1,327 research outputs found

    New Perspectives in Manufacturing: An Assessment for an Advanced Reconfigurable Machining System

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    Traditionally manufacturing cycle involves several production processes that are carried out according to the required technologies tacking into account the constraint due to the production capacity provided by machine tools and the customers' orders time schedule In this paper, a new modular, reconfigurable and scalable machining centre is presented. The resulting system is characterized by the possibility of modifying the machining capacity as well as exchanging the role between workpieces and machining/operating resources. This augmented flexibility creates new opportunities for efficient manufacturing; however, the increased system complexity demands a new approach for the jobs scheduling and machining control. An architecture based on agents modelling is proposed and discussed

    A decision support system for disaster prevention in Urban Areas

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    This paper presents the use of Human Behavior Modeling for Disaster Relief and Emergency Management. The authors propose an innovative MS2G (Modeling, Interoperable Simulation and Serious Game) using Intelligent Agents to reproduce a complex scenario used for Verification, Validation and Accreditation of the approach. The case study is inspired to South Sudan situation and to the necessity to provide accommodations, food, health care services, security and administrative support to a large number of IDPs (Internally Displaced Persons) over a wide area. The simulator includes camp preparation and installation, air dr ops, logistics network creation while the model includes populations, entities and units as well as different equipment (e.g. cargo planes, helicopters, ground units, etc.

    Virtual and augmented reality as enablers for improving the service on distributed assets

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    The evolution of Augment and Virtual Reality is enabling new solutions. This paper addresses creation of applications to support service and maintenance of distributed systems. Indeed this approach could be applied to devices provided as service for industrial and individual use and could introduce new capabilities in terms of training for operators, control and remote service support. The paper presents a case study devoted to lead the introduction of these innovative solutions in industrial and health care system

    Monitoring of sea-ice-atmosphere interface in the proximity of arctic tidewater glaciers: The contribution of marine robotics

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    The Svalbard archipelago, with its partially closed waters influenced by both oceanic conditions and large tidal glaciers, represents a prime target for understanding the effects of ongoing climate change on glaciers, oceans, and ecosystems. An understanding of the role played by tidewater glaciers in marine primary production is still affected by a lack of data from close proximity to glacier fronts, to which, for safety reasons, manned surface vessels cannot get too close. In this context, autonomous marine vehicles can play a key role in collecting high quality data in dangerous interface areas. In particular, the contribution given by light, portable, and modular marine robots is discussed in this paper. The state-of-the-art of technology and of operating procedures is established on the basis of the experience gained in campaigns carried out by Italian National Research Council (CNR) robotic researchers in Ny-Alesund, Svalbard Islands, in 2015, 2017, and 2018 respectively. The aim was to demonstrate the capability of an Unmanned Semi-Submersible Vehicle (USSV): (i) To collect water samples in contact with the front of a tidewater glacier; (ii) to work in cooperation with Unmanned Aerial Vehicles (UAV) for sea surface and air column characterisation in the proximity of the fronts of the glaciers; and (iii) to perform, when equipped with suitable tools and instruments, repetitive sampling of water surface as well as profiling the parameters of the water and air column close to the fronts of the tidewater glaciers. The article also reports the issues encountered in navigating in the middle of bergy bits and growlers as well as the problems faced in using some sensors at high latitudes

    Abrasive Grains Micro Geometry: A Comparison between Two Acquisition Methods

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    Abstract One of the aspects that makes difficult grinding processes modelling is the non-deterministic nature of the cutting tool, in particular the abrasive grains of the grinding wheel have a random distribution and an undefined geometry that influences the grinding forces. In order to develop a reliable 3D model of the grinding process the actual microgeometry of abrasive grains must be acquired. This paper compares the results of two different acquisition methods: the geometry acquired via a laser non-contact instrument is confronted with the one acquired using a computer tomography; the accuracy of the grain micro geometry provided by the two approaches is discussed

    Introducing Intelligence and Autonomy into Industrial Robots to Address Operations into Dangerous Area

