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The Faculty of Textile Engineering was founded in 1947 as the fourth faculty of the Technical University of Lódź. The name of this faculty was changed in 2001 to the FACULTY of TEXTILE ENGINEERING and MARKETING. In academic year 2003/2004 the Faculty has obtained the accredit of Accredited State Commission for the period of five years. Many departments of the Textile Faculty will participate in this project, offering the following expertise:
- Structure of knitted fabrics and their basic structural parameters with relationship to technological parameters.
- Computer-oriented analysis, synthesis and optimization of materials and structures.
- Application of A.I. techniques to the simulation of textile structures.
- Examination of fine fiber structures and relationship between fine structure and physical properties of fibers and their dye-ability.
- Examination of physical and chemical phenomena during modification and chemical finishing processes.
- Chemical finishing of textiles and textile care (laundry and dry-cleaning of textiles).
- Bioactive fibers forming polymers and man made fibers for medical application.
- Chemistry and technology of synthetic fibers and fibers forming polymers.
- Investigation of mechanism and kinetics of polymerization and copolymerization processes, prediction of polymers and copolymers properties.
- Computer-aid in design of textile structures and technological processes.
- Measuring, control systems and automation of textile processes.
- Theoretical and experimental assessment of textile properties and their behaviour
- Textile mechanics, textile structures and composites.
Regarding the Artificial Intelligence tasks that LODZ will lead in this Project, they have strong expertise in the A.I. applied to textiles, were they have applied artificial neural networks to:
- prediction of selected parameters of yarn on the basis of raw material and technological parameters,
- modelling of phenomena occurring during longitudinal tension pulses in visco-elastic linear textile products,
- modelling of permeability features of woven fabrics.
In the process of modelling artificial neural networks type Multilayer Perceptrons, Radial Basis Function Networks and Regression Networks were used. They have many articles and publications regarding this theme. Home Objectives Consortium Partners News Archives Contact us Development of a rapid configuration system for textile production machinery based on the physical behaviour simulation of precision textile structures Partners
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