Modelling material transfer in metal rolling using plasticine

Plasticine strips are rolled between cylindrical rollers to model the phenomenon of material transfer in metal rolling. Strips of thin plastic film ('clingfilm') on the plasticine strip are used to model the oxide layer that covers the surface of aluminium. The effect of gaps opening up between the clingfilm strips is investigated. It is found that the percentage area of the exposed strip giving rise to transfer of material increases with the gap width. The evidence strongly suggests that plasticine particles transferred to the rolls are able to pick off plasticine from the strip on successive passes. Larger plasticine particles are more likely to show this behaviour and consequently grow in size. The results confirm the usefulness of plasticine as a suitable material to investigate transfer layer formation in metal rolling, and help inform development of experimental procedures to study the evolution of real metal transfer layers. © 2007 Elsevier B.V. All rights reserved.

Durability performance of self-compacting concrete

Although self compacting concrete (SCC) is currently used in many countries, there is a fundamental lack of the intrinsic durability of the material itself. This article presents the outcomes from a research program on principal indicators that define the durability of SCC (sorptivity, porosity and chloride ion permeability) and compares these indicators with the corresponding parameters of conventional concrete. The results show, for the first time, that there is a correlation between the various durability indicators for the specific filler additives used in the mix designs incorporated in this paper. Such a correlation may be used to assess the durability of SCC without the need to rely on time consuming artificial weathering experimental procedures. © 2012 Elsevier Ltd. All rights reserved.

Exploring the use of sensors to measure behavioral interactions: an experimental evaluation of using hand trajectories.

Humans appear to be sensitive to relative small changes in their surroundings. These changes are often initially perceived as irrelevant, but they can cause significant changes in behavior. However, how exactly people's behavior changes is often hard to quantify. A reliable and valid tool is needed in order to address such a question, ideally measuring an important point of interaction, such as the hand. Wearable-body-sensor systems can be used to obtain valuable, behavioral information. These systems are particularly useful for assessing functional interactions that occur between the endpoints of the upper limbs and our surroundings. A new method is explored that consists of computing hand position using a wearable sensor system and validating it against a gold standard reference measurement (optical tracking device). Initial outcomes related well to the gold standard measurements (r = 0.81) showing an acceptable average root mean square error of 0.09 meters. Subsequently, the use of this approach was further investigated by measuring differences in motor behavior, in response to a changing environment. Three subjects were asked to perform a water pouring task with three slightly different containers. Wavelet analysis was introduced to assess how motor consistency was affected by these small environmental changes. Results showed that the behavioral motor adjustments to a variable environment could be assessed by applying wavelet coherence techniques. Applying these procedures in everyday life, combined with correct research methodologies, can assist in quantifying how environmental changes can cause alterations in our motor behavior.