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    Numerical mechanics team projects

    Type de pro­jet : ANR

    Acronyme : ASTRIA

    Title : Deci­sion Sup­port Tool for Robust Design of Adap­tive Meta-com­pos­ite Structures

    Sci­en­tif­ic leader : Pierre Feis­sel

    Dates : 01/10/2021 au 31/08/2027

    Abstract : Adap­tive mate­ri­als have addi­tion­al sens­ing or actu­at­ing prop­er­ties com­pared to con­ven­tion­al mate­ri­als. Com­pos­ites are key mate­ri­als for many fields (trans­port, aero­nau­tics, renew­able ener­gies, …). Their com­bi­na­tion allows the emer­gence of so-called « adap­tive meta-com­pos­ites ». By inte­grat­ing struc­tur­al and mul­ti­func­tion­al prop­er­ties, these mate­ri­als have prop­er­ties tai­lored to spe­cif­ic tech­ni­cal spec­i­fi­ca­tions. How­ev­er, their indus­tri­al emer­gence is lim­it­ed by the lack of design tools. The ASTRIA project is inter­est­ed in the devel­op­ment of deci­sion sup­port tools for their robust design. This project tar­gets, at the same time, numer­i­cal aspects (mod­el­ing, sim­u­la­tion, man­age­ment of uncer­tain data and con­trol), exper­i­men­tal (man­u­fac­tur­ing of func­tion­al meta-struc­tures, iden­ti­fi­ca­tion and mod­el cal­i­bra­tion) and applica­tive aspects (devel­op­ment of oper­a­tional devices

    Key­words : Sci­en­tif­ic com­put­ing, sim­u­la­tion and mod­el­ling tools, Mate­ri­als engi­neer­ing (bio­ma­te­ri­als, met­als, ceram­ics, poly­mers, composites,etc, Con­trol engineering

    Type de pro­jet : ANR

    Acronyme : MS3C

    Titre : Mécanique, sto­chas­tique et con­trôle avec cou­plage de codes

    Respon­s­able sci­en­tifique : Adnan Ibrahimbegovic

    Dates : 01/12/2020 au 20/12/2025

    Résumé : With a quest for increas­ing renew­able ener­gy share, Euro­pean Com­mu­ni­ty has launched the grand chal­lenge of deliv­er­ing the wind-tur­bine instal­la­tions that can pro­vide 10MW elec­tric pow­er per year, which dou­bles the cur­rent max­i­mal capac­i­ty in Europe. Our main research hypoth­e­sis is that such a pro­duc­tion increase can be achieved with com­bined efforts of explor­ing: i) sys­tem-ofsys­tem point of view to wind-tur­bine farms in order to opti­mize per­for­mance of each unit in exist­ing sys­tems and ii) tech­no­log­i­cal inno­va­tion towards larg­er wind-tur­bines with flex­i­ble blades as flex­i­ble multi­body sys­tems in order to guar­an­tee the tur­bine safe­ty under extreme wind conditions.

