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Content archived on 2024-06-18

Development of a clean and efficient automatic dyeing control system (EDY)

Objective

Several innovations were introduced in the textile sector during the past few years but several other are needed to allow keeping the European textile industry competitive respect to countries having minor manufacturing costs and more tolerant legislation. Quality and environmental aspects have great impact on the competitiveness of the European textile companies. Objective of the EDY project is to approach these two primary issues by providing the textile-finishing industry with an efficient, cost-effecti ve tool for monitoring and controlling the process of fabric and yarn dyeing. EDY builds on the application of a vOPS probe (variable optical path spectrometer) and an Adaptive Control Loop. The spectrometer is able to measure the spectral composition of the dyeing bath in order to provide a new observation perspective to the control system. The adaptive control system is based on fabric specific dyeing models that allows it to estimate the status of the process by analysing the response of the dyeing mach ine to the control actions. The application of EDY system will provide the following technical advantages to the dyeing SMEs and to the whole dyeing industry: 1) less dyeing defects on dyed product due to easier on-line correction of the dyeing recipe; 2) lower environmental impact of the dyeing process by avoiding wron,g processes and consequently dyeing bath disposal; 3) lower dyeing time due to a more controlled process. Partners in the consortium include end users from the dyeing textile sector in volved in the definition of requirements and system validation, and system developers involved in prototyping and testing. RTD performers are in charge of design and optimisation. Transnational features are granted.

Call for proposal

FP6-2002-SME-1
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Funding Scheme

COOPERATIVE -

Coordinator

IRIS DP S.R.L
EU contribution
No data
Address
Via XXVI Aprile 3/E
MARIANO COMENSE (CO)
Italy

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Total cost
No data

Participants (12)