Part of the guide: Buying PU sealant from China: the eight checks

quality · procurement

How to read a sealant data sheet

Updated 2026-11-10

Every model page on this site has the same four-column table. Most buyers read the third column and ignore the other three, which is where the useful information is.

Column 1: the property

Tensile strength, elongation at break, skin time, Shore A, density, extrusion rate, volatile content, cure rate, elastic recovery. Each one predicts a different failure mode. A data sheet that lists only tensile strength is telling you what the supplier thinks you want to hear.

Column 2: the standard

A number without a standard is an opinion. GB/T 528 defines the tensile test; GB/T 13477.5 defines skin time; HG/T 4363 defines cure rate. If a supplier quotes a tensile figure without a method, you cannot compare it with anyone else’s.

Where a catalogue cites a method that does not match the property — our own catalogue once cited a shear standard for elastic recovery — treat it as a documentation error and ask for the correct reference.

Column 3: the typical value

This is a design target, not a guarantee. Two batches can differ by several percent and both be in specification. If you write the typical value into a purchase contract as a minimum, you have bought a dispute.

The practical approach: specify a minimum that the process can actually hold, and ask for the batch record to verify it lot by lot.

Column 4: the method

Sometimes a standard number (GB/T 528), sometimes a note. The method tells you what the number would look like if you tested it yourself — useful when a competitor quotes a different figure for a similar product.

What a data sheet will not tell you

  • How the product behaves on your substrate after your preparation method.
  • How it cures in your bay at your temperature and humidity.
  • Whether the batch you receive matches the catalogue.

Only a coupon test and a batch record answer those.

One row, read properly

Take a single row from a windscreen adhesive table:

Tensile strength | 3.0–4.0 MPa (spec) | 3.5 (typical) | GB/T 528

What each cell is telling you:

  • Property — the peak stress of a standard dumbbell specimen pulled at a fixed rate. It says nothing about peel, fatigue or adhesion.
  • Standard — GB/T 528 defines specimen geometry and pulling speed. A number quoted to a different standard is not comparable, even if the units match.
  • Typical — the centre of the process window, not a guaranteed minimum. A batch at 3.2 MPa is inside the spec and 9% below typical.
  • Method — how you would reproduce it. If this cell is blank or says ”/”, the row is decoration.

Read one row this way and the whole table becomes a set of claims you can test rather than a set of numbers you compare.

The rows that predict failure

Most buyers look at strength. The rows that actually predict a comeback are:

Row What it predicts
Skin time Whether the bead can be tooled before it skins
Cure rate Whether the vehicle or joint can be released on schedule
Elastic recovery Whether the bead accumulates strain over cycles
Volatile content Whether the bead shrinks and pulls away from the edge
Extrusion rate Whether the gun can lay the bead at the speed the job needs
Sag resistance Whether a vertical bead stays where it was put

A product can have an excellent tensile figure and a poor recovery figure, and it will fail in a moving joint. That is the mismatch the four-column table is designed to expose.

What this means for buyers

  1. Compare numbers only when the method matches.
  2. Treat typical values as design targets, not guarantees.
  3. Ask for the batch record on the two properties that matter for your joint.
  4. A data sheet without methods is marketing, not engineering.

Models in this note

Questions buyers ask

Which column of the table matters most?
The standard. A tensile figure without a method cannot be compared with anyone else's, and a typical value without a specification is a design target rather than a guarantee.
Is the typical value a minimum?
No. It is the centre of the process window, and a batch 8% below typical can still be inside specification. Specify a minimum the process can hold, then check it against batch records.
Which rows actually predict a comeback?
Skin time, cure rate, elastic recovery, volatile content and sag resistance. Strength rarely causes field failures; cure behaviour and movement capability do.

Related notes