Time filter

Source Type

Östermalm, Sweden

This paper investigates the genetic based re-planning search strategy, using neural learned vibration behavior for achieving tolerance compensation of uncertainties in robotic assembly. The vibration behavior was created from complex robot assembly of cogged tube over multistage planetary speed. Complex extensive experimental investigations were conducted for the purpose of finding the optimum vibration solution for each planetary stage reducer in order to complete the assembly process in defined real-time. However, tuning those parameters through experimental discovering for improved performance is a time consuming process. Neural network based learning was used to generate wider scope of parameters in order to improve the robot behavior during each state of the assembly process. As a novel modelling formalism of reactive hybrid automata, we propose the Wormhole Model with both learning and re-planning capacities (WOMOLERE). For our application, the states of hybrid automaton include amplitudes and frequencies of robot vibration module. The transition action is a function of minimal distance and uncertainty effects due to jamming during the assembly process. The results suggest that the methodology is adequate and could be recognized as an idea for designing of robot surgery assistance methods, especially in soft-robotics. Source

Mazzetti M.J.,Sintef | Eldrup N.H.,El Tek | Anthonsen K.L.,GEUS | Haugen H.A.,El Tek | And 5 more authors.
Energy Procedia | Year: 2013

The Nordic CCS roadmap is developed in the NORDICCS project, a collaborative research project between leading CCS research institutions in the five Nordic countries. The roadmap will outline jointly developed Nordic strategies for widespread implementation of CCS in the Nordic countries in order to help Nordic industries meet a carbon constrained future with a high price on carbon emissions. It will identify pathways and milestones for large-scale Nordic implementation of CCS resulting in beneficial economies of scale that will increase the likelihood of implementation. Several novel cases will be presented that reveal future Nordic opportunities, including industrial CCS where emitters have large point sources of CO2 localized in clusters, and natural gas sweetening with the potential for use of Enhanced Oil Recovery (EOR) to defray the costs. Recommendations will be made for actions relating to joint political work in the Nordic region for improving the framework conditions for CCS. © 2013 Published by Elsevier Ltd. Source

News Article
Site: http://phys.org/technology-news/

Construction and demolition waste is the second largest source of waste, after mining, in Sweden (30%), and when many concrete buildings that were built in the 1960s and 70s, the Million Programme, soon will be renovated the waste stream is expected to increase. But even though the amount of the waste is vast, only about half of the waste is recycled. The most common materials in the waste (soils and dredge spoils excluded) are wood, metal, plastics and concrete. As a recycled material concrete is most commonly used as fill material in road constructions. In the project Constructivate, initiated by CCR (Competence Centre Recycling) with funding from the Mistra programme Cloosing the loop, the participants, including the CCR-members Chalmers University of Technology, Chalmers Industriteknik, Renova, Stena Recycling, NCC, SP, Swerea and IVL will increase the recycling rate and specifically aim for the types of materials that today are not seen as something worth to recycle. Chalmers is represented by the division of Construction management at the Department of Civil and environmental engineering and the division of Energy and materials at the department of Chemistry and chemical engineering. At Chemistry and chemical engineering Ulf Jäglid and Rikard Ylmén are exploring the possibilities in recycling concrete in a way that is sustainable, both economically and environmentally. "We are investigating if it is possible to crush the concrete and find out how active it is. Normally there is around 10% of active components left in the demolition material that yet hasn't reacted with water and that be used once again as a cementing material," says Ulf Jäglid. To get to this you have to remove stone and rebars from the concrete. Another possible way is to reverse the production process, and instead of mixing cement, water and ballast, which results in concrete, remove these materials from each other. "That is the dream, to create such reversibility. That the process can be made both ways," says Ulf Jäglid. A third way is to standardise the concrete in buildings, so that they, like pieces of Lego, can be put together in different constructions and taken apart. The most important thing, according to Ulf Jäglid, is that the method must be working on the market and thereby may be implemented. One of the greater benefits you get from recycling concrete is that the CO2-emissions may be reduced, since much CO2 is produced in the making of new cement when calcium carbonate is burnt. Sweden is world leading when it comes to research in concrete recycling and now when representatives from the whole value chain is involved in CONSTRUCTIVATE the knowledge exchange between academia and industry will strengthen this position. The project also contains an extensive life cycle analysis, which makes it more likely that the results will be used. The roll of the chemists in the project is to contribute with knowledge at a molecular level. The art of building with concrete has been known for more than 2000 years, but what happens with the atoms and molecules is still relatively unknown. Now when the concrete is to be broken down as efficiently as possible, knowledge in chemistry is necessary. "Without knowledge in concrete chemistry it is difficult to optimise the recycling. We will take the process a step further by explaining what actually happens. If we know what we have, we also know what to do to start a reaction. Concrete is a very complex material so if we don´t know what we have, then we can make tests for a hundred years without finding the right method," Ulf Jäglid says. Explore further: From downcycling to recycling: Using lighting to separate cement particles from stone

