Browsing by Keyword "General Engineering"
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Item 3D numerical simulation of slope-flexible system interaction using a mixed FEM-SPH model(2021) Jimenez Fernandez, Jose Carlos; Castanon-Jano, Laura; Gaute Alonso, Alvaro; Blanco-Fernandez, Elena; Gonzalez Fernandez, Juan Carlos; Centeno Gonzalez, Victor; Castro-Fresno, Daniel; Garcia-Sanchez, David; Tecnalia Research & Innovation; E&I SEGURAS Y RESILIENTESFlexible membranes are light structures anchored to the ground that protect infrastructures or dwellings from rock or soil sliding. One alternative to design these structures is by using numerical simulations. However, very few models were found until date and most of them are in 2D and do not include all their components. This paper presents the development of a numerical model combining Finite Element Modelling (FEM) with Smooth Particle Hydrodynamics (SPH) formulation. Both cylindrical and spherical failure of the slope were simulated. One reference geometry of the slope was designed and a total of 21 slip circles were calculated considering different soil parameters, phreatic level position and drainage solutions. Four case studies were extracted from these scenarios and simulated using different dimensions of the components of the system. As a validation model, an experimental test that imitates the soil detachment and its retention by the steel membrane was successfully reproduced.Item Adhesion Enhancement on a Duplex DLC HiPIMS Positive Pulse Coating Performed by Active Screen Plasma Nitriding Pretreatment on 316L Stainless Steel Substrate(2022-11) Gómez, Iñigo; García, Jose Antonio; Santiago, Jose Antonio; Fernandez, Iván; Jose Fernandez, Palacio; Braceras, Iñigo; INGENIERÍA DE SUPERFICIESDiamond-like carbon (DLC) coatings have been the object of research interest due to properties such as excellent wear resistance, low coefficient of friction, high hardness, high elastic modulus, and biocompatibility. Despite this, DLC has poor adhesion properties, which makes it challenging to use in industrial applications. The application of DLC using the high-power pulse magnetron sputtering (HiPIMS) technique with positive pulses has been studied. Seeking greater DLC coating adherence, the application of a nitriding pretreatment prior to the DLC coating has been studied to improve its adhesion to AISI316L stainless steel soft metal substrates, employing active screen plasma nitriding (ASPN). The influence of the different pretreatment temperatures to reach the maximum levels of adhesion has been analyzed. Scratch methods have been employed to assess adhesion. The elemental composition, morphology, and roughness of the samples have been studied, as well as the behavior of resistance to wear and friction. The results show an improvement in DCL adhesion. Critical loads (LC3) increase at higher pretreatment temperatures, from 48 N for the DLC to 82 N for the ASPN + DLC. Pretreatment has also been shown to be effective in maintaining excellent dry wear resistance properties and a low coefficient of friction.Item Adjustment of a High Pressure Die Casting Simulation Model against Experimental Data(2015-12-25) Anglada, Eva; Meléndez, Antton; Vicario, Iban; Arratibel, Ernesto; Aguillo, Idoia; CIRMETAL; Tecnalia Research & Innovation; PROMETALIn addition to the typical difficulties associated with the numerical simulation of metal casting processes, the special characteristics of the high pressure die casting (HPDC) increase the difficulty of obtaining reliable results. The process followed to define and adjust one HPDC simulation model against experimental measurements by means of inverse modelling, is presented together with information related with the test campaign. This knowledge may be of interest for other researchers interested in the HPDC simulation and/or in the simulation models adjustment. The case of study corresponds to the specific case of one variation of the alloy AlSi9Cu3 (in-house developed) and one variation of the H13 steel (in-house developed), used for the mold manufacturing. The simulation models include the mold thermal evolution during the consecutive cycles of the manufacturing process, together with the cavity filling and the later cooling of the alloy.Item Adjustment of Numerical Simulation Model to the Investment Casting Process(2013-09) Anglada, Eva; Meléndez, Antton; Maestro, Laura; Domínguez, Ignacio; Domiguez, I.; CIRMETAL; Tecnalia Research & InnovationThis paper presents the adjustment process of a simulation model to improve the correlation between simulation results and parts industrially manufactured. It includes the data registration at foundry plant, the preliminary set-up of the model and the later adjustment process to reach a correlation level according to the industrial necessities. The adjustment has been performed by means of inverse modelling. This technique uses thermal histories experimentally registered as base, and modifies