Description
Natural fibres are a renewable resource, par excellence – they have been renewed by nature and human ingenuity for millennia. They are also carbon neutral: they absorb the same amount of carbon dioxide they produce. During processing, they generate mainly organic wastes and leave residues that can be used to generate electricity or make ecological housing material. And, at the end of their life cycle, they are 100% biodegradable.
Natural fibers have widely enlarged their range of applications due to the intensive scientific and technical research undertaken by several institutes all over the world, turning these amazing materials into an alternative feasible choice for many situations in civil engineering, medicine, sports, architecture, design, among others.
Now it's time to discuss all these new advances and the potential developments by bringing together companies, universities, research and technological centers and entrepreneurs.
In this way, the 1st International Conference on Natural Fibers – Sustainable Materials for Future Applications, to be held in Guimarães-Portugal, intends to be the meeting point for all those interested in these fantastic materials called Natural Fibers.
Topics
The conference topics include:
- Animal and plant based natural fibers
- Fibers produced based on natural resources
- Innovative and functional natural fibres
- Nano- dimensional natural fibres (e.g., nano cellulose)
- Properties and characterization of natural fibres
- New, efficient and cost effective processes for natural fibre extraction and processing
- Natural fiber modification techniques
- Textile processing of natural fibres (spinning, weaving, coloration, finishing, etc.)
- Advanced fibrous structures based on natural fibres
- Natural fibre based polymeric and cementitious composites
- Green composites
- Applications of natural fibres in high-end sectors (civil engineering, medicine, transportation systems, sports, etc)
- Innovative applications of natural fibers
- Product design with natural fibers
- Modelling and prediction of properties and behaviour