Levidow L.,Open University Milton Keynes | Lindgaard-Jorgensen P.,DHI | Nilsson A.,IVL | Skenhall S.A.,IVL | Assimacopoulos D.,National Technical University of Athens
Journal of Cleaner Production | Year: 2015

Eco-innovation combines economic advantage with lower ecological-resource burdens. Eco-innovation has been generally directed at energy input-substitutes, component recycling, etc. Some companies have made investments reducing resource burdens in the production process. This study investigated options for eco-efficiency improvement in two large manufacturing companies, Volvo and Arla Foods. Their impetus for eco-innovation comes from the companies' environmental policies, as well as from external drivers such as future higher costs and resource scarcity. Relative to their respective industrial sector, these companies represent strong prospects for reducing resource burdens in water-service processes, especially from chemical inputs and wastewater. Such eco-innovations involve more complex interactions beyond the production site, so the options warrant a whole-system comparative assessment.The EcoWater project has analysed the entire water-service value chain through meso-level interactions among heterogeneous actors (process-water users, providers and wastewater treatment companies). The project has developed a methodology to obtain the necessary information, to involve stakeholders in the assessment and to facilitate their discussion on alternative options. Each study stimulated internal company discussions on the need and means to evaluate whole-system effects of investment decisions. Inter-organisational cooperation helped to anticipate how meso-level resource-efficiency relates to lower burdens in wastewater treatment.The assessment method can be extended to any water-service system. By comparing options, the method can facilitate better decisions improving meso-level resource efficiency. As wider implications, some improvement options may complicate 'eco-innovation' as double-eco benefits: win-win for whom, where and what level? © 2014 Elsevier Ltd. Source

Bosankic I.,IVL | Bosankic I.,University of Tuzla | Bosankic I.,ABB | Banjanovic-Mehmedovic L.,IVL | And 5 more authors.
Cybernetics and Information Technologies | Year: 2015

Intelligent Transport Systems (ITS) fall in the framework of cyberphysical systems due to the interaction between physical systems (vehicles) and distributed information acquisition and dissemination infrastructure. With the accelerated development of wireless Vehicle-to-Vehicle (V2V) and Vehicle-to Infrastructure (V2I) communications, the integrated acquiring and processing of information is becoming feasible at an increasingly large scale. Accurate prediction of the traffic information in real time, such as the speed, flow, density has important applications in many areas of Intelligent Transport systems. It is a challenging problem due to the dynamic changes of the traffic states caused by many uncertain factors along a travelling route. In this paper we present a V2V based Speed Profile Prediction approach (V2VSPP) that was developed using neural network learning to predict the speed of selected agents based on the received signal strength values of communications between pairs of vehicles. The V2VSPP was trained and evaluated by using traffic data provided by the Australian Centre for Field Robotics. It contains vehicle state information, vehicle-to-vehicle communications and road maps with high temporal resolution for large numbers of interacting vehicles over a long time period. The experimental results show that the proposed approach (V2VSPP) has the capability of providing accurate predictions of speed profiles in multi-vehicle trajectories setup. Source

Discover hidden collaborations