the material properties and boundary conditions used in simulation until reaching a good correlation between numerical simulated cooling curves and they registered experimentally. The adjustment has been also focused on the shrinkage defects. The simulation model is a FEM model developed in commercial software specifically focused on metal casting simulation. The case of study is an investment casting process, vacuum poured, of a nickel base superalloy designated Hastelloy X. Usual in the manufacture of components for aeronautical turbines.Item Analysis of Field Data to Describe the Effect of Context (Acoustic and Non-Acoustic Factors) on Urban Soundscapes(2017) Herranz-Pascual, Karmele; García, Igone; Diez, Itxasne; Santander, Alvaro; Aspuru, Itziar; Tecnalia Research & Innovation; CALIDAD Y CONFORT AMBIENTAL; ADAPTACIÓN AL CAMBIO CLIMÁTICOThe need to improve acoustic environments in our cities has led to increased interest in correcting or minimising noise pollution in urban environments, something that has been associated with the resurgence of the soundscape approach. This line of research highlights the importance of context in the perception of acoustic environments. Despite this, few studies consider together a wide number of variables relating to the context, and analyse the relative importance of each. The purpose of this paper is therefore to identify the acoustic and non-acoustic characteristics of a place (context) that influence an individual’s perception of the sound environment and the relative importance of these factors in soundscape. The aim is to continue advancing in the definition of an acoustic comfort indicator for urban places. The data used here were collected in various soundscape campaigns carried out by Tecnalia in Bilbao (Spain) between 2011 and 2014. These studies involved 534 evaluations of 10 different places. The results indicate that many diverse contextual factors determine soundscape, the most important being the congruence between soundscape and landscape. The limitations of the findings and suggestions for further research are also discussed.Item Analysis of the upward direct chill casting of magnesium alloys(Curran Associates, 2006) Landaberea, A.; Pedros, P.; Anglada, E.; Garmendia, I.; CIRMETALThe upward direct chill casting, where the continuous casting is operated vertically against gravity, is a novel technology which has been applied to the production of high quality magnesium alloys circumventing the main disadvantages of using conventional continuous casting processes, since the risks of burning and explosion are practically eliminated. This represents a key aspect to increase the industrial application of magnesium wrought products. In order to help on the understanding of the process, a mathematical model for the simulation of the upward continuous casting of round billets of magnesium alloys has been developed. The equations for the flow field with heat transfer are numerically solved by a finite volume method and the solidification is accounted via an enthalpy-porosity formulation where the mushy region is modeled as a pseudo porous medium. The obtained temperature distribution is then used as input for a thermo-mechanical analysis to determine the deformation and stress field developed in the billet during the casting process. Several configurations have been simulated and comparison of computed results with available experimental data is provided.Item Autofluorescence image reconstruction and virtual staining for in-vivo optical biopsying(2021-02) Picon, Artzai; Medela, Alfonso; Sanchez-Peralta, Luisa F.; Cicchi, Riccardo; Bilbao, Roberto; Alfieri, Domenico; Elola, Andoni; Glover, Ben; Saratxaga, Cristina L.; COMPUTER_VISION; VISUALModern photonic technologies are emerging, allowing the acquisition of in-vivo endoscopic tissue imaging at a microscopic scale, with characteristics comparable to traditional histological slides, and with a label-free modality. This raises the possibility of an ‘optical biopsy’ to aid clinical decision making. This approach faces barriers for being incorporated into clinical practice, including the lack of existing images for training, unfamiliarity of clinicians with the novel image domains and the uncertainty of trusting ‘black-box’ machine learned image analysis, where the decision making remains inscrutable. In this paper, we propose a new method to transform images from novel photonics techniques (e.g. autofluorescence microscopy) into already established domains such as Hematoxilyn-Eosin (H-E) microscopy through virtual reconstruction and staining. We introduce three main innovations: 1) we propose a transformation method based on a Siamese structure that simultaneously learns the direct and inverse transformation ensuring domain back-transformation quality of the transformed data. 2) We also introduced an embedding loss term that ensures similarity not only at pixel level, but also at the image embedding description level. This drastically reduces the perception distortion trade-off problem existing in common domain transfer based on generative adversarial networks. These virtually stained images can serve as reference standard images for comparison with the already known H-E images. 