The project combines IoT technologies, artificial intelligence, and advanced sensors to optimise agricultural management and promote sustainable practices in the sector.

CT announces the successful completion of the ALARAD project, an international initiative aimed at developing a smart farming platform for traceable, high-quality agricultural production. This project has facilitated the implementation of a decision-making support system based on proximal and remote sensing, driving the digital transformation of the agricultural sector and laying the groundwork for more productive, sustainable, and high-quality precision agriculture.

In Spain, the project concluded with the installation of a comprehensive monitoring and decision-making system in the vineyards of Bodegas Bohórquez, located in the Ribera del Duero Designation of Origin in Valladolid province.

Technological innovation at the service of agriculture

ALARAD integrates IoT technologies, artificial intelligence, and precision farming techniques to optimise vineyard management and maximise harvest yield and quality. In the vineyards of Bodegas Bohórquez, three sensor networks have been installed in different locations, providing real-time data accessible via a web application. This system monitors key variables such as the physiological state, vigour, and growth of the crop.

Additionally, CT’s team has developed advanced artificial intelligence models capable of predicting production-related variables such as yield per hectare, fruit pH, and other quality indicators critical for the Ribera del Duero Designation of Origin.

International collaboration with a local impact

The project is the result of international collaboration between South Korea’s Korea Electronics Technology Institute (KETI) and Spanish partners led by CT, within the framework of the Spain-Korea bilateral call. This joint effort enabled the development of two use cases: one in vertical farms in Korea and another in the vineyards of Bodegas Bohórquez in Spain.

On its side, CT led the design of the sensor architecture and data analysis, while its partner, Air Institute, contributed generalisable hardware and software solutions tailored for small-scale producers with limited broadband access.

The project also promotes sustainable vineyard management practices, focusing on traceability and reducing environmental impact, aligning with global agricultural sustainability goals.

Looking ahead: applications and potential

Not only has ALARAD demonstrated its effectiveness in vineyards, but its technology can also be applied to a wide variety of crops. The system gathers extensive data volumes, paving the way for future predictive models and customised optimisations for agricultural operations.

This innovative solution not only boosts crop productivity and quality but also supports data-driven decision-making, mitigates risks, and minimises environmental impact, heralding a new era in precision agriculture.

About ALARAD

The ALARAD Project is an R&D initiative under the bilateral call for the 2021 KRESIP Spain-Korea international programme in Artificial Intelligence, partially funded by the CDTI under reference IDI-20210939.

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The model is designed to increase the productivity of factories that work with constant variability in their production.

The initiative is funded by the TransMisiones program of the Ministry of Science, Innovation and Universities of the Government of Spain.

Mass customization is a strategy that enables companies to tailor their products to specific customer needs while maintaining low costs and high efficiency. However, this approach poses significant challenges to traditional automation strategies, which often require large investments and long payback periods.

In order to overcome these limitations, the ADAPTA project seeks to create a flexible and reconfigurable production model that provides factories with a high capacity for adaptation and resilience to changes in the environment. To this end, the project will seek to improve the perception capabilities of current robotic systems through solutions based on vision and artificial intelligence (AI), integrated sensors and 2D and 3D images.

The initiative will also work on developing handling systems that can adapt to unknown or changing situations with minimal human intervention and that take into account the presence of people and their interaction with them, favoring a collaborative productive environment.

As part of a multidisciplinary consortium led by Tekniker, CT is working along two key lines to address the challenges of mass customization of products in industrial environments. This approach seeks to provide innovative tools that enable factories to adapt quickly to changing market demands, maximizing efficiency and reducing costs.

On the one hand, the company focuses on analyzing the bidirectional relationship between the elements of an industrial factory, with the aim of facilitating an agile reconfiguration of the production process. This effort is part of the model-based system engineering (MBSE) concept, which promotes advanced virtualization of production plants.

In addition, CT experts are developing a digital twin designed to meet the needs of this reconfiguration. This system, conceived as software agnostic, will enable companies to anticipate different production scenarios and to quickly respond to dynamic situations required by customers.

