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Test conditions and test analysis of the Cone Calorimeter - News - -standard groups (Hong Kong) co., LTD

Test conditions and test analysis of the Cone Calorimeter

1. Preparation of sample pieces
Conical calorimetry test sample pieces, should be intact, uniform material quality, the size of 100mm × 100mm square, the thickness of 3 ~ 20mm, commonly used thickness of 4, 10mm.
 
Sample parts can be pressed with a mold, or cut from the finished sheet. In short, no matter which way to make the sample pieces, must not appear uneven thickness, size bubble, pit lack of material, the surrounding convexity and concave phenomenon. Especially for the sample pieces pressed by mold, when the material is mixed or stirred, it should be repeated several times on the equipment to fully ensure that the material can be mixed evenly. This way the pressed sample pieces of material to ensure uniformity, stable results in the combustion test, and better repeatability of data.
 
Usually, the sample pieces to be tested should be selected of the same thickness for testing and comparison. It is best to prepare more than 2 pieces of each sample to be tested. Before testing, the sample pieces should be wrapped with aluminum foil on all 5 sides to prevent excessive dripping and inaccurate testing during combustion. A large flat surface exposed outside is used to mark the number, receive radiant heat and observe the test phenomenon.



 
2. Sample combustion box
Sample combustion box made of heat-resistant stainless steel material, is an important part of the test sample pieces, its shape and size are clearly defined and required, belong to the random accessories. The sample combustion box consists of lid, box body and liner layer, as shown in the figure.
 
Before the sample combustion test, the Cone Calorimeter sample combustion box should be cleaned inside and outside, there should not be any debris adhered to the lid, box body. If there are adhesions on the sample combustion box, when burning the test sample pieces, there will be irregular melting and falling off, thus affecting the authenticity of the collected data and quality loss, etc., resulting in inaccurate experimental results.

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