3) We also incorporate an uncertainty margin concept that allows the network to measure its own confidence, and demonstrate that these reconstructed and virtually stained images can be used on previously-studied classification models of H-E images that have been computationally degraded and de-stained. The three proposed methods can be seamlessly incorporated on any existing architectures. We obtained balanced accuracies of 0.95 and negative predictive values of 1.00 over the reconstructed and virtually stained image-set on the detection of color-rectal tumoral tissue. This is of great importance as we reduce the need for extensive labeled datasets for training, which are normally not available on the early studies of a new imaging technology.Item Burnable Pseudo-Identity: A Non-Binding Anonymous Identity Method for Ethereum: A Non-Binding Anonymous Identity Method for Ethereum(2021) Gutierrez-Aguero, Ivan; Anguita, Sergio; Larrucea, Xabier; Gomez-Goiri, Aitor; Urquizu, Borja; Tecnalia Research & Innovation; CIBERSEC&DLTThe concept of identity has become one common research topic in security and privacy where the real identity of users must be preserved, usually covered by pseudonym identifiers. With the rise of Blockchain-based systems, identities are becoming even more critical than before, mainly due to the immutability property. In fact, many publicly accessible Blockchain networks like Ethereum rely on pseudonymization as a method for identifying subject actions. Pseudonyms are often employed to maintain anonymity, but true anonymity requires unlinkability. Without this property, any attacker can examine the messages sent by a specific pseudonym and learn new information about the holder of this pseudonym. This use of Blockchain collides with regulations because of the right to be forgotten, and Blockchain-based solutions are ensuring that every data stored within the chain will not be modified. In this paper we define a method and a tool for dealing with digital identities within Blockchain environments that are compliant with regulations. The proposed method provides a way to grant digital pseudo identities unlinked to the real identity. This new method uses the benefits of key derivation systems to ensure a non-binding interaction between users and the information model associated with their identity. The proposed method is demonstated in the Ethereum context and illustrated with a case study.Item Cascaded- and Modular-Multilevel Converter Laboratory Test System Options: A Review: A Review(2021-03) Heath, Theodor; Barnes, Mike; Judge, Paul D.; Chaffey, Geraint; Clemow, Phil; Green, Tim C.; Green, Peter R.; Wylie, James; Konstantinou, Georgios; Ceballos, Salvador; Pou, Josep; Belhaouane, Mohamed Moez; Zhang, Haibo; Guillaud, Xavier; Andrews, Jack; POWER ELECTRONICS AND SYSTEM EQUIPMENTThe increasing importance of cascaded multilevel converters (CMCs), and the sub-category of modular multilevel converters (MMCs), is illustrated by their wide use in high voltage DC connections and in static compensators. Research is being undertaken into the use of these complex pieces of hardware and software for a variety of grid support services, on top of fundamental frequency power injection, requiring improved control for non-traditional duties. To validate these results, small-scale laboratory hardware prototypes are often required. Such systems have been built by many research teams around the globe and are also increasingly commercially available. Few publications go into detail on the construction options for prototype CMCs, and there is a lack of information on both design considerations and lessons learned from the build process, which will hinder research and the best application of these important units. This paper reviews options, gives key examples from leading research teams, and summarizes knowledge gained in the development of test rigs to clarify design considerations when constructing laboratory-scale CMCs.Item Characterization of Optical Coherence Tomography Images for Colon Lesion Differentiation under Deep Learning(2021-04-01) Saratxaga, Cristina L.; Bote, Jorge; Ortega-Morán, Juan F.; Picón, Artzai; Terradillos, Elena; del Río, Nagore Arbide; Andraka, Nagore; Garrote, Estibaliz; Conde, Olga M.; VISUAL; COMPUTER_VISION; Quantum(1) Background: Clinicians demand new tools for early diagnosis and improved detection of colon lesions that are vital for patient prognosis. Optical coherence tomography (OCT) allows microscopical inspection of tissue and might serve as an optical biopsy method that could lead to in-situ diagnosis and treatment decisions; (2) Methods: A database of murine (rat) healthy, hyperplastic and neoplastic colonic