Obiettivo
Paper industry is a key element of the European industry, which generates an annual turnover in excess of Euro 400 billion, providing direct employment for over 260.000 people and indirect employment for around four million. Paper is produced in hundreds of different grades each has to meet certain requirements some paper buyers impose special requirements. For a small to middle size paper mill this means that the product variety could be exhausting and the paper mill bottom line result often depends completely on the efficiency of the adjustment procedure at grade changes. Even if a manual laboratory makes the final examination of paper for delivery, this will not help very much to improve the efficiency of the paper mill The mill production personnel have to trust in on-line instruments. The scientific/technological objectives consist of integrating existing QCS and DCS solutions in a total IT system and developing advanced subsystems to be integrated on it, based on emerging opto-electronic and sensory technologies: (1) An improved detector technology for basis weight sensors allowing fast sampling and higher sensitivity; (2) A new optical design of an IR based Moisture gauge allowing high-frequency sampling; (3) A new detector for measuring X-ray absorption in mineral compounds within the paper or in coating layers with faster sampling and higher sensitivity exploiting emerging silicon detector technology; (4) A new material for the caliper measurement head ,which can endure the heavy abrasion forces in the contact with the paper; (5) A new sensor based on NIR technology able to measure coating layers, chemical compounds in the paper and amount of binding forces between the cellulose fibres in the sheet based on front edge photo diode technology; (6) A new sensor based on super fast cameras and FPGA technology for image processing for surface analysis of paper webs in full speed (7) An improved induction-heated caliper control actuator for improved CD thickness contr
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliinformatica e scienze dell'informazionesoftware
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria elettronicasensorisensori ottici
- ingegneria e tecnologiaingegneria dei materialirivestimenti e pellicole
- scienze socialieconomia e commercioeconomia e gestione aziendaleoccupazione
- scienze naturaliscienze chimichechimica inorganicametalloidi
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