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Noca Flavio

Professeur HES associé

Hauptkompetenzen

Professeur HES associé

Telefon-Nummer: +41 22 558 56 59

Büro: CR15

Haute école du paysage, d'ingénierie et d'architecture de Genève
Rue de la Prairie 4, 1202 Genève, CH

Bereich
Technique et IT

Hauptstudiengang
Génie mécanique

Institut
inTECH - Institut d’ingénierie industrielle et informatique

Génie Mécanique / Physique - Ecole Polytechnique Fédérale de Lausanne

Mécanique des Ecoulements Compressibles

BSc HES-SO en Génie mécanique - Haute école du paysage, d'ingénierie et d'architecture de Genève

Aérodynamique
Ecoulements compressibles
Mécanique des Fluides

Laufend

Measurement and Replication of Drone-Scale Atmospheric Turbulence in a Simulator of Autonomous Flight Environments (SAFE) for Drone Certification

Rolle: Hauptgesuchsteller/in

Financement: BRIDGE ( SNF & Innosuisse)

Description du projet :

Drones will soon ll our aerial ecosystem in the eld imaging/cartography, parcel delivery (La Poste,
Amazon), and passenger transport (Uber Elevate). Drones will need to operate around the clock in
arbitrary atmospheric conditions, especially in adverse weather conditions during emergency situations.
In cities, they will be required to overcome urban canyon as well as road vehicle turbulence. At higher
altitudes, winds can be unpredictable: drones are much smaller than conventional aircraft and are thus
more sensitive to weather conditions.
Today, traditional drone testing techniques are of poor quality and do not reflect conditions that may
be encountered in real world applications. Test drones are either own outdoors in not well documented,
uncontrolled and unpredictable weather conditions (and quite remote from the observer), or tightly
strapped onto a support in a conventional wind tunnel with laminar and uniform wind ows. Such wind
flows have been devised for conventional aircraft and they are inadequate representations of atmospheric
conditions relevant to drones. In summary, existing tests entail a high risk of reaching false conclusions
about drone performance and introduce additional risks on drone design that may lead to catastrophic
situations.
We have submitted a proposal to the Federal Office of Civil Aviation (FOCA) to develop drone
certication protocols in a controlled environment, using a Simulator of Autonomous Flight Environments
(SAFE) based on a multifan wind facility commercialized by a Swiss company, WindShape. The wind
facility consists of an array of a large number of fans that may be arranged in various patterns on
demand. SAFE will subject drones to winds of variable intensity and direction (as well as various
weather conditions such as rain, snow, hail, fog etc.) that re ect real world situations. These tests would
then rate drones according to their capacity in maintaining a proper flight attitude and tackling flight
perturbations in an urban, countryside, or high altitude environment.
In order to achieve these goals, SAFE needs to replicate real environmental conditions. In this context,
two key steps need to be undertaken: 1. supply this facility with actual atmospheric turbulence data at
drone scales (in particular, those encountered in an urban environment), and 2. develop a methodology
to reproduce these ows in a multifan facility. The objective of this Bridge proposal is to achieve these
two steps by :
1. Collecting actual urban turbulence data using a facility (motus.epfl.ch) installed at the Ecole Polytechnique
Fédérale de Lausanne: a meteorological mast, instrumented with sonic anemometers
with high sampling frequency, which provides wind intensity and direction in an urban setup;
2. Training thousands of fans in a WindShape facility to produce given 3D flows in space and time,
using Machine Learning algorithms and a vast experimental data set collected within the facility.
Ultimately, the facility will be able to generate realistic atmospheric flowfields and in particular,
genuine urban wind turbulence. SAFE will be the first ever facility in the world to ensure drones
airworthiness according to their capacity in staying aloft in given wind and weather conditions. The
infrastructure (hardware), the flowfields (software), as well as the testing and certication procedure
(processes) can then be commercialized worldwide, either as a service or as a franchise.

Forschungsteam innerhalb von HES-SO: Noca Flavio

Partenaires académiques: Koumoutsakos Petros, ETHZ; Mauree Dasaraden, EPFL

Durée du projet: 01.01.2020 - 31.12.2022

Montant global du projet: 1'000'000 CHF

Statut: Laufend

2023

Boundary layer tuning using PIV data in an open-jet multi-fan facility for ground-effect research

Wissenschaftlicher Artikel ArODES

Cyprien de Sepibus, Flavio Noca

Proceedings of the 15th International Symposium on Particle Image Velocimetry (ISPIV) 2023, 19-21 June 2023, San Diego, CA, USA,

Link zur Publikation

Zusammenfassung:

A finite-span wing is tested for ground-effect aerodynamics in a multi-fan open jet facility over a stationary ground. A multi-fan facility enables a fine control of the ground boundary layer morphology through a suitable modulation of each individual fan speeds. Particle Image Velocimetry (PIV) is used to quantify the boundary layer growth: an iterative process is then used between the PIV measurements and the fan speeds until the desired boundary layer profile is reached. An adequately-shaped plate leading edge has also contributed to a satisfactory boundary layer profile. The open jet configuration makes a proper PIV seeding difficult to achieve. A suitable seeding device and data acquisition methodology has been developed. PIV was finally used to characterize the flow around an airfoil close to the ground. The results give some remarkable insights onto the mechanisms occurring in ground effect.