The project, which has just started, is already making significant progress. The initial specifications have been defined in collaboration with the companies in the ADAPTA consortium, and the necessary know-how is being acquired to integrate the different software that will make up the virtualization of the factories. Although ADAPTA is expected to be developed over the next two years, CT is working on a tighter schedule to deliver the virtual foundations that will underpin the following consortium developments.

Validation in a real environment

The methodology proposed by the ADAPTA project includes the validation of the results obtained in an industrial scenario. These results will be provided by the company Schréder, project partner, in its luminaire assembly plant located in the province of Guadalajara, where the multinational group concentrates approximately 50% of its worldwide production.

Specifically, three representative use cases of handling, assembly and logistics operations will be tested in multiple production scenarios: the loading and unloading of product on a painting line, the collaborative assembly line and the autonomous loading of pallets of finished product onto trucks.

About ADAPTA

Funded by the TransMisiones program of the Ministry of Science, Innovation and Universities of the Government of Spain, the ADAPTA project has a consortium coordinated by Tekniker and integrated by Smarttech, CT Ingenieros de Catalunya Aeronáuticos, de Automoción e Industriales, Automatización de Sistemas y Aplicaciones Industriales (ASAI), División Industrial Artisteril, Bcnvision, Schréder Socelec, Eurecat and Universidad Carlos III de Madrid.

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CT is focused on developing AI-based solutions to redefine design and manufacturing engineering cycles in the aerospace industry.

The TIFON project (Intelligent Technologies for Manufacturing, Design and Operations in Industrial Environments) aims to explore and apply artificial intelligence technologies to optimize processes in the aeronautical industry, improving its sustainability, efficiency and responsiveness to future challenges.

A new paradigm for the aeronautical industry

TIFON focuses on identifying and solving the difficulties of applying AI technologies and their scalability to industrial processes (design and manufacturing) by executing pilots and proof-of-concepts. To this end, the companies in the consortium are addressing key areas of innovation, such as the automation of quality processes, the application of large language models (LLM) for knowledge management, and advanced techniques such as reinforcement learning and variational autoencoders (VAEs). These tools will not only make it possible to foresee defects and optimize processes, but also to foster collaboration between humans and machines, speeding up design and manufacturing cycles.

CT drives digital transformation and sustainability in the aerospace industry

Under this project, CT is focused on developing AI-based solutions to redefine design and manufacturing engineering cycles in the aeronautics industry. Its efforts include the application of machine vision to improve quality, the development of surrogate models and disruptive geometries for zero-emission aircraft, and advanced structural optimization techniques.

• Advanced structural dimensions: Use of neural networks for sizing structural elements, integrating them into the overall design of zero-emission aircraft.
• Inspection in hard-to-reach areas: Innovative methods to detect FOD (foreign object debris/damage) and evaluate large internal and external surfaces of aircraft.
• Thermal optimization through AI: Design of disruptive geometries for heat exchangers, optimized through generative modeling and additive manufacturing.
• Multidisciplinary structural optimization: Development of coherent and sustainable models that integrate structural and aerodynamic aspects to minimize overall aircraft weight.
• Advanced mechanical properties prediction: AI-based methodologies to predict mechanical properties of composite materials by designing unconventional stacking sequences and manufacturing parameters. These models will allow customizing materials and feeding optimal structural simulations.
• Predictive fatigue and crack assessment: surrogate models for predicting fatigue crack nucleation and propagation with random geometries and loads, integrating damage tolerance data into neural network methodologies.

CT is also investigating new AI-based strategies for predicting mechanical properties in composite materials, damage tolerance assessments, and generative design methodologies to explore more efficient and disruptive structural configurations.

A collaborative effort

The TIFON project is led by Airbus Defence & Space within the CDTI cluster, in collaboration with Navantia, 4I Intelligent Insights, Bertrandt and CT. In addition, the AEI cluster, coordinated by the Universidad Politécnica de Madrid (UPM), includes the participation of AIMEN, BSC, INTA, UAH, UC3M and US, consolidating a multidisciplinary research and development ecosystem.

Support and development framework

TIFON is an initiative funded by the CDTI under the file MIG-20232039, within the 2023 “Science and Innovation Missions” grants, in the framework of the State Program for Scientific, Technical and Innovation Research 2021-2023. Its execution is scheduled between 2024 and 2026, positioning itself as a strategic project to catalyze digital transformation and sustainability in the aeronautical industry.