samples with more than 94,000 images was acquired. A methodology that includes a data augmentation processing strategy and a deep learning model for automatic classification (benign vs. malignant) of OCT images is presented and validated over this dataset. Comparative evaluation is performed both over individual B-scan images and C-scan volumes; (3) Results: A model was trained and evaluated with the proposed methodology using six different data splits to present statistically significant results. Considering this, 0.9695 (_0.0141) sensitivity and 0.8094 (_0.1524) specificity were obtained when diagnosis was performed over B-scan images. On the other hand, 0.9821 (_0.0197) sensitivity and 0.7865 (_0.205) specificity were achieved when diagnosis was made considering all the images in the whole C-scan volume; (4) Conclusions: The proposed methodology based on deep learning showed great potential for the automatic characterization of colon polyps and future development of the optical biopsy paradigm.Item CloudOps: Towards the Operationalization of the Cloud Continuum: Concepts, Challenges and a Reference Framework: Towards the Operationalization of the Cloud Continuum: Concepts, Challenges and a Reference Framework(2022-04-25) Alonso, Juncal; Orue-Echevarria, Leire; Huarte, Maider; HPA; Tecnalia Research & InnovationThe current trend of developing highly distributed, context aware, heterogeneous computing intense and data-sensitive applications is changing the boundaries of cloud computing. Encouraged by the growing IoT paradigm and with flexible edge devices available, an ecosystem of a combination of resources, ranging from high density compute and storage to very lightweight embedded computers running on batteries or solar power, is available for DevOps teams from what is known as the Cloud Continuum. In this dynamic context, manageability is key, as well as controlled operations and resources monitoring for handling anomalies. Unfortunately, the operation and management of such heterogeneous computing environments (including edge, cloud and network services) is complex and operators face challenges such as the continuous optimization and autonomous (re-)deployment of context-aware stateless and stateful applications where, however, they must ensure service continuity while anticipating potential failures in the underlying infrastructure. In this paper, we propose a novel CloudOps workflow (extending the traditional DevOps pipeline), proposing techniques and methods for applications’ operators to fully embrace the possibilities of the Cloud Continuum. Our approach will support DevOps teams in the operationalization of the Cloud Continuum. Secondly, we provide an extensive explanation of the scope, possibilities and future of the CloudOps.Item Conceptual design and thermal analysis of a modular cryostat for one single coil of a 10 MW offshore superconducting wind turbine(2015-12-18) Sun, Jiuce; Sanz, Santiago; Neumann, Holger; Tecnalia Research & InnovationSuperconducting generators show the potential to reduce the head mass of large offshore wind turbines. A 10 MW offshore superconducting wind turbine has been investigated in the SUPRAPOWER project. The superconducting coils based on MgB2 tapes are supposed to work at cryogenic temperature of 20 K. In this paper, a novel modular rotating cryostat was presented for one single coil of the superconducting wind turbine. The modular concept and cryogen-free cooling method were proposed to fulfil the requirements of handling, maintenance, reliability of long term and offshore operations. Two stage Gifford-McMahon cryocoolers were used to provide cooling source. Supporting rods made of titanium alloy were selected as support structures of the cryostat in aim of reducing the heat load. The thermal performance in the modular cryostat was carefully investigated. The heat load applied to the cryocooler second stage was 2.17 W@20 K per coil. The corresponding temperature difference along the superconducting coil was only around 1 K.Item Deep Learning-Based Method for Accurate Real-Time Seed Detection in Glass Bottle Manufacturing(2022-11-04) Bereciartua-Perez, Arantza; Duro, Gorka; Echazarra, Jone; González, Francico Javier; Serrano, Alberto; Irizar, Liher; COMPUTER_VISIONGlass bottle-manufacturing companies produce bottles of different colors, shapes and sizes. One identified problem is that seeds appear in the bottle mainly due to the temperature and parameters of the oven. This paper presents a new system capable of detecting seeds of 0.1 mm2 in size in glass bottles as they are being manufactured, 24 h per day and 7 days per week. The bottles move along the conveyor belt at 50 m/min, at a production rate of 250 bottles/min. This new proposed method includes deep learning-based artificial intelligence techniques and classical image processing on images acquired with a high-speed line camera. The algorithm comprises three stages. First, the bottle is identified in the input