2020

Bioinspired wing and tail morphing extends drone flight capabilities

Wissenschaftlicher Artikel ArODES

Enrico Ajanic, Mir Feroskhan, Stefano Mintchev, Flavio Noca, Dario Floreano

Science Robotics, 2020, vol. 5, no. 47, article no. eabc2897

Link zur Publikation

Zusammenfassung:

The aerodynamic designs of winged drones are optimized for specific flight regimes. Large lifting surfaces provide maneuverability and agility but result in larger power consumption, and thus lower range, when flying fast compared with small lifting surfaces. Birds like the northern goshawk meet these opposing aerodynamic requirements of aggressive flight in dense forests and fast cruising in the open terrain by adapting wing and tail areas. Here, we show that this morphing strategy and the synergy of the two morphing surfaces can notably improve the agility, maneuverability, stability, flight speed range, and required power of a drone in different flight regimes by means of an avian-inspired drone. We characterize the drone’s flight capabilities for different morphing configurations in wind tunnel tests, optimization studies, and outdoor flight tests. These results shed light on the avian use of wings and tails and offer an alternative design principle for drones with adaptive flight capabilities.

2017

Fast motion of heaving airfoils

Wissenschaftlicher Artikel ArODES

Siddartha Verma, Guido Novati, Flavio Noca, Petros Koumoutsakos

Procedia Computer Science, 2017, vol. 108, pp. 235-244

Link zur Publikation

Zusammenfassung:

Heaving airfoils can provide invaluable physical insight regarding the flapping flight of birds and insects. We examine the thrust-generation mechanism of oscillating foils, by coupling two-dimensional simulations with multi-objective optimization algorithms. We show that the majority of the thrust originates from the creation of low pressure regions near the leading edge of the airfoil. We optimize the motion of symmetric airfoils exploiting the Knoller-Betz-Katzmayr effect, to attain high speed and lower energy expenditure. The results of the optimization indicate an inverse correlation between energy-efficiency and the heaving-frequency and amplitude for a purely-heaving airfoil.

Stockage pneumatique sous-marin d'énergie :

Professioneller Artikel ArODES

des réservoirs hydrostatiques installés dans les fonds marins et lacustres : une idée à creuser?

Jacques Richard, Flavio Noca

bulletin.ch = Fachzeitschrift und Verbandsinformationen von Electrosuisse und VSE = Bulletin SEV/AES : revue spécialisée et informations des associations Electrosuisse et AES, 2017, vol. 3, pp. 48-51

Link zur Publikation

Zusammenfassung:

Le stockage de l’énergie aussi bien photovoltaïque qu’éolienne est l’un des défis à relever pour assurer la transition du renouvelable. Le stockage sous-marin d’air comprimé associant échangeurs thermiques et réservoirs hydrostatiques souples installés au fond des lacs offre des éléments de réponse originaux et prometteurs.

Bioinspired morphing wings for extended flight envelope and roll control of small drones

Wissenschaftlicher Artikel ArODES

Matteo Di Luca, Stefano Mintchev, Grégoire Heitz, Flavio Noca, Dario Floreano

Interface Focus, 2017, vol. 7, no. 1

Link zur Publikation

Zusammenfassung:

Small-winged drones can face highly varied aerodynamic requirements, such as high manoeuvrability for flight among obstacles and high wind resistance for constant ground speed against strong headwinds that cannot all be optimally addressed by a single aerodynamic profile. Several bird species solve this problem by changing the shape of their wings to adapt to the different aerodynamic requirements. Here, we describe a novel morphing wing design composed of artificial feathers that can rapidly modify its geometry to fulfil different aerodynamic requirements. We show that a fully deployed configuration enhances manoeuvrability while a folded configuration offers low drag at high speeds and is beneficial in strong headwinds. We also show that asymmetric folding of the wings can be used for roll control of the drone. The aerodynamic performance of the morphing wing is characterized in simulations, in wind tunnel measurements and validated in outdoor flights with a small drone.