With TIFON, CT reaffirms its commitment to innovation and technological leadership, actively contributing to the evolution towards a more efficient, sustainable and competitive industry.

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CT will be responsible for developing the SCADA system for four of the seven photovoltaic plants that will make up the farm, with a total of 200 MW. The SCADA project developed by CT includes all essential elements for the operation and monitoring of the solar farm. From the solar panel inverters to the control units that centralise the data, including communication systems, all the necessary data to manage the plant is concentrated on a single server. “We receive all the data on our server and display it in a PCVue SCADA application, where the operator has all the information needed to efficiently maintain and operate the plant”, explains Francisco Javier González, SCADA and Telecontrol Project Manager at CT.

A key system for plant efficiency and control

The SCADA system is essential for the operability of any power generation plant. In this case, it allows the management of signals from all the plant’s inverters, ensuring efficient control of production. The system provides the operator with access to alarms, setpoints, production logs, and reports that allow the optimisation of all processes and compliance with the strict requirements of the grid operator, in this case, Red Eléctrica de España (REE).

“Energy cannot be fed into the grid without a SCADA system that follows the grid operator’s commands, as it could overload it. Our system ensures that the plant operates within the established parameters, as well as enabling predictive calculations and automatic regulation of the inverters through the Power Plant Controller (PPC)”, explains Francisco Javier González.

Technical collaboration with the Leadernet Group

CT is not alone in this ambitious project. The company has the support of the Leadernet Group, which is responsible for all the communications infrastructure and civil works necessary for the proper functioning of the system. “We have been collaborating with Leadernet for several years in the development of photovoltaic plants. They are responsible for the installation of control units, control cabinets, and distribution panels, as well as fibre optic channels and weather station towers”, adds Javier.

Technical challenges and quality assurance

The development of the SCADA for Renopool posed a technical challenge, especially due to the integration of new inverters and solar trackers, which required specific coding for the signal map. However, thanks to CT’s extensive experience in this type of project, the challenges were effectively overcome. The contract also includes a warranty period to ensure the correct functioning of the system after commissioning, providing support in the first months of operation.

The Renopool solar farm, which will come into operation in the coming months, will be a key project in the renewable energy sector in Spain, and the SCADA system developed by CT will play a crucial role in optimising its performance and efficiently integrating its energy into the national grid.

CT continues to demonstrate its leadership and commitment to innovation in the energy sector, collaborating on projects that drive the country’s sustainable future.

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The final demonstration of the system was conducted by printing sensors and tracks on parts and components selected by CT and AXTER, respectively.

CT, the leading engineering company in technological innovation throughout the product lifecycle, has successfully concluded the 3DELECPRINT R&D project, which aimed to develop a flexible integrated robotic platform for printing electronic sensors and/or wiring on complex rigid 3D geometries. The resulting pieces are made of various materials such as metal, composite, or ceramic, among others.

During the project, a printing system based on an ultrasonic spray nozzle head was used, a versatile technique that allows the use of a wide range of inks, perfect adaptability to the substrate’s geometry, and efficient use of resources, as it works with very low flow rates.

This initiative marks a milestone in 3D printing by achieving the following technical objectives:

• Select and mature a spray nozzle system for the target application capable of printing sensors and electrical tracks with precision equivalent to that obtained with dedicated machines.
• Define the types of inks to be used, for example, for printing temperature sensors, to suit the printing technology.
• Conduct relevant ink tests against some demonstration substrates to determine the surface engineering necessary to improve ink adhesion to the substrate (e.g., the application of atmospheric plasma).
• Define and select the sensors to be incorporated into the robot’s arm that will maintain the robot’s position and trajectory according to the electronic design (whether sensors or electrical tracks).
• Define the curing strategy for the printed inks on the substrates to keep the process fully automated.
• Define and implement the integration of the various system components, particularly: Mechanical and functional integration of the nozzle subsystem to the robot subsystem, mechanical and functional integration of position and trajectory sensors in the robotic system, mechanical and functional integration of ultraviolet curing to the robot system.
• Program advanced robot and nozzle control algorithms for the required electronic printing target (width, spacing, track thickness, etc.)
• Test and adjust the integrated platform using a defined protocol.

