Material parameters’ effect on polymer scratch

What is it about?

Using the scratch experimental results of a set of polypropylene (PP), the Self-Organizing Map (SOM) method, an artificial neural network algorithm, was adopted to study the effect of various material parameters on polymer scratch. Especially suitable for the analysis of high-dimensional data with nonlinear statistical relationships, SOM method helps to find out the influence of different material parameters on scratch behavior.

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Why is it important?

Due to its inherited complexity, the polymer material parameters’ effect on the scratch resistance is difficult to detect. The SOM method can be used to estimate the possible performance of polymeric materials to certain extent without extra scratch experimental work. The results obtained in this work helps researchers to decide which group of properties should be paid more attention when studying the coupling effect of material parameters on polymer scratch resistance.