Novel Microrobotic Devices for Improving Quality of Paper ProductsMSc Pooya Saketi has developed a microrobotic platform to characterize mechanical properties, such as bonding strength, of individual pulp fibers. By finding chemical additives which make the fibers and bonds stronger, it will be possible to make stronger packages with less pulp.
The designed platform can be used for studying the effect of chemical additives on the mechanical properties of pulp fibers and bonds.
Paper and cardboard are widely used for packaging purposes. The goal of packaging is storing or transporting various products without damaging them. The increase in the number of products sold worldwide and through internet leads to the growth in number of packages required. The raw material for making paper and cardboards is pulp fibers, which is made of wood. Making packages using less pulp but with the same strength as regular packages will lead to cutting paper and board manufacturing costs and ensuring production sustainability.
Public defence of a doctoral dissertation on Tuesday, 21 July 2015
The doctoral dissertation of MSc (Tech) Pooya Saketi in the field of Microsystems Technology titled “Microrobotic Platform with Integrated Force Sensing Microgrippers for Characterization of Fibrous Materials: Case Study on Individual Paper Fibers” will be publicly examined at the Faculty of Engineering Sciences of Tampere University of Technology (TUT) in room Pieni Sali 1 in the Festia Building (address: Korkeakoulunkatu 8, Tampere, Finland) at 12:00 on Tuesday, 21st of July 2015.
The opponents will be Professor Stéphane Regnier (Université Pierre et Marie Curie, ISIR, France) and Professor Wolfgang Bauer (Graz University of Technology, Austria). Professor Pasi Kallio from the Department of Automation Science and Engineering, Micro- and Nano-systems Research Group at TUT will act as Chairman.
Pooya Saketi comes from Iran, and works as a researcher at the Department of Automation Science and Engineering, Micro- and Nanosystems Research Group at TUT.
The dissertation is available online at: http://URN.fi/URN:ISBN:978-952-15-3550-5