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    The paper addresses the issue to use new generation robotic systems inside industrial facilities in order to complete operations in dangerous area. The new robotic systems are currently adopting the autonomous approach already in use in military sector; however, in this context the intensity of operations and the necessity to interact with high productivity systems introduce different challenges. Despite the problems, it is evident that this approach could provide very interesting improvements in terms of safety for humans especially in relations to dangerous area. For instance, in confined spaces, Oil & Gas or Hot Metal Industry these new autonomous systems could reduce the number of injures and casualties. In addition, these systems could increase the operation efficiency in this complex frameworks as well as the possibility to carry out inspections systematically; in this sense, this could result in improving the overall reliability, productivity and safety of the whole Industrial Plant. Therefore, it is important to consider that these systems could be used to address also security aspects such as access control, however they could result vulnerable to new threats such as the cyber ones and need to be properly designed in terms of single entities, algorithms, infrastructure and architecture. From this point of view, it is evident that Modeling and Simulation represent the main approach to design properly these new systems. In this paper, the authors present the use of autonomous systems introducing advanced capabilities supported by Artificial Intelligence to deal with complex operations in dangerous industrial frameworks. The proposed examples in oil and gas and hot metal industry confirm the potential of these systems and demonstrate as simulation supports their introduction in terms of engineering, testing, installation, ramp up and training

    Design and construction of a modular pump-jet thruster for autonomous surface vehicle operations in extremely shallow water

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    open5noThis paper describes a customized thruster for Autonomous Surface Vehicles (ASV). The thruster is a Pump-Jet Module (PJM), which has been expressly designed, modeled, constructed, and tested for small-/medium-sized ASVs that perform environmental monitoring in extremely shallow waters such as wetlands (rivers, lakes, swamps, marshes), where water depth is only a few centimeters. The PJM is a fully-electric propulsion unit with a 360-degree continuous steering capability. Its main advantage is that the unit is flush with the flat bottom of the vehicle. This makes the PJM suitable for operation in extremely shallow waters because the risk of damaging the thrusting unit in case of grounding is very limited. The PJM was produced using innovative materials, and the hydraulic components were all constructed using a 3D printer.openOdetti A.; Altosole M.; Bruzzone G.; Caccia M.; Viviani M.Odetti, Angelo; Altosole, M.; Bruzzone, G.; Caccia, M.; Viviani, M

    Nanotechnology in machining processes: recent advances

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    In this brief survey, the use of nanoparticle dispersions in machining processes is discussed and the relevant applicational performances are analysed and related to the structural and chemical composition of the embedded nanophase. The paper is divided in two basic parts. In the former, the metalworking nanofluids are classified with respect to the physico-chemical properties of the nanostructured phase suspended in the base fluid. In the latter, some aspects concerning the production of metalworking nanofluids are analysed and a new green and economically viable technique based on a cementation process for metal nanoparticle synthesis is proposed as an alternative approach to the conventional manufacturing techniques

    LAWs: Latent Demand for Simulation of Lethal Autonomous Weapon Systems

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    This paper provides an overview on the Lethal Autonomous Systems (LAWs) and related critical issues caused by dynamically evolving context. Traditional approaches to evaluate new system development, software review, prototyping and testing are often not really efficient or even not applicable in this LAWs even due to the evolution in terms of social and operational scenarios. Vice versa, it is evident that simulation plays the key role to support evaluation of scenarios considering that is practically the only methodology able to develop and to conduct virtual tests on concepts, general principia, strategic decisions, technology impacts and related implications

    Autonomous systems for operations in critical environments

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    This paper proposes an environment devoted to simulate the use of autonomous systems in the context of space exploratory missions and operations; this research focuses on supporting engineering of autonomous systems and of their innovative artificial intelligences through interoperable simulation. The proposed approach enables also development of training and educational solutions for use of robots and autonomous systems in space critical environments. The paper addresses different application areas including robotic inventory and warehouse solutions, intelligent space guard systems, drones for supporting extravehicular activities and for managing accidents and health emergencies. The paper investigates the potential of autonomous systems as well as their capability to interoperate with other systems and with humans, especially in critical environments. Finally, the paper presents the existing researches for interoperable simulators devoted to address these challenging topics within Simulation Exploratory Experience initiative
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