Aalto University awarded The European Paper Recycling Award 2015
Aalto University has received the 2015 Paper Recycling Award from the European Recovered Paper Council (ERPC) for the development of a novel spinning technique that allows to produce textiles and garments from waste paper and waste card board. The exhibited fabrics were produced at Aalto University鈥檚 Department of Design by Marjaana Tanttu. The project was conducted in tight collaboration with VTT where pretreatment methods for the recycled paper and board were developed in the group of Professor Ali Harlin.
The novelty of the Ioncell-F process lies in its special solvent, a so-called ionic liquid, which is capable of dissolving cellulosic waste material without the addition of toxic chemicals. This allows to spin fibers for the production of textiles and garments, explains Professor Sixta.
The process is currently further developed within the projects 鈥淒esign Driven Value Chains in the World of Cellulose鈥 (TEKES) and 鈥淒esigned high-value products from zero-value waste textiles and fibres via design driven technologies鈥 (short: Trash2Cash, Horizon2020).
The ceremony was held at the European Parliament. From left: Eva Kaili (Member of the European Parliament), Professor Herbert Sixta, Yibo Ma, Michael Hummel, and Henri Vermeulen (ERPC chairman).
Prototype garment including fibers spun from cardboard as design element. Photo: Eeva Suorilahti.
Valokuva: Jan Van de Vel.
Read more news
Applications open: Aalto Creatives pre-incubator autumn 2026
The next Aalto Creatives pre-incubator starts in September. Applications close on 7 September. Join the info event on 27 August to hear from alumni and meet the Aalto Creatives team.
A Finnish working group鈥檚 artwork brings a cooling garden to Spain, which is sweltering in the heat
Through their garden art installation, a group of Finnish architects and artists proposes vegetation and a sense of community, among other things, as solutions to urban heat islands and the environmental crisis.
RealYou AI will develop the next generation of personalized AI decision assistants
Researchers to build cognitive machine learning that will improve decision-making with instantly personalized intelligent assistance.