About 3DELEPRINT

The project (RTC-2016-5569-7) has been funded by the MINISTRY OF ECONOMY, INDUSTRY AND COMPETITIVENESS and the European Union, within the framework of the Retos-Colaboración call of the State Research, Development and Innovation Program Oriented to the Challenges of Society, as part of the State Plan for Scientific, Technical, and Innovation Research 2013-2016, with the main goal of promoting technological development, innovation, and quality research.

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The main goal of the CETACEO project is the development and implementation of advanced knowledge and techniques for the design and manufacture of net-zero emissions aircraft. Specific objectives include:

• Developing new methods based on Artificial Intelligence techniques for the automation of design and optimisation of aerostructures.
• Advancements in thermoplastic materials and their manufacturing processes to enable cleaner propulsion systems.
• Research into new aerostructures to significantly reduce aircraft weight through topological optimisation and additive manufacturing.
• Developing heat exchanger systems based on additive manufacturing models and optimising system performance using CFD (Computational Fluid Dynamics).

Innovation in efficiency and sustainability

The CETACEO project focuses on the aerodynamic and structural optimisation of aircraft. This initiative will not only improve the efficiency of air operations but also minimise their environmental impact. By utilising artificial intelligence and integrating new materials and manufacturing processes, such as 3D printing, CT and its partners are setting a new standard in aircraft manufacturing.

Strategic partnership

Airbus Defence & Space leads the CETACEO project, with CT as one of the main collaborators. Alongside them, companies such as CESA, AERTEC, FAGOR, and KEROX are part of this consortium, working together to overcome the technological challenges associated with the transition to net-zero emissions aircraft. This project not only underscores CT’s commitment to innovation and sustainability but also demonstrates the potential of cross-sector collaboration to achieve significant advances in aeronautical technology.

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The system, designed from both a functional and structural perspective, primarily aims to achieve aviation with zero carbon emissions in the short term, directly addressing the urgent need for environmental sustainability in the sector. The consortium will also focus its efforts on analyzing continuous mixed combustion and studying all elements of the propulsion system, using cryo-compressed hydrogen and liquid ammonia.

In addition, work is underway on the development of a functional model that includes fuel fluid tanks and their connections, which will allow the proposed solutions to be implemented and validated directly in an aircraft. This comprehensive approach will facilitate the exploration of creative and innovative options, reinforcing CT’s leadership in advancing towards a greener and more sustainable aeronautical industry.

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Unified tank calculations

The primary goal of this collaboration was to recalculate the designs of Tankeros’ entire tank portfolio. By using the latest engineering standards, specifically Eurocode, CT aimed to standardize calculation methodologies across all models. This approach not only ensured compliance with current regulations but also optimized material usage to enhance cost-efficiency.

CT employed Finite Element (FE) models for specific requirements, challenging the conservative boundaries of traditional analytical methods. This innovative approach allowed for more precise and efficient designs, reducing material excess while maintaining structural integrity.

Developing an automated reporting tool

The second phase of the project focused on improving the after-sales service through the development of an automated reporting tool. This tool is able to generate detailed calculation reports for each tank model instantly. This capability significantly streamlines the documentation process, enabling Tankeros to offer their clients the best possible quality-price ratio.

Client benefits and long-term impact

The collaboration with Tankeros has brought substantial benefits:

• Regulatory and material adaptability: The new calculation tool enables Tankeros to swiftly adjust to changes in material qualities or regulatory requirements, ensuring continuous compliance and operational flexibility.
• Cost efficiency: Optimized material utilization results in cost savings, which Tankeros can pass on to their clients, thereby improving their market competitiveness.
• Enhanced after-sales service: The automated report tool elevates the quality of after-sales service Tankeros offers.

This partnership demonstrates how strategic collaborations and technological advancements can address industry challenges, leading to improved efficiency, compliance, and client satisfaction. As Tankeros continues to innovate and expand, CT remains a trusted partner, dedicated to supporting their growth and success in the evolving landscape of industrial engineering.