    Mots clés : Mechan­ics ; Sto­chas­tics ; Con­trol ; Code Coupling

    Type de pro­jet : ANR

    Acronym : INFLUE

    Title : Impact of Inland Nav­i­ga­tion on the Environment

    Sci­en­tif­ic leader : Del­phine Brancherie

    Date : 01/10/2023 au 07/01/2028

    Abstract : The French riv­er net­work con­sists of approx­i­mate­ly 18,000 km of water­ways, of which 8,500 km are nav­i­ga­ble. This net­work includes rivers and canals that have been devel­oped and opened for trans­port. France has one of the longest net­works of nav­i­ga­ble water­ways in Europe. This mode of trans­port has the advan­tage of gen­er­at­ing low­er CO2 emis­sions than road trans­port per tonne trans­port­ed. Over­all, over the last decade, inland water­way trans­port has inten­si­fied, notably with an increase in the vol­umes trans­port­ed. This strong modal shift towards riv­er trans­port there­fore gen­er­ates new issues such as clean, eco­nom­i­cal, safe and intel­li­gent ships. This implies research into manoeu­vra­bil­i­ty, fuel con­sump­tion and the envi­ron­men­tal impact of nav­i­ga­tion. There are many issues at stake: bet­ter dimen­sion­ing of infra­struc­tures in rela­tion to the evo­lu­tion of the fleet and cli­mate change, study­ing facil­i­ties in rela­tion to the prob­lems of agi­ta­tion, sta­bil­i­ty, cross­ing or reflec­tion of waves. Inland nav­i­ga­tion inter­venes in an envi­ron­ment that is not only frag­ile, due to the rich­ness of its bio­di­ver­si­ty, but also high­ly dynam­ic and vari­able. In this con­text, the hydro­dy­nam­ic prob­lems relat­ed to the riv­er envi­ron­ment will become a key issue in order to opti­mize the use of water­ways while pro­tect­ing the envi­ron­ment and its bio­di­ver­si­ty, whether eco­log­i­cal or relat­ed to her­itage. Indeed, nav­i­ga­tion has a direct impact on the bal­ance of the riv­er ecosys­tem. the waves gen­er­at­ed by ves­sels destruct the river­banks and chan­nels. This ero­sion phe­nom­e­non is main­ly relat­ed to the wave heights gen­er­at­ed by ves­sels wake and to the sig­nif­i­cant flow veloc­i­ty gen­er­at­ed by their pas­sage through the water­way. Many para­me­ters gov­ern the for­ma­tion and prop­a­ga­tion of these waves and relat­ed flow veloc­i­ty: geom­e­try of the water­way, shape and speed of the boat, veloc­i­ty and direc­tion of the cur­rent, type of bank lay­out, and so on. Although sev­er­al stud­ies have already been car­ried out with this in mind, they have not made it pos­si­ble to quan­ti­fy the instan­ta­neous impacts of hydro­dy­nam­ic action. As a con­se­quence, it is essen­tial to under­stand the influ­ence of ship and chan­nel para­me­ters on flow and sed­i­ment trans­ports in rivers in order to imple­ment the appro­pri­ate struc­tur­al arrange­ments to min­imise the impact of inland nav­i­ga­tion on the envi­ron­ment. This chal­lenge is essen­tial for the man­ag­er to ensure an eco­nom­i­cal and envi­ron­men­tal­ly friend­ly means of trans­port. Based on the skills and resources of the part­ners, INFLUE focus­es on the impact of nav­i­ga­tion on the riv­er envi­ron­ment. Iden­ti­fy­ing hydro­dy­nam­ic and the inter­ac­tion of the gen­er­at­ed flow with sed­i­ment are impor­tant for of the chan­nel man­age­ment, includ­ing water­way plan­ning, nav­i­ga­tion-relat­ed prob­lems in busy waters, river­bank pro­tec­tion, and sed­i­ment con­ti­nu­ity in the riv­er. The knowl­edge gap is main­ly due to the many and com­plex inter­act­ing fac­tors that are involved in the ero­sion process, espe­cial­ly when ship waves and result­ed cur­rents are present. The com­plex­i­ty of fac­tors affect­ing ero­sion rates involves (i) waves and cur­rents induced by ships that vary in size, speed, load­ing, and trav­el­ing dis­tances from the bank, (ii) spa­tial­ly vary­ing bank geot­ech­ni­cal char­ac­ter­is­tics, (iii) entrain­ment rates of bank mate­r­i­al and its char­ac­ter­is­tic. It is par­tic­u­lar­ly dif­fi­cult to iso­late the effects of the sin­gle fac­tors due to their simul­ta­ne­ous occur­rence and mutu­al inter­ac­tions. INFLUE objec­tives are to char­ac­ter­ize the local process­es that deter­mine the evo­lu­tion of unpro­tect­ed banks in nav­i­ga­ble reg­u­lat­ed rivers in order, final­ly, to estab­lish pre­dic­tive mod­els to quan­ti­fy the river­bank sta­bil­i­ty. To achieve, detailed inves­ti­ga­tions are need­ed to bet­ter char­ac­ter­ize the fac­tors con­trol­ling hydro­dy­nam­ics due to ship motion in con­fined water. Study of process­es that dri­ve bank ero­sion and sta­bil­i­ty, inte­grate the roles of rel­e­vant fac­tors such as sed­i­ment char­ac­ter­is­tics is proposed

