Better insight in your product development process
It is not possible to make a 1:1 comparison between a downscaled test and a full-scale test, but we can use statistics and data modelling to understand the correlation between small-scale and full-scale testing. This provides a better indication of the expected outcome.
If a product performs poorly in the small-scale test, the customer can adjust the design or choice of materials until the product performs as intended, before moving on to full-scale testing and classification.
Small-scale testing is fast and cost-effective, allowing for the evaluation of multiple materials.
For example, if an adhesive is required for a product, 10 different types with the right strength can be selected and quickly tested, evaluated, and ranked based on their fire performance.
On that basis, a manufacturer can then select three materials and develop different prototypes of the product.