image. Next, an algorithm based in thresholding and morphological operations is applied on this bottle region to locate potential candidates for seeds. Finally, a deep learning-based model can classify whether the proposed candidates are real seeds or not. This method manages to filter out most of false positives due to stains in the glass surface, while no real seeds are lost. The F1 achieved is 0.97. This method reveals the advantages of deep learning techniques for problems where classical image processing algorithms are not sufficient.Item Design and Development of OECT Logic Circuits for Electrical Stimulation Applications(2022-04-14) Kostić, Miloš; Kojić, Vladimir; Ičagić, Savo; Andersson Ersman, Peter; Mulla, Mohammad Yusuf; Strandberg, Jan; Herlogsson, Lars; Keller, Thierry; Štrbac, Matija; Tecnalia Research & Innovation; SGThis paper presents the first successful implementation of fully printed electronics for flexible and wearable smart multi-pad stimulation electrodes intended for use in medical, sports and lifestyle applications. The smart multi-pad electrodes with the electronic circuits based on organic electrochemical transistor (OECT)-based electronic circuits comprising the 3–8 decoder for active pad selection and high current throughput transistors for switching were produced by multi-layer screen printing. Devices with different architectures of switching transistors were tested in relevant conditions for electrical stimulation applications. An automated testbed with a configurable stimulation source and an adjustable human model equivalent circuit was developed for this purpose. Three of the proposed architectures successfully routed electrical currents of up to 15 mA at an output voltage of 30 V, while one was reliably performing even at 40 V. The presented results demonstrate feasibility of the concept in a range of conditions relevant to several applications of electrical stimulation.Item The Determination of Dendrite Coherency Point Characteristics Using Three New Methods for Aluminum Alloys(2018-07-26) Vicario, Iban; Viteri, Ester; Montero, Jessica; Djurdjevic, Mile; Huber, Gerhard; Gómez, Iban Vicario; PROMETALThe aim of this work is to give an overview of existing methods and to introduce three new methods for the determination of the Dendrite Coherency Point (DCP) for AlSi10Mg alloys, as well as to compare the acquired values of DCP based on a thermal analysis and on the analysis of cooling curves working with only one thermocouple. Additionally, the impact of alloying and contaminant elements on the DCP will be also studied. The first two proposed methods employ the higher order derivatives of the cooling curves. The DCP was determined as the crossing point of the second and third derivative curves plotted versus time (method 1) or that of the temperature (method 2) with the zero line just after the maximum liquidus temperature. The third proposed method is based on the determination of the crossing point of the third solid fraction derivative curve with the zero line, corresponding to a minimum of the second derivative. A Taguchi design for the experiments was developed to study the DCP values in the AlSi10Mg alloy. The DCP temperature values of the test alloys were compared with the DCP temperatures predicted by the previous methods and the influence of the major and minor alloying elements and contaminants over the DCP. The new processes obtained a correlation factor r2 from 0.954 and 0.979 and a standard deviation from 1.84 to 2.6 °C. The obtained correlation values are higher or similar than those obtained using previous methods with an easier way to define the DCP, allowing for a better automation of the accuracy of DCP determination. The use of derivative curves plotted versus temperature employed in the last two proposed methods, where the test samples did not have an influence over the registration curves, is proposed to have a better accuracy than those of the previously described methods.Item Determination of Solidification of Rigidity Point Temperature Using a New Method(2020-04-03) Villanueva, Ester; Vicario, Iban; Sánchez, Jon Mikel; Crespo, Ignacio; PROMETAL; CIRMETALThis work aims to calculate the rigidity point temperature of aluminum alloys by three new methods and compare them with currently employed methods. The influence of major and minor alloying elements over the rigidity point temperature is also discussed. Until now it has been difficult to determine the exact temperature of the rigidity point, since small variations in the data obtained give variable results, making it difficult to automate the process with high accuracy. In this work we suggested three new mathematic methods based on the calculation of higher order derivatives of (dT/dt) with respect to time or temperature compared to those currently employed. A design of experiments based on the Taguchi method was employed to compare the effect of the major and minor alloying elements for the AlSi10Mg