    Key­words : flu­ids mechan­ic, trans­port, numer­i­cal sim­u­la­tion, exper­i­men­ta­tion, modelisation

    Acoustics and vibrations team projects

    Materials and surfaces team projects

    Type de pro­jet : ANR

    Acronym : NANOLIFE

    Title : Extend­ing the fatigue lifes­pan of ther­mo­plas­tic nanocom­pos­ites: fun­da­men­tal insight in par­ti­cle size and inter­phase prop­er­ties effects

    Sci­en­tif­ic leader : Fah­mi Bedoui

    Dates : 01/10/2022 au 31/12/2026

    Abstract : High per­for­mance ther­mo­plas­tic com­pos­ites are a promis­ing option to light­en vehi­cles in the scope of sus­tain­able devel­op­ment. Focus­ing specif­i­cal­ly on ther­mo­plas­tic nanocom­pos­ites, their fatigue resis­tance is crit­i­cal for most appli­ca­tions. Some works report improved fatigue resis­tance after load­ing epoxy with nanopar­ti­cles, where­as no work exists on the role of par­ti­cle size and inter­phase prop­er­ties on the fatigue life of ther­mo­plas­tic nanocom­pos­ites. The NANOLIFE project aims to under­stand the mol­e­c­u­lar mech­a­nisms gov­ern­ing the for­ma­tion and prop­a­ga­tion of cracks in the vicin­i­ty of nanopar­ti­cles in cor­re­la­tion with their effect on macro­scop­ic fatigue prop­er­ties. Our holis­tic approach cov­ers from the par­ti­cle chem­istry to the fatigue char­ac­ter­i­za­tion and lifes­pan pre­dic­tion. As the mechan­i­cal response of nanocom­pos­ites is high­ly sys­tem-depen­dent, we chose as a mod­el sys­tem sil­i­ca spheres dis­persed in an amor­phous glassy matrix. The par­ti­cles will be graft­ed with well-defined poly­mer chains to explore the effects of cohe­sion between the matrix and the inter­phase. The inter­phase thick­ness and entan­gle­ment rate will be screened by i) chang­ing the par­ti­cle size, graft­ing den­si­ty and chain length and ii) imple­ment­ing dynam­ic crosslinks in the inter­phase to trap entan­gled matrix chains with­in a dynam­ic cova­lent net­work. The mechan­i­cal tests will enable to link the inter­phase prop­er­ties to fail­ure modes with a mul­ti­scale approach. Dig­i­tal image cor­re­la­tion and infrared ther­mog­ra­phy mon­i­tor­ing dur­ing crack prop­a­ga­tion fatigue tests will be applied to access local strains near the crack tip and crack prop­a­ga­tion rate. Dam­age mech­a­nisms will be iden­ti­fied from ther­mo­graph­ic data record­ed dur­ing ten­sile-ten­sile fatigue to pre­dict lifes­pan. In par­al­lel to the exper­i­men­tal work, numer­i­cal approach­es will bring under­stand­ing in chain con­for­ma­tion, dynam­ics and inter­fa­cial adhe­sion with graft­ed nanopar­ti­cles as well as ini­ti­a­tion of the dam­age dur­ing fatigue cycles.

