Development of flexible solar panel for space application
Traditional solar panels used to power satellites can be bulky with heavy panels folded together using mechanical hinges. Smaller and lighter than traditional solar panels, flexible solar array consists of a flexible material containing photovoltaic cells to convert light into electricity. Being flexible, the solar array could roll or snap using carbon fiber composite booms to deploy solar panels without the aid of motors, making it lighter and less expensive than current solar array designs.
On the other hand, satellite trends are shifting away from one-time stints and moving towards more regular use in a constellation setting. In the last years, the desire increased to mass-produce low-weight satellites. Photovoltaic arrays companies are challenged on their capacity to face these new needs in terms of production capacity and versatility. And this is exactly where space photovoltaics can learn from terrestrial photovoltaics where this mass production and low-cost shift occurred years ago.
To tackle these new challenges, the Liten institute started to work on these topics two years ago. In the frame of this post-doc, we propose the candidate to work on the development of an innovative flexible solar panel architecture, using high throughput assembly processes. We are looking for a candidate with a strong experience in polymers and polymers processing, along with an experience in mechanics. A previous experience in photovoltaic will be greatly appreciated.
Continuum models calibration strategy based on a 3D discrete approach
In order to develop an identification strategy for continuum constitutive models devoted to quasi-brittle materials, suited for structural analysis, often realized arbitrarily, a model based on the discrete element method has been formulated. The discrete model is used to compensate the lack of experimental data required to calibrate the continuum model. Thanks to intrinsic predispositions with respect to fracture mechanisms, the discrete model can be used easily, and its efficiency has been proved. However, only 2D simulations have been undertaken so far, mostly due to computational costs limitations.
A 2D framework reduces extensively analysis possibilites with such model, in particular for reinforced structures where 3D effects are predominant. The purpose of the present post-doctoral work is to extend to 3D the discrete approach already developped in 2D. The developments will be integrated in the FEA code CAST3M-CEA developped by DEN/DANS/DM2S/SEMT. In the mean time, the discrete model will be optimized using available tools, such as solvers, available in the CAST3M-CEA environment. Depending on the computational costs improvements, even complete structures simulations might be considered.
At the end of this work, the developed numerical tool will allow to extend the identification stragegy to constitutive models including 3D effects, such as steel/concrete interface models (confinement) and concrete model (dilatancy).
Design and Implementation of a Neural Network for Thermo-Mechanical Simulation in Additive Manufacturing
The WAAM (Wire Arc Additive Manufacturing) process is a metal additive manufacturing method that allows for the production of large parts with a high deposition rate. However, this process results in highly stressed and deformed parts, making it complex to predict their geometric and mechanical characteristics. Thermomechanical modeling is crucial for predicting these deformations, but it requires significant computational resources and long calculation times. The NEUROWAAM project aims to develop a precise and fast thermomechanical numerical model using neural networks to predict the physical phenomena of the WAAM process. An internship in 2025 will provide a database through thermomechanical simulations using the CAST3M software. The post-doc's objective is to develop a neural network architecture capable of learning the relationship between the manufacturing configuration and the thermomechanical characteristics of the parts. Manufacturing tests on the CEA's PRISMA platform will be conducted to validate the model and prepare a feedback loop. The CEA List's Interactive Simulation Laboratory will contribute its expertise in accelerating simulations through neural networks and active learning to reduce training time.
Nonlinear dynamic analysis of a reinforced concrete structure subjected to seismic loadings: Deterministic and probabilistic study of response spectra
The proposed work is based on the experimental campaign of the ENISTAT project and is composed of three parts:
1. Calibration and enhancement of the numerical model (5 months)
Based on the nonlinear numerical model that has been realized in CEA, the applicant will have to compare the results to those provided by the experimental campaign. The potential gaps will be interpreted and the model should be calibrated (and/or enhanced) to ensure a satisfactory accordance with the experimental results and observations.
2. Deterministic and probabilistic analysis of response spectra (5 months)
Based of the numerical model that will have been calibrated, the response spectra will be computed in given points. They will be compared the demand spectra prescribed by the design rules such as the EC8. Based on probabilistic methods that are developed in CEA for seismic applications, the uncertainties not only of the input parameters but also of the seismic signals will be taken into account. The induced variability of the response spectra will be quantified and discussed. One can notice that the knowledge of these data is particularly interesting since design rules in seismic engineering are based on them.
3. Study of the effect of the thermic brick elements
Thanks to the experimental results, not only experimental but also numerical, a discussion on the effect of the thermic brick elements will be realized with the aim to draw first conclusions on their effect on the overall structural behavior under seismic loading.
Modelling of actinide electrorefining
Modelling of an actinide electrorefining process
In the frame of the SACSESS European project CEA, ITU and CNRS are studying jointly a pyrochemical process for the reprocessing of spent nuclear fuels by electrolysis in molten chloride salts.