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The H2TECH4SHIP project is being conducted under the auspices of Navantia’s lead project, INNCODIS, as part of PERTE Naval, and has received funding of more than 1.3 million euros for the development of innovative technologies in maritime transport.

The “H2TECH4SHIP” project, focused on researching the requirements and equipment necessary for hydrogen-driven propulsion, has been selected for funding by PERTE Naval, as part of the framework of NAVANTIA’s lead project “INNCODIS: development of an innovative industrial ecosystem for a competitive, diversified, and sustainable naval sector”, with an allocation amounting to over 1.3 million euros.

Shipping is a key sector for global transport, as more than 90% of the world’s trade is carried by sea. There is no single solution to the challenges posed by the decarbonisation of maritime transport, but the role of hydrogen will be essential both alone (as a fuel in itself) and as part of the new generation of synthetic fuels.

This project includes research into all the systems and technological elements necessary for the design of a tugboat type vessel propelled by green hydrogen, a zero-emissions ship for which CT will develop the conceptual design, naval architecture calculations, and basic engineering, as well as analysing safety requirements. These are highly demanding tasks with a significant research component, given the absence of applicable regulations, except for guidelines and initial publications from Classification Societies that are beginning to emerge.

CT is increasingly involved in projects related to the decarbonisation process of maritime transport, with the aim of reducing greenhouse gas emissions. The company, committed to sustainability and environmental protection, is facing new challenges in shipbuilding, both in terms of design and onboard equipment, to ensure that it remains at the forefront of the industry.

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• Product
• Manufacturing and assembly systems
• Digitalization and design tools
• Advanced exploration of “Zero Emissions” configurations and associated technologies.

Over its two-year duration, the ONEiRE project primarily investigated the entire rear part of the aircraft, including the pressure bulkhead, the entire rear fuselage and the tail stabilizers. The project also encompassed the study and definition of the wing-fuselage fairing.

Led by Airbus Operations, the consortium included CT, Tecnilógica Ecosystems, D3 APPLIED TECH, Empresarios Agrupados Internacional, and AERTEC. Together, they have successfully forged new design capabilities that will benefit the next generation of aircraft. The teams also crafted tools that ensure proper design from the aircraft sizing phase, enabling quick iteration of various configurations.

Moreover, CT has achieved significant advances in creating surrogate models, which approximate the relationship between design variables and their outcomes with a limited number of complete analyses. These models streamline the design process, avoiding costly computer analyses and enhancing multi-objective optimization efforts.

CT has explored the design space through three practical use cases: developing a multi-spar torsion box for aircraft lift elements using AI techniques; eliminating mechanical joints; carbonizing metal fittings using detailed FEM for virtual testing; and the ultra-compaction of mechanical elements, such as optimizing and manufacturing a heat exchanger through metal additive processes to reduce weight.

CT played a pivotal role in developing methodologies and tools for the early design phases of these aircraft. For this purpose, automatic optimization tools for aerostructures using AI-based calculation processes (surrogate models) and automations of finite element models and CATIA geometry, development of methodology to create virtual tests through detailed FEM models and methods to reduce equipment, specifically heat exchangers, optimized and manufactured through additive manufacturing.

About ONEiRE

This project received funding from the CDTI under the file number PTAG-20211008, as part of the 2021 call for proposals under the Strategic Sectoral Innovation Initiatives (“Aeronautical Technology Program”). This is within the broader Recovery, Transformation, and Resilience Plan, funded by Next Generation EU funds, including the Recovery and Resilience Facility, and is part of the State Program for Business Leadership in R&D&I, within the State Plan for Scientific, Technical, and Innovation Research 2017-2020.

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Using river currents to intercept waste before it reaches the sea offers an efficient solution to marine pollution, since it significantly reduces collection efforts. However, despite various technological explorations, a comprehensive commercial solution has yet to emerge.

The CleanCoastLine NGO has decided to confront this problem and has entrusted the mission of finding a technical solution to CT. As part of its commitment to sustainable development, CT started working on the design and development of a system to contain and capture debris in rivers, as well as other channels and marine environments.

