Ultrafine grains - a new option for light metals

The potential of ultrafine grained light metals is reviewed. The fundamental metallurgical processes, microstructures developed and properties obtained are first considered. Methods employing severe plastic deformation to achieve ultrafine structures are described and the obstacles to their industrial scale exploitation discussed. Recent advances include the incremental equal channel angular pressing (I-ECAP) process developed at the University of Strathclyde. Ultrafine grained materials are currently utilised in sputtering targets and high value medical devices, but large potential markets exist in the leisure and sports sectors, and in the longer term for aerospace and automotive applications

Finite element analysis of forward extrusion of 1010 steel

Reliability of FE simulation of metal forming processes depends critically on the proper definition of material properties, the friction boundary conditions and details of the FE approach. To address these issues, the room temperature strain hardening behaviour of 1010 steel was established by performing a uniaxial compression test for the true strain of up to 1.5. Friction was evaluated using a ring test, with the two faces of the ring coated with a phosphate conversion layer and soap; the friction experimental results were matched with the FE established reference curves. The experimentally obtained material and friction input data were used in FE simulation, employing Arbitrary Lagrangian Eulerian adaptive meshing, to provide a valuable insight into the process of forward extrusion of an industrial component

On the Unicity of Smartphone Applications

Prior works have shown that the list of apps installed by a user reveal a lot about user interests and behavior. These works rely on the semantics of the installed apps and show that various user traits could be learnt automatically using off-the-shelf machine-learning techniques. In this work, we focus on the re-identifiability issue and thoroughly study the unicity of smartphone apps on a dataset containing 54,893 Android users collected over a period of 7 months. Our study finds that any 4 apps installed by a user are enough (more than 95% times) for the re-identification of the user in our dataset. As the complete list of installed apps is unique for 99% of the users in our dataset, it can be easily used to track/profile the users by a service such as Twitter that has access to the whole list of installed apps of users. As our analyzed dataset is small as compared to the total population of Android users, we also study how unicity would vary with larger datasets. This work emphasizes the need of better privacy guards against collection, use and release of the list of installed apps.Comment: 10 pages, 9 Figures, Appeared at ACM CCS Workshop on Privacy in Electronic Society (WPES) 201

Kształtowanie przyrostowe wielofunkcyjnych pakietów blaszanych do tłoczenia

Incremental shear has been used to vary blank thickness along its length. The method has been proved to manufacture so called Tailor Sheared Blanks featuring both gradually and stepwise varying thickness of the sheet. Tool configuration, produced tailored blanks and simulation of the incremental shear process for shaping of TSB were described

COMPATIBILITY OF FLUOROCHROME LABELING PROTOCOL WITH RAMAN SPECTROSCOPY TO STUDY BONE FORMATION

Oral Communication presented at the ";Forum des Jeunes Chercheurs";, Brest (France) 2011