Objective
Background: With the banning of R113 (CFC) production and the Volatile Organic Compounds (VOC) Directive, the European dry cleaning industry has already been reduced in capacity. New technologies of wet cleaning and hydrocarbon solvents are needed to re-establish the cleaning capacity, which the textile industry and the public require. This study will provide the basis for drafting commercial machine based test methods for assessing the cleanability of textile articles in the new processes and will make possible appropriate care labelling. Objectives The overall objectives of this project are to present draft standard test methods for wet cleaning and hydrocarbon cleaning of textiles to CEN/TC248. In particular test methods must take into account of the need to have a faster-than-real time predictable test for wet cleaning to allow for the lower volatility of hydrocarbon solvents in drying.
Work programme Wet cleaning involves treating the textile with reduced mechanical action and chemicals to both protect and enhance cleaning efficiency. An accelerated, predictive test method, will be developed which may be carried out in a wide variety of commercially available systems. This test method, which will be validated in an inter- comparison trial and will be conversed to a draft standard. The higher flash point and lower volatility of hydrocarbon solvents may give rise to problems in the drying of sensitive textiles. Alternative techniques for aiding drying include high extraction forces, longer drying times and higher drying temperatures. These variables will be investigated in order to develop a test method, which will be validated in an inter-comparison trial, prior to conversion to a draft standard.
State of progress: The project has recently started.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences chemical sciences organic chemistry volatile organic compounds
- natural sciences chemical sciences organic chemistry hydrocarbons
- engineering and technology materials engineering textiles
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Coordinator
HG2 7LZ North Yorkshire
United Kingdom
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