, raw sienna,, ICS Number Code 87.060.10 (Pigments and extenders)

We recommend:

Technical standards updating

Do you want to make sure you use only the valid technical standards?
We can offer you a solution which will provide you a monthly overview concerning the updating of standards which you use.

Would you like to know more? Look at this page.




Cookies Cookies

We need your consent to use the individual data so that you can see information about your interests, among other things. Click "OK" to give your consent.

You can refuse consent here.

Here you can customize your cookie settings according to your preferences.

We need your consent to use the individual data so that you can see information about your interests, among other things.