This initiative has been named REPERA(Retrieving Plastic Ebb from Rivers Autonomously) and its main goal is to design and develop an experimental concept model of an autonomous system that efficiently recovers river waste by using physical barriers and air bubbles to detect, redirect and collect waste floating in the water before it reaches the ocean. This groundbreaking solution stands out for being:

• a system using a passive floating barrier that allows river traffic while retaining and redirecting plastics with an air bubble barrier;
• autonomous, leveraging artificial intelligence, machine learning, and deep learning technologies for remote control and predictive operations;
• highly efficient, powered by sustainable energy sources, and adept at detecting, collecting, and redirecting waste materials;
• scalable, this concept model would be the basis for future versions of the system;
• versatile, as the system can act as an air bubble column or physical barrier, or both, depending on the type of location where it is placed, such as inland waterways and estuaries, coastal maritime areas, etc.

The REPERA project is studying the needs and behavior of a complete system that encompasses everything from generating green energy to create the bubble curtain, to collecting and extracting the waste (which can include not only plastics but also certain types of oily waste), as well as the sensorization of equipment and the creation of a virtual model of the system.

The disruptive nature of the project lies in developing a solution that can predict various problems and facilitate decision-making based on artificial intelligence algorithms that read and analyze data obtained from sensors installed in the system’s components.

Furthermore, given that air, water and solid structures are involved, CT experts have used CFD (Computational Fluid Dynamics) strategies for numerical analysis/calculation and experimental testing, in order to replicate and analyze the multiphase fluid-structure interactions between the system and the environment in which it will operate.

The development of such a solution could revolutionize waste management and protect marine environments from the onslaught of pollution, demonstrating a promising avenue for environmental conservation and sustainable practices.

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ImaginA project is designed to tackle two critical challenges in the industrial sector: identifying solder defects in Printed Circuit Boards (PCBs) and detecting corrosion in aluminium specimens. Developed in partnership with Solar MEMS Technologies and Titania, the project showcases the potential to significantly streamline and enhance the accuracy of current manual inspection processes.

CT holds the responsibility for the comprehensive software development segment within the project, primarily encompassing all tasks associated with AI model training. Following this, CT experts will create a system that can process the outcomes generated by the model, providing users with a final report and an image that displays the results in the required format. Additionally, the team has meticulously outlined the specific requirements and identified the technologies for a future user interface, which is scheduled for development in the second phase of the project (2024-2025).

Solar MEMS Technologies, a pioneering engineering firm specializing in microsystems technology for high-tech applications, including the space sector, will benefit from ImaginA’s AI-driven approach to easily identify soldering faults in PCB components through simple photographic analysis. This innovation promises to replace time-consuming manual inspections with a more efficient and reliable automated system.

Similarly, Titania, a technology-based SME with roots in the University of Cadiz, engaged in quality control, R&D of materials, and industrial processes, particularly in the aerospace sector, will utilize the AI model to conduct image-based analyses for quantifying bond line corrosion (BLC) in aluminum specimens. This approach is poised to enhance the accuracy and speed of corrosion detection, a critical aspect in maintaining the integrity and performance of aerospace components.

The collaboration between CT, Solar MEMS Technologies and Titania underlines a collective commitment to achieving the highest standards in manufacturing and quality control. By minimizing the need for manual corrections and leveraging AI for detailed image analysis, ImaginA aims to significantly reduce production costs while maintaining, if not improving, the quality of parts produced for the aerospace and other high-tech industries.

ImaginA project is spearheaded by Andalucía Aerospace, a private association acting as a cluster to represent and boost the aerospace companies in Andalusia on both national and international stages. This project is not just a testament to the innovative spirit of the participating companies but also a crucial step towards the digital transformation of the Spanish aerospace industry, aiming to position it as a global leader.

By integrating AI and computer vision into industrial processes, ImaginA is not only enhancing the efficiency and reliability of current methodologies but is also paving the way for future applications across various sectors. This initiative reflects a significant leap forward in the digital transformation journey, promising to redefine the landscape of industrial manufacturing and quality assurance with cutting-edge technology.

ImaginA is an R&D project, funded through the AEI 2023 Call by the Ministerio de Industria y Turismo. Its consortium comprises CT, Titania, Solar MEMS, and is led by Andalucía Aerospace.

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