    Key­words : inter­phase, fatigue life­cy­cle, nanocomposites

    Type de pro­jet : ANR

    Acronym : FORECAST

    Title : eFfects of fORm­ing dEfects on the meChAn­i­cal responSe of com­pos­iTe structures

    Sci­en­tif­ic leader : Zoheir Aboura

    Dates : 01/10/2023 au 30/09/2027

    Abstract : The com­pos­ite mate­r­i­al aris­es simul­ta­ne­ous­ly with the struc­ture dur­ing the real­i­sa­tion of the part. Any defect caused dur­ing imple­men­ta­tion can affect the mechan­i­cal strength of thestruc­ture. This work focus­es on the effects of defects gen­er­at­ed dur­ing the form­ing of dry pre­forms and their con­se­quences on the final prop­er­ties of the com­pos­ite struc­ture after resin impreg­na­tion. While many stud­ies have addressed the form­ing defects of dry pre­forms, the lit­er­a­ture is scarce on the effects of these defects and the need to mod­el them. Two aspects are the sub­ject of this research. The first, very exper­i­men­tal, seeks to iden­ti­fy form­ing defects by inte­grat­ing orig­i­nal­i­ty dur­ing the process: the mon­i­tor­ing, in-situ, of the deforma­bil­i­ty of the pre­form by inte­grat­ing piezo sen­sors at the heart of the rein­force­ment in order to refine the under­stand­ing of the for­ma­tion of defects. After resin impreg­na­tion, the defects will be tomo­graphed in order to gen­er­ate a vox­el mod­el that can be used by the sec­ond part of this research. The com­pos­ites obtained will be test­ed exper­i­men­tal­ly in order to analyse the impli­ca­tion of defects on the dura­bil­i­ty of the struc­tures. Here too, the piezo sen­sors at the heart of the com­pos­ite will allow bet­ter mon­i­tor­ing of dam­age mech­a­nisms. The sec­ond part of this research address­es the mod­el­ling aspects. It is a ques­tion of sim­u­lat­ing the form­ing defects, cal­cu­lat­ing the resid­ual stress­es result­ing from the defor­ma­tion of dry fab­rics and ver­i­fy­ing, by com­par­i­son with the exper­i­ment, the valid­i­ty of the approach­es used. Then the study will move towards the mod­el­ling of the com­pos­ite in the pres­ence of form­ing defects. The  approach used will be based on the meso­scop­ic scale phase field method and tak­ing into account the resid­ual stress­es pre­vi­ous­ly cal­cu­lat­ed. A per­ma­nent dia­logue between tests and cal­cu­la­tions will ensure the valid­i­ty of the approach­es that will be developed.

    Key­words : Mechan­i­cal Behav­ior , Mul­ti-scale Mod­el­ling, Process Mon­i­tor­ing, Com­pos­ite Process, Defects

    Type de pro­jet : ANR

    Title : RelA­tions between miCrostruc­ture meChan­ics and OxidatiON

    Acronym : RACCOON

    Sci­en­tif­ic leader : Jérôme Favergeon

    Dates : 01/01/2023 au 31/12/2026

    Abstract : Life time pre­dic­tion of a metal­lic alloy sub­ject­ed to high tem­per­a­ture oxi­da­tion is a chal­lenge of major indus­tri­al inter­est. The mul­ti-phys­i­cal and mul­ti-scale natures of the inter­ac­tions at play dur­ing high tem­per­a­ture oxi­da­tion require con­sid­er­ing the strong cou­plings between chem­i­cal and dif­fu­sion­al process­es, microstruc­ture, mechan­i­cal effects and ther­mal effects.

    The RACCOON project aims at describ­ing, char­ac­ter­iz­ing and mod­el­ing these cou­plings at dif­fer­ent scales in mod­el alloys with sim­pli­fied met­al­lur­gy. The project fol­lows an upstream approach with the ambi­tion to pro­vide fun­da­men­tal knowl­edge on the rela­tion­ships between high tem­per­a­ture oxi­da­tion of metal­lic alloys and the evo­lu­tion of inelas­tic defor­ma­tions. It aims at link­ing the meso- and macro- scales through con­nec­tions between phe­nom­e­na at micro and meso­scop­ic scales and phe­nom­e­no­log­i­cal mod­els that can be used at larg­er scales. The main objec­tives are to char­ac­ter­ize the fun­da­men­tal mech­a­nisms at the ori­gin of the impact of the mechan­i­cal state of the mate­r­i­al on the oxi­da­tion rates and the inter­de­pen­dence between the mechan­i­cal stress­es evo­lu­tion and the oxi­da­tion rates. The pur­pose is to clar­i­fy the ori­gin of the rela­tion­ships between high tem­per­a­ture oxi­da­tion and mechan­i­cal behav­iour. The exper­i­men­tal results will be cap­i­tal­ized through a phase-field mod­el which devel­op­ment is an objec­tive of the project. The phase field approach enables to sim­u­late the microstruc­tur­al evo­lu­tion of het­ero­ge­neous mate­ri­als. Its appli­ca­tion to high tem­per­a­ture oxi­da­tion is tricky because of the com­plex­i­ty of the encoun­tered sys­tems. Aphase-field mod­el includ­ing the dif­fu­sion mech­a­nisms linked to oxi­da­tion, large defor­ma­tions and creep will allow an unprece­dent­ed numer­i­cal descrip­tion allow­ing a bet­ter inter­pre­ta­tion of the exper­i­men­tal results.