alloy, and to evaluate the accuracy of each developed method. Therefore, these systems will allow better automation of rigidity point temperature (RPT) determination, which is one of the most important solidification parameters for solidification simulators. The importance of the correct determination of this parameter lies in its relation to quality problems related to solidification, such as hot tearing. If the RPT presents very low-temperature values, the aluminum casting will be more sensitive to hot tearing, promoting the presence of cracks during the solidification process. This is why it is so important to correctly determine the temperature of the RPT. An adequate design of chemical composition by applying the methodology and the novel methods proposed in this work, and also the optimization of process parameters of the whole casting process with the help of the integrated computational modeling, will certainly help to decrease any internal defective by predicting one of the most important defects present in the aluminum industry.Item Development of a new kpi for the economic quantification of six big losses and its implementation in a cyber physical system(2020-12-21) Morella, Paula; Lambán, María Pilar; Royo, Jesús; Sánchez, Juan Carlos; Latapia, Jaime; SG; SMART_MONThe purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.Item Development of a rotary union for Gifford-McMahon cryocoolers utilized in a 10 MW offshore superconducting wind turbine(2017-12-30) Sun, Jiuce; Sanz, Santiago; León, Andrés; Fraser, Jim; Neumann, Holger; Tecnalia Research & InnovationSuperconducting generators (SCG) show the potential to reduce the head mass of large offshore wind turbines. By evaluating the availability and required cooling capacity in the temperatures range around 20 K, a Gifford-McMahon (GM) cryocooler among all the candidates was selected. The cold head of GM cryocooler is supposed to rotate together with the rotating superconducting coil. However, the scroll compressor of the GM cryocooler must stay stationary due to lubricating oil. As a consequence, a rotary helium union (RHU) utilizing Ferrofluidic® sealing technology was successfully developed to transfer helium gas between the rotating cold head and stationary helium compressor at ambient temperatures. It contains a high-pressure and low-pressure helium path with multiple ports, respectively. Besides the helium line, slip rings with optical fiber channels are also integrated into this RHU to transfer current and measurement signals. With promising preliminary test results, the RHU will be installed in a demonstrator of SCG and further performance investigation will be performed.Item Direct Resistive Heating Simulation Tool for the Repair of Aerospace Structures through Composite Patches(2018) Garmendia, Iñaki; Vallejo, Haritz; Iriarte, Aroa; Anglada, Eva; MAQUINAS; COMPOSITE; CIRMETALBonded composite patches are very appropriate for aircraft structural repair, showing very good properties when compared with traditional mechanical fastening of metal sheets. The curing process of the composite patch must be done “onsite” and a direct resistive heating method has been proposed. The heat produced by the electric current through the Joule effect when crossing the patch carbon fibre bundles has been modelled with a Finite Element Program code, developed for the electric current equation. The heat conduction equation has also been modelled in the program, as well as the kinetics of the curing reaction of the composite resin. The electric resistivity of the materials is function of the temperature, so a nonlinear coupled system has been developed. Therefore, a complete simulation tool able to study different configurations, current intensities, materials, etc. for the composite patches is presented. A study case has been run with the developed code and results have been compared with experimental values. Good agreement is found.Item Dynamic Corrosion Test Using LiNO3 Containing Molten Salt for CSP Applications(2020-06-01) Fernández, Angel G.; Muñoz-Sánchez, Belén; Nieto-Maestre, Javier; Cabeza, Luisa F.; Tecnalia Research & InnovationLow melting point thermal energy storage (TES) materials have been proposed in the last years to reduce the storage cost in concentrating solar power (CSP) technology. One of the most interesting additive due to the enhancement in thermal properties is lithium nitrate. However, there is a lack of dynamic corrosion tests to simulate real operation conditions in CSP plants. In this work, we present a dynamic reactor set up where a mixture of 30 wt.% LiNO3 + 57 wt.% KNO3 + 13 wt.%. NaNO3 is moved through a mechanical stirrer obtaining a lineal speed of 0.30 m/s. A commercial carbon steel A516 was tested as container material at 390 °C during 1000 h. Fe2O3 and Fe3O4 were obtained as the main corrosion products by scanning electron microscopy (SEM) and x-ray diffraction (XRD) with a metallographic corrosion rate of 0.015 mm/year.