You will be redirected back to your article in seconds
Skip to main content

Hohenstein Develops Model to Predict Lifespan of Cotton Textiles

German based international research center Hohenstein Institute has developed a model that works to predict the lifespan for cotton textiles—an effort to maintain the value of textiles in the face of rising wholesale prices.

With Hohenstein’s new model, textile service companies can work out their costs for replacing worn out materials ahead of time.

“Measures to ensure that textiles maintain their value and have a long service life are becoming more and more important,” Hohenstein noted in a statement.

The weakened value of the euro is making raw materials that are imported into the E.U. and priced in U.S. dollars more expensive. According to Hohenstein, the wholesale price of cotton from Asia, when converted to euros, has risen 15 percent.

Hohenstein said the main factors affecting how well textiles maintain their value include the quality of the materials used and whether they are professionally cleaned. To ensure textiles remain in use for long periods of time, they have to be processed gently and, naturally, made from more high quality materials.

On the basis of the Hohenstein Quality Standard 701ff, experts in the Institute’s modern washing lab test how suitable textiles are for processing in commercial laundries or for use as workwear. They test the mechanical properties, color-fastness and, at times, even the fit and wearing comfort. This helps to provide an assessment when textiles are being selected, and helps with monitoring the quality of subsequent deliveries.

Hohenstein uses its technical regulation to test the textile’s whiteness, loss of tear strength and the damage factor, and the model can determine how well the textile will maintain its value and also the service life of use.

In regard to cleaning the fabrics, the Institute’s processes are monitored using test fabrics, which go through a specific number of washing and drying cycles in industrial conditions. Any existing weakness along the way can be identified.