    Key­words : high tem­per­a­ture oxi­da­tion, phase field model

    Type de pro­jet : ANR

    Title : Addi­tive man­u­fac­tur­ing of low loss mag­net­ic alloys by 3D lamination

    Acronym : FALSTAFF

    Sci­en­tif­ic leader : Sal­i­ma Bouvier

    Dates : 01/10/2022 au 31/03/2027

    Abstract : FALSTAFF pro­pos­es to exploit addi­tive man­u­fac­tur­ing tech­nolo­gies to explore new ways to archi­tect mas­sive mag­net­ic alloy com­po­nents in the form of lam­i­nat­ed struc­tures in the 3 direc­tions of space (3D). These com­po­nents would com­bine mag­net­ic struc­tures (thin <0.3mm, thick­ness of sheet met­al in cur­rent devices) and insu­lat­ing struc­tures to lim­it loss­es with­in the mate­r­i­al in the high fre­quen­cy range (>400Hz). The project aims to demon­strate the fea­si­bil­i­ty of such struc­tures by first tar­get­ing per­for­mances close to those obtained with sheet met­al in the low-fre­quen­cy and high-fre­quen­cy range, and thus pave the way for the design of com­plex parts for elec­tri­cal machines. This project will exam­ine the rela­tion­ships between process para­me­ters, the microstruc­tur­al state, and the mechan­i­cal, elec­tri­cal, and mag­net­ic response of the result­ing structures.

    Key­words: Elec­tri­cal Machine, Addi­tive Man­u­fac­tur­ing, Microstruc­ture, Mechan­i­cal, Elec­tri­cal and Mag­net­ic Prop­er­ties, Lam­i­nat­ed Struc­tures, Iron-Sil­i­con Alloy, Iron-Cobalt-Vanadium

    Mechatronics, energy, electricity, integration team projects

    Type de pro­jet : ANR 

    Acronym : XtremLoc

    Title : High res­o­lu­tion opti­cal local­iza­tion ded­i­cat­ed to the nav­i­ga­tion of a bone end prosthesis

    Sci­en­tif­ic leader : Hani Al Hajjar

    Dates : 01/10/2024 au 28/02/2029

    Abstract : Com­put­er-nav­i­gat­ed surgery has become wide­ly used in ortho­pe­dics in recent decades, thanks to its proven effec­tive­ness in knee,hip and shoul­der arthro­plas­ty. This solu­tion pro­vides real-time assis­tance to the sur­geon in the oper­at­ing room, opti­miz­ing implant siz­ing and posi­tion­ing. Dur­ing the surgery, a spe­cif­ic mod­ule local­izes the patien­t’s anatom­i­cal struc­tures thanks to mark­ers locat­ed on the bone struc­tures and the sur­geon’s instru­ments. Nav­i­ga­tion soft­ware dis­plays rel­e­vant clin­i­cal infor­ma­tion to assist the surgeon.