2024

Large-scale vortex generation (and bursting) using windshapers

Konferenz ArODES

Flavio Noca, Julien Reymond, Aurélien Walpen, Guillaume Catry

Proceedings of the AIAA SCITECH 2024 Forum, 8-12 January 2024, Orlando, FL, USA

Link zur Konferenz

Zusammenfassung:

Vortical structures have been a topic of interest in fluid dynamics for a long time and are present at every scale. With the recent growing interest in Advanced Air Mobility (AAM), the need to test these vehicles in such wind structures has grown as well. A large-scale vortex is being generated using multiple windshapers (multi-fan wind facilities) set at an angle with respect to each other. The high Reynolds number vortex is being investigated numerically and experimentally. The findings indicate that the vortex axial velocity exhibits a similar pattern as seen in the vortex breakdown phenomenon commonly appearing in swirling flows. The capability of modifying the inlet tangential and axial air-flow conditions in the experiments makes it possible to show that the occurrence of the vortex breakdown depends on the ratio between the rotational and the axial volume fluxes and occurs at a definite critical value. Furthermore, no hysteresis was found in contrast to low Reynolds numbers vortex breakdown.

On the generation of plane compound shear layers with fan-array wind tunnels

Konferenz ArODES

Matteo Di Luca, Malicia Leipold, Flavio Noca

Proceedings of the AIAA SCITECH 2024 Forum, 8-12 January 2024, Orlando, FL, USA

Link zur Konferenz

Zusammenfassung:

Although fan-array wind tunnels (FAWT) can generate complex spatial and temporal flows through their high number of degrees of freedoms, finding the associated control laws has been elusive so far. This study demonstrates that plane compound shear flows with large shears can be generated with FAWT using a simple control law, given the addition of a carefully designed flow management device (FMD). The normalized time averaged axial velocity profile inside the compound shear layer is predicted using an existing solution to the two-dimensional incompressible Navier-Stokes equations in the absence of pressure gradients, i.e. Goertler solution. A semi-empirical model based on this solution was developed to predict the dimensional time averaged axial velocity profiles inside the shear layer. The model combines previous literature experiments with additional PIV and hot wire measurements and shows that when the downstream distance is normalized with a characteristic fan size, i.e. its height, the velocity ratio between adjacent fans is the only additional variable that determines the downstream velocity field. The model was experimentally validated through PIV measurements on a fan-array wind tunnel and allowed to find the boundaries of applicability of the simple control law. The applicability of the simple control law to multiple adjacent compound shear layers was also demonstrated experimentally. Turbulence profiles for different shear ratios are measured through hot wire anemometry to further characterize the shear flows. Although the model was validated using a small scale wind tunnel, the results are expected to be applicable to the control of fan-array wind tunnels of any size.

Design, implementation and validation of a flow management device for fan-array wind tunnels

Konferenz ArODES

Matteo Di Luca, Malicia Leipold, Flavio Noca

Proceedings of the AIAA SCITECH 2024 Forum, 8-12 January 2024, Orlando, FL, USA

Link zur Konferenz

Zusammenfassung:

Although fan-array wind tunnels can generate a wide range of flow configurations, from steady uniform to unsteady shear flows, their control is currently based on iterative procedures and require extensive flow characterization. To simplify the control problem, a novel flow management device architecture is presented. The device preserves the independence of the jets issuing from each square-section inlet fan through the use of individual channels up to the outlet plane. Existing analytical models of mean flow and mesh screens interaction are used to design the device. Moreover, it is shown using literature data and experimental measurements that the downstream flow quality depends on the momentum thickness of the wake issuing from the channel walls inside the device. Momentum thickness is predicted using a boundary layer model, modified to include the presence of mesh screens, and validated through experimental measurements. A configuration with three honeycombs (thickness 15mm, cell size 3.2mm), 4 stainless steel mesh screens (wire diameter, d=0.14mm, and mesh size, M=0.4mm) was retained to achieve the flow quality (i.e. mean flow uniformity and turbulence level) typically required for general aerodynamic testing. Experimental characterization of the flow downstream of the device through hot wire anemometry showed, outside of the wake regions, non-uniformities <3% and unfiltered turbulence levels between 0.45%-0.7% for mean flow velocities of 1.4 and 10 m/s respectively measured at a downstream distance x/H=7.5. The evolution of velocity non-uniformities and turbulence inside the wake issuing from the device walls was shown to follow existing scaling laws. The flow uniformity and boundary layer models validated in the present study are expected to guide the design of flow management devices for fan-array wind tunnels of any size.

2023

Real-scale atmospheric wind and turbulence replication using a fan-array for environmental testing and UAV/AAM validation

Konferenz ArODES

Aurélien Walpen, Guillaume Catry, Flavