Portfolio

Valorisation, dissemination and awareness about the concept of fracture toughness, as well as its extension to other applications in the steel sector and to other industries working with Advanced High-Strength Steels (AHSS). The ToughSteel project involves and engages the main stakeholders around the steel sector with the objective to promote, disseminate and transfer the know-how acquired in previous projects about the use of fracture toughness as a tool to address cracking problems in forming and in-service performance of AHSS. The main objectives of the project are: Collect, organize and analyse the fracture toughness data measurements (from previous [...]

Development of an innovative method of predictive maintenance in smart lighting which reacts to certain events. The PREDALIN project designs and develops a new disruptive software with the objective of improving decision-making and incorporating the concepts of Predictive Maintenance and Optimisation of Tasks in street lighting systems, as well as implementation at a “pilot” scale. The implementation of advanced systems for the detection of anomalies, predictive maintenance and optimization of resources constitutes a capable tool to minimize the associated costs and the Loss of resources (material, human and energy) derived from problems, or bad decisions, in [...]

Development of an alternative source of Critical Raw Materials (CRM) on Aluminium Alloys for electrical vehicles. The SALEMA project, coordinated by Eurecat, proposes a circular economy model using scrap metal as an alternative source of CRM and the substitution of them for commonly available alloying elements. The project is addressing in a coordinated and cooperative manner the key challenges in the different levels of the value chain: Improving scrap classification and sorting systems to turn scrap into a valuable raw material Demonstrating the feasibility to substitute CRMs in alloying systems Developing recycled aluminium alloys with improved [...]

Innovative generation traffic management for empowering CAVs integration, cross-stakeholders collaboration and proactive multi-modal network optimisation. The FRONTIER project, coordinated by Eurecat, aims to provide the network and integrated traffic management strategies of the future, considering new types and modes of transport and automated vehicles (including logical and physical requirements), the minimisation of pollution and capacity bottlenecks (including congestion and traffic jams), the reduction of accidents, and the need to reduce the cost of mobility for all users (both citizens, public authorities and businesses). On the operational level FRONTIER facilitates the transition towards resilient multimodal autonomous mobility [...]

Development of a network of labs in the territory (OpenLab) with the aim of converting them into a matrix which leads the transformation towards a sustainable research and innovation ecosystem. The Territorial Specialization and Competitiveness (PECT) project "HubB30, beyond circularity" is a pilot experience focused on Zero waste, which should allow design the methodology, the optimal structure and the Spaces to implement a new interaction model between the different actors of the Quadruple Helix (universities and research centers; administration; companies; citizenship) and the open innovation processes. The overall strategy of the project is based mainly on [...]

Development of innovative solutions in the application of materials for the construction and maintenance of the road network and its signaling, to improve road safety, the sustainability of the territory and promote new opportunities for economic activity. The project is led by the Diputació de Tarragona and counts with the participation of the Rovira i Virgili University (URV) and Eurecat, and it is co-financed by the Generalitat de Catalunya within the framework of the 2014-2020 FEDER Operational Program of Catalonia, investment objective in growth and employment, and the Provincial Council of Tarragona. The Specialization and Competitiveness Project [...]

Development of innovative AI-based solutions with the objective to optimise hospital processes and to improve the quality of patient care. The AICCELERATE project develops a cloud-based tool and combines Artificial Intelligence and autonomous robotics with the aim of promoting a state-of-the-art hospital model that incorporates new services and processes to intensive care units, surgical rooms and rooms, ranging from functions related to the logistics and transportation of medicines to disinfection, among others. Nowadays, most Artificial Intelligence (AI) solutions applied to the health sector are limited to isolated applications. For this reason, scalable models that address data [...]

Development of benign cascade extractive biorefinery for converting agri-food side streams into high-value polyphenolic bioactives and functional fibres for pharma, cosmeceuticals, nutraceuticals and food products. The PHENOLEXA product has the objective to unlock the potential of polyphenols-rich agri-side streams (olive, grape shoots and leaves, chicory, and onion residues) to procure bioactive compounds of high value via the development of cascade smart biorefinery which combines pretreatment of the biomass with benign environmentally friendly green solvents extraction technology. According to Eurostat, the agricultural sector is the biggest producer of the residual biomass in Europe, generating annually approximately 400 [...]

The Territorial Competitiveness Specialization Project Mataró-Maresme (PECT in its acronym in Spanish) is the materialization of the multiple strategies promoted, both at the municipal and regional levels, to implement the transformation of the territory through the construction of a model of smart, sustainable and economic growth. integrator. The PECT Mataró-Maresme “Ecosystem of innovation for caregiving cities”, has the objective of developing and implementing in the territory new models and innovative solutions focused on the accompaniment of active aging and the care of people in situations of fragility or dependence. To achieve this, it carries out processes [...]

Innovative neuroscience and Artificial Intelligence technologies applied to the design of new food products. The CIEN CONOCE project applies disruptive technologies in the field of neuroscience and Artificial Intelligence, with the aim of deepening the consumer’s knowledge and perception of multisensory stimuli, developing innovative food products adapted to their needs and preferences. The solution promoted by the project allows to better understand the consumer, their needs and their responses to a new product in different consumption contexts and, on the other hand, to analyse how these responses can be parameterised to include them systematically in a [...]

Improved bio-inocula and living mulching technologies for integrated management of horticultural crops. Nowadays, the use of bioinocula in commercial agriculture sector is hindered by several factors, among them insufficient knowledge of microbial ecology and formulation efficiency, as well as less farmers awareness of application technology and requirements under different cropping systems. The project BioHortiTech has the objective to improve the knowledge on ecological dynamics of bioinocula for plant protection and nutrition, in both integrated and organic farming systems with living mulching under contrasting environmental and climatic conditions. Within the project, which counts with the participation of [...]

Support for the recommendations of the São Paulo authorities to promote the design and implementation of a mobility system and integrate it with other modes of transport, promoting the concept of mobility as a service (MaaS). The project "Support for the SPTrans Operations and Control Center (COP)" collaborates with the authorities of Sao Paulo with the aim of promoting the conception of a georeferenced information system for mobility and its subsequent integration with other systems, both existing and future. On the other hand, the project identifies the components to be considered in a future planning system [...]

High-performance steels addressed to electric mobility sector obtained through the use of recycled material. Currently, the European industry and mobility is facing a two-pronged challenge: the need of obtaining materials with increasing performance and cost competitiveness, while at the same time, reducing their ecological footprint and foreign dependency. Affordable and indefinitely recyclable, high performance steel is an attractive solution to this conundrum. The ReMove project aims to obtain two advanced materials needed for electric mobility sector through material recycling routes: Boron steel for press hardening, a high-performance structural material which has become the current standard in [...]

Design and development of a new generation of circular knitting machines with total and predictive quality control. The PRECATEX project implements an innovative total and predictive quality control system with the objective to allow the productivity of quality textiles and minimises defective production. This new system is achieved by using new techniques not currently implemented in the sector, such as new generation sensors and the integration of Predictive Quality Models. Eurecat, which participates in the project through its Applied Artificial Intelligence Unit, the New Manufacturing Processes Unit and the Functional Textiles Unit, is responsible for the [...]

Aerial Robotic training for the next generation of European infrastructure and asset maintenance technologies. Currently, industrial sectors such as energy, transport, oil and gas, and chemical industries spend considerable amounts of resources to ensure their assets’ operational integrity. For that reason, alternative approaches for inspection and maintenance are urgently needed both to cut costs and reduce accidents associated to operation and maintenance. The AERO-TRAIN project is working to solve this problem throughout the development and validation of novel aerial robotic technologies and particularly, new approaches focused to improve the robustness of aerial manipulators under conditions that [...]