    Exist­ing solu­tions are main­ly based on bi-ocu­lar opti­cal cam­eras that local­ize mark­ers fixed to the areas of inter­est. The size and weight of the mark­ers make these solu­tions unsuit­able for extrem­i­ty surgery, in par­tic­u­lar trapeziometacarpal arthro­plas­ty, where the size of the inci­sion and bones is very small (of the order of a cm). In this con­text, the Xtrem­Loc project will offer the first inte­grat­ed solu­tion to assist the sur­geon and to accu­rate­ly guide the fit­ting of a metacarpal pros­the­sis. The pathol­o­gy tar­get­ed here is rhizarthro­sis, that is osteoarthri­tis affect­ing the trapeziometacarpal joint at the base of the thumb. It is the most com­mon form of osteoarthri­tis in the hand and has increased sig­nif­i­cant­ly in recent years, due to the more reg­u­lar use of key­boards and smartphones.

    The main objec­tive of the Xtrem­Loc project is to devel­op a com­plete nav­i­ga­tion sys­tem to repair these small joints. This device will guide the sur­geon dur­ing the implan­ta­tion of a trapeziometacarpal pros­the­sis and con­tribute to opti­mize its posi­tion­ing, enabling the patient to regain bet­ter mobil­i­ty and lim­it post-oper­a­tive com­pli­ca­tions. The solu­tion pro­posed in this project is based on three inno­v­a­tive aspects. The first involves the design of non-inva­sive three-dimen­sion­al opti­cal local­iza­tion sys­tem, hav­ing a micro­met­ric accu­rate and com­pat­i­ble with the oper­at­ing room envi­ron­ment. It incor­po­rates mini opti­cal retrore­flec­tors (vol­ume in the order of mm3) attached to bones and sur­gi­cal instru­ments, to local­ize them using high-speed (kHz) laser beam scan­ning tech­nol­o­gy. This scan­ning is per­formed by MEMS mir­rors that can rotate around two orthog­o­nal axes. By exploit­ing the reflec­tions of the laser beams on these retrore­flec­tors, it is pos­si­ble to local­ize them and the struc­tures that car­ry them in real time (i.e. the patien­t’s anatom­i­cal fea­tures andthe sur­geon’s prob­ing instru­ments), in terms of both posi­tion and orientation.

    The sec­ond com­po­nent is a soft­ware suite orches­trat­ing plan­ning and guid­ance. It is b ased on auto­mat­ic seg­men­ta­tion and mod­el­ling of bone struc­tures from scan­ner images, enabling detec­tion of patient-spe­cif­ic anatom­i­cal fea­tures and cal­cu­la­tion of opti­mal implant posi­tion­ing. A pre­cise reg­is­tra­tion method between intra­op­er­a­tive infor­ma­tion from opti­cal sen­sors and plan­ning data enables intra­op­er­a­tive guid­ance of the surgeon.

    The third part of the project involves the inte­gra­tion of a nav­i­gat­ed surgery pro­to­type com­bin­ing the above hard­ware and soft­ware bricks. The phys­i­cal imple­men­ta­tion of the local­iza­tion mod­ule will be brought into line with the rules gov­ern­ing hous­ing water­tight­ness, instru­ment ster­il­iza­tion and ocu­lar safe­ty, so that it can be inte­grat­ed into the sur­gi­cal work­flow. Nav­i­ga­tion tests will be car­ried out on the sur­gi­cal plat­form PLa­TIMed, enabling a com­plete surgery to be per­formed on anatom­i­cal spec­i­mens, and the final demon­stra­tor to be val­i­dat­ed in a real­is­tic environment.