The main objective of the proposed post-doctoral work concerns the modelling of electrorefining runs onto aluminium cathodes using U-Pu-Zr-Am-Gd-Nd-Ce-Y metallic alloy. The modelling aims to evaluate the efficiency of this electrolytic process in terms of separation factors and to optimize the process flow sheets for a safe nuclear materials management.
Model reduction in dynamics : application to earthquake engineering problems
The complexity and refinement of the numerical models used to predict the behavior of structures under seismic loading often impose computation times of several days for solving the partial differential equations of the reference problem.
Furthermore, in the context of optimization , model identification, or parametric and stochastic analyses, the aim is not to predict the response of a unique model but of a family of models.
To reduce the computation time, model reduction techniques (Proper Orthogonal/Generalized Decomposition) may be considered. This post-doctoral study proposes to define and implement (especially in the FE code CAST3M) a technique suitable for the reduction of reinforced concrete type models subjected to seismic loading.
Study of aerosol transport through degraded materials
Radioactive Waste (RW) are produced during nuclear activities and are categorized as a function of their activities and their half-life in order to manage their conditioning, transport, storage… Mortar can be used in order to immobilize and/or create a safe barrier forming a Radioactive Waste Package (RWP) in order to protect the environment. It is important to study the efficiency of this mortar barrier for long term and safety assessment have to investigate the case of crack mortar formation as radioactive particles could then migrate in the cracks.
The LECD laboratory investigated this problematic by measuring the migration of CeO2 particle in mortar cracks using X-Ray microtomography. The cracks were synthesized by dissolving plastic molds (designed by 3D printing). This study showed the influence of particle interactions with tortuosity and roughness of the crack, but was limited to 40 µm particle diameter.
The aim of the postdoctoral work is to develop an experimental approach similar to the method developed to study the efficiency of HEPA filters, with particles of 0.05 - 5 µm diameter. Quantitative measurements will be performed on the particle flows on both sides of the cracked mortar sample. LECD has acquired an aerosol generator, a light-scattering aerosol spectrometer system for particle size analysis and concentration determination and an Universal Scanning Mobility Particle Sizers. The researcher will also develop modelling work using numerical tools as STARCCM+.
This project will be carried out under the format of an 12-month fixed-term contract at the Atomic Energy and Alternative Energies Commission (CEA), at the Cadarache site (Saint-Paul-lez-Durance, 13) at the Expertise and Destructive Characterization Laboratory (LECD) of the Expertise and Characterization CHICADE Service (SECC).
Contacts: ingmar.pointeau@cea.fr (R&D engineer) – Olivier.vigneau@cea.fr (Head of the Laboratory)
Sizing and control optimisation of a hydrogen production system coupled with an offshore wind farm
Coupling MRE (Marine Renewable Energy) and hydrogen sectors reveal an important potential long-term assets. The MHyWind project suggests to estimate the energetic and economic potential of a hydrogen production system integrated into a substation of an offshore wind farm. The hydrogen produced and stored locally will be distributed by boat for harbour uses, as a replacement of fossil fuels. For that purpose, it will be organized a simulation which will integrate all the energy chain towards the harbour uses of hydrogen. It will allow to estimate various configurations and sizing according to the local uses, valuation leverages, control modes and behavior of the system. The criteria will be the producible (kg of H2 producted and used) and complet costs (CAPEX and OPEX). The objective of the postdoctoral student will be to develop the simulation tool on this applicative being fully integrated with the teams of concerned laboratories.
DEM’N’MELT Process : Optimisation of operating conditions by modelling
Within the framework of the PROVIDENCE project (Plan Relance, France), the DEM'N'MELT process was developed with the aim of marketing a solution for the treatment and conditioning of high and medium level waste to sites operators undergoing dismantling or remediation, in France and abroad. In this context, studies have been undertaken to optimise the operating conditions of the process.
The candidate will have to take in charge the software used in our Laboratory (Fluent, Workbench, SpaceClaim, Meshing), to appropriate the existing models. These models will have to evolve to :
o take into account additional measurements to calibrate the model
o study the sensitivity of the system to the physical properties of the glass
o optimise furnace operation and manage the feed capacity according to the filling level
o add agitation to the glass bath.
The candidate will be able to rely on the skills of the LDPV Laboratory, both experimentally and in modelling.
Modelling and evaluation of the future e-CO2 refinery
In the context of achieving carbon neutrality by 2050, the CEA has initiated a project in 2021 to assess the relevance of coupling a nuclear power system with a direct atmospheric carbon capture device (DAC) thanks to the use of the system's waste heat.
As a member of a team of about twenty experts(energy system evaluation, techno-economic engineering, energy system modeling, optimization and computer programming), you will participate in a research project on the modeling and evaluation of a CO2 refinery dedicated to the production of Jet Fuel fed by a nuclear reactor and coupled with an atmospheric CO2 capture process.