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Thursday, 19 September 2019
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Raw materials & technologies, Applications

Colour changes prediction in the surfaces of painted wood

Tuesday, 3 September 2019

A critical view on the possibility of colour changes prediction in the surfaces of painted wood exposed outdoors using accelerated weathering in Xenotest has just been published.

In a new work, a weathering of 16 different coating systems applied on two wood species (Norway spruce and black locust) having two different degrees of roughness (smooth, rough) was performed. Source: supia – stock.adobe.com.
In a new work, a weathering of 16 different coating systems applied on two wood species (Norway spruce and black locust) having two different degre...

The capability to correlate exactly the process of outdoor natural weathering for the coating systems on wood surfaces via their artificial weathering in laboratory conditions would significantly reduce the testing times. In a new work, a weathering of 16 different coating systems applied on two wood species (Norway spruce and black locust) having two different degrees of roughness (smooth, rough) was performed with the aim to compare direction and intensity of their colour changes in natural exterior exposure without ground contact lasting from 6 to 36 months and in Xenotest lasting from 1 to 12 weeks, respectively.

Influence of wood species and its roughness on the precision of correlations

Correlation relationships between the natural and accelerated weathering of painted woods have been evaluated based on linear regressions for changing of the CIE-L*a*b* colour parameters ΔL* and ΔE* and by non-linear Spearman rank correlation of ΔE* values. The results exhibit better possibilities for correlating the colour changes for wood painted with pigmented coatings compared to transparent ones. The precision of the employed correlations has also been affected by the underlying wood species and its roughness before application of the coating. This means that, in the modeling of painted wood weathering, it is necessary to take into account a number of other factors in addition to the specific climatic conditions of exposure.

The study is published in: Journal of Coatings Technology and Research  March 2019, Volume 16, Issue 2, pp 339–352.

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