
HKTM
3 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:POLITO, HKTM, IZTECH, MCI, RWTHPOLITO,HKTM,IZTECH,MCI,RWTHFunder: European Commission Project Code: 101160215Funder Contribution: 1,248,580 EURWhen prototyping or producing a machine or its parts, several methods of manufacturing are used, such as machining, additive manufacturing, laser cutting or welding. These manufactured parts are investigated for their manufacturing tolerances upon production via quality control systems, such as a coordinate measurement machine. However, at the current state of the art, one production machine can only perform its one designated process. Additionally, these machines are generally large and bulky computer numerical control systems. As a result, these manufacturing machines are heavy and non-portable products with high investment costs. For these reasons, small investors or start-ups cannot invest in these machines, or very few of them can invest in only one type of manufacturing machine. The aim of this project is to develop a lightweight, portable and low-cost manufacturing cell that can perform precise manufacturing and quality control. This challenge can only be solved by the collaborative work of interdisciplinary partners. Inspired by this action, Izmir Institute of Technology (IZTECH) has been firmly committed to developing and promoting enabling technologies for robotic and manufacturing systems. However, IZTECH could not fully exploit its technological and innovation potential in this field due to limited resources in research and project management. There is a clear need for concrete partnership between IZTECH and internationally leading counterparts to bring this potential into play, and thus to spread scientific excellence in robotics and manufacturing systems over the European Research Area and industry. In this way, Türkiye's excellence capacity and resources can be improved, and the research and innovation gap between Türkiye and the European Union can be closed in this specific area. As a consequence of this project, IZTECH's reputation and capacity to carry out advanced research are expected to grow due to this collaboration.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2025 - 2028Partners:AU, Avesta, MANIFATTURA AUTOMOBILI TORINO SRL, IZTECH, UPC +5 partnersAU,Avesta,MANIFATTURA AUTOMOBILI TORINO SRL,IZTECH,UPC,INOVA+,Technical University of Sofia,AIMEN,HKTM,VITESCO TECHNOLOGIES FRANCEFunder: European Commission Project Code: 101193026Overall Budget: 4,999,980 EURFunder Contribution: 4,999,980 EURS4MILE project aims to support the large-scale introduction of electric vehicles by simplifying the vehicle structure and integrating the next-generation solid-state cells into the vehicle structure based on a disruptive and innovative ‘virtual’ module-to-chassis concept (VM2C) based on large structural ALU casting and composite unibodies. The size of the permanently installed battery is reduced using a novel swappable module design to increase the gravimetric and volumetric energy density of the unit in a safe and robust design. The solid-state technology, coupled with advanced thermal and pressure management systems, enables fast charging and long-range based on a reconfigurable battery management system (BMS), which facilitates maintainability, reparability and second life and ensures modularity and scalability of the design applicable to a range of small to medium size vehicles through a safe and efficient communication and operation with the vehicle controller. Advanced battery models based on a battery passport coupled with a thermal management system in a digital twin of the battery will ensure optimal operation and life and range extension while ensuring safety in all operating conditions. S4MILE builds upon large experience and prior projects to meet outstanding results capable of boosting the EU landscape in EVs and related sectors.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:UPM, LETI, Hempel A/S, Aristotle University of Thessaloniki, RWTH +11 partnersUPM,LETI,Hempel A/S,Aristotle University of Thessaloniki,RWTH,SINTEF AS,LUT,HKTM,CLIIN APS,NTNU,LEVIATHAN GMBH,DA,LITEHAUZ APS,NGO Shipbreaking Platform,AVSAR GEMI SOKUM SANAYI VE DIS TICARET LIMITED SIRKETI,University of PaderbornFunder: European Commission Project Code: 101136056Overall Budget: 9,723,810 EURFunder Contribution: 7,954,760 EURShip recycling refers to the disassembly of a ship in recycling facilities, as well as the storage and processing of these materials to reuse them. The ship recycling industry enables the reuse of raw materials for industrial purposes, and thus is fully in line with the European Circular Economy Action Plan and Green Deal objectives. Yet, in addition to work-related diseases due to toxic substances, unacceptably high levels of fatalities and injuries at current shipbreaking yards makes ship recycling one of the most dangerous occupations in the world (ILO 2015). Besides, due to the lack of proper waste management, toxic waste from shipbreaking contaminates the coastal areas and exposes the workers to hazardous substances. Although international regulations exist to reduce and prevent the adverse effects of ships on human health and the environment (IMO 2009; UNEP 2011; Regulation EU No 1257/2013), improving the safety and health of workers and stopping the detrimental impact on the environment still remain major challenges of the sector. The main objective of SHEREC is to enable the involvement and adoption of innovative robotics, data and AI systems into the ship recycling industry to significantly improve the occupational health and safety conditions in this industry and to prevent contamination of hazardous materials both at occupational and environmental levels. Specifically, SHEREC will (1) semi-automate the preparation process in ship recycling using an AI-powered drone inspecting the interior of the ship to locate hazardous materials on the ship, (2) create an automated ship recycling plan using a digital twin of the ship and AI-based planning methods, and (3) automate the cutting and paint removal processes in ship recycling process using two innovative mobile robotic systems that can work autonomously or via tele-operation.
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