    Key­words : sig­nal and image pro­cess­ing, med­ical devices

    Type de pro­jet : ANR

    Acronym : PARS

    Title : Pro­gram­ma­ble Aper­ture for Resis­tive Sens­ing of Nanoparticles

    Sci­en­tif­ic leader : Frédéric Lamar­que

    Dates : 01/10/2023 au 30/11/2026

    Abstract : Appli­ca­tions of nanopar­ti­cles are numer­ous, from scratch resis­tance coat­ings and elec­tron­ic com­po­nents to nano-med­i­cine ther­a­pies. For instance, lipid nanopar­ti­cles are of spe­cial inter­est for encap­su­lat­ing poor­ly water-sol­u­ble active ingre­di­ents and are now a key com­po­nent of COVID-19 mRNA vac­cines. To ensure the reli­a­bil­i­ty of prod­ucts and the effi­ca­cy and safe­ty of ther­a­pies, meth­ods for con­trol­ling the qual­i­ty of nanopar­ti­cles are of great impor­tance. PARS project aims at devel­op­ing a resis­tive-based mea­sure­ment method based on a pro­gram­ma­ble aper­ture, which par­tial­ly is defined by an elas­tomer­ic mate­r­i­al, whose shape is local­ly deformed by wire­less­ly con­trolled bistable microac­tu­a­tors. They will be acti­vat­ed by shape mem­o­ry alloy (SMA) ele­ments, that can be opti­cal­ly adressed by laser beams, through wave­length selec­tive wave­guides, there­by con­trol­ling their inde­pen­dent sta­ble states. The choice of opti­cal pow­er sup­ply and con­trol has been made to avoid dis­tur­bances of fast resis­tive pulse sig­nals with low mag­ni­tude before ampli­fi­ca­tion. Final­ly, the resis­tive mea­sure­ment of par­ti­cles with the help of the aper­ture in the form of a pore with dig­i­tal­ly con­trolled local cross-sec­tions and mul­ti­ple micro­elec­trodes will be demon­strat­ed in a microflu­idic set­up. The mul­ti­ple sig­nals obtained from dif­fer­ent pore posi­tions will pro­vide fin­ger­prints that will allow con­clu­sions not only about the size but also the mor­phol­o­gy of the indi­vid­ual par­ti­cles and the com­po­si­tions of het­ero­ge­neous par­ti­cle pop­u­la­tions. Based on this con­cept, sort­ing of small par­ti­cles based on size and mor­phol­o­gy and inte­gra­tion with microflu­idic nanopar­ti­cle pro­duc­tion and imped­ance mea­sure­ments that indi­cate also dielec­tric par­ti­cle prop­er­ties will also be con­sid­ered in the longer term.

    Key­words : mesure résis­tive ; nanopar­tic­ules en milieu microflu­idique ; micro-action­neurs bista­bles ; matéri­aux act­ifs ; télé-ali­men­ta­tion optique

    Integrated systems : product / process team projects

    Type de pro­jet : EUROPE

    Acronym : H2REF DEMO

    Title : Hydraulic com­pres­sion for high capac­i­ty hydro­gen refu­elling sta­tion Demonstration

    Sci­en­tif­ic leader : Eric Noppe

    Dates : 01/01/2023 au 30/06/2026

    Abstract : H2REF-DEMO aims to fur­ther devel­op and scale up by a fac­tor of 5 the inno­v­a­tive com­pres­sion con­cept devel­oped in H2REF, in order to address large vehi­cle refu­elling appli­ca­tions requir­ing hydro­gen to be dis­pensed at rates of hun­dreds of kg/h, such as bus fleet refu­elling every evening at the bus depot, truck refu­elling, and train refu­elling. Thanks to demon­strat­ing the process dur­ing one year for com­mer­cial 35 MPa refu­elling of trucks, the project will bring to TRL7 the dis­rup­tive com­pres­sion tech­nol­o­gy pre­vi­ous­ly devel­oped in the H2REF project and already val­i­dat­ed for 70 MPa refu­elling of light duty vehi­cles. Along with capac­i­ty scale-up, H2REF DEMO will focus on process opti­mi­sa­tion, cost reduc­tion and fur­ther dura­bil­i­ty test­ing, Full opti­mi­sa­tion will be achieved by first devel­op­ing a dig­i­tal twin of the scaled-up process. Use of accu­mu­la­tors with shells in hoop wrapped steel (Type II), a suit­able tech­nol­o­gy for 35 MPa refu­elling, will allow to opti­mise costs. A thor­ough accel­er­at­ed test­ing approach involv­ing at least 500 hours of con­tin­u­ous oper­a­tion, will allow to ver­i­fy dura­bil­i­ty of the accu­mu­la­tors and the com­pres­sion stages over the full range of oper­at­ing con­di­tions. The demon­strat­ed sys­tem is expect­ed to pro­vide a peak dis­pens­ing capac­i­ty of 150 kg/h, amount­ing to 1200 kg/d with 8 hours of dai­ly oper­a­tion, with a tar­get­ed cost of 1200 €/(kg/d). The process is expect­ed to reduce elec­tric­i­ty con­sump­tion to 3.5 kWh/kg of dis­pensed hydro­gen, from pro­duc­tion on site at 2 MPa to vehi­cle tank at 42 MPa. The knowl­edge gained will allow sub­se­quent devel­op­ment to focus on com­mer­cial prod­uct devel­op­ment for short term com­mer­cial deploy­ment. A mul­ti-dis­ci­pli­nary team, com­posed of 4 indus­tri­al com­pa­nies and 3 RTOs, com­bin­ing exper­tise in hydraulic pow­er sup­ply, in blad­der accu­mu­la­tor, in process sim­u­la­tion, mod­el­ling process dig­i­tal twins, in H2 refu­elling and dis­tri­b­u­tion sta­tions is gath­ered in the con­sor­tium to reach the tar­get­ed KPIs of H2REF-DEMO.

    Key­words : Hydro­gen, Refu­el­ing sta­tion, Hydraulic, compression

    Type de pro­jet : ANR

    Acronym : I-DAVE

    Titre : Data-Knowl­edge Inte­gra­tion to improve the reli­a­bil­i­ty of LCA pro­jets in the Enter­prise of the futur

    Sci­en­tif­ic leader : Julien Le Duigou

    Dates : 01/10/2023 au 31/07/2027

    Abstract : Despite the grow­ing inter­est in life cycle assess­ment (LCA) and prod­uct car­bon foot­print (PCF) issues, the appli­ca­tion of these meth­ods and tools is often fac­ing three chal­lenges that can dis­rupt their results: Data col­lec­tion; Choice of « ener­gy cost » cen­ters; and def­i­n­i­tion of data repos­i­to­ries. These chal­lenges are very dif­fi­cult because the expert of indus­tri­al­process­es doe sn’t have the LCA/ECP cul­ture. More­over, the val­i­da­tion and aggre­ga­tion of all the fac­tors is a very com­plex activ­i­ty because the data are col­lect­ed from very het­ero­ge­neous sources, in var­i­ous con­texts and life phas­es. These issues are even more crit­i­cal when the tar­get sys­tem has a long life cycle (SLLC) (i.e. trains, ships, large pro­duc­tion sys­tems, pow­er plants, etc.). The objec­tive of the i-DAVE project is to pro­pose an inter­op­er­a­ble frame­work based on knowl­edge and AI, con­nect­ing PLM and LCA approach­es for the reli­a­bil­i­ty of stud­ies ded­i­cat­ed to SLLC. The idea is to rely on : - Knowl­edge man­age­ment and engi­neer­ing meth­ods to build a gener­ic LCA/PCF mod­el. It will be used also to sup­port process trace­abil­i­ty and the for­mal­iza­tion of expert rules for deci­sion maik­ing along LCA/ECP stud­ies. - Prod­uct Life­cy­cle Man­age­ment (PLM) approach for mul­ti-sources data extrac­tion, includ­ing infor­ma­tion sys­tems, sen­sors or oth­er con­nect­ed objects. Intel­li­gent con­nec­tors will be devel­oped to sup­port the inter­op­er­abil­i­ty of LCA/PCF tools with the dif­fer­ent mod­ules of the com­pa­ny’s dig­i­tal chain. - Big data and machine learn­ing tech­niques for aggre­gat­ing his­tor­i­cal data into rel­e­vant KPIs and pre­dict­ing envi­ron­men­tal sus­tain­abil­i­ty behaviors.

    Key­words : Life­cy­cle Assess­ment, Prod­uct Car­bon Foot­print, Knowl­edge Engi­neer­ing, AI and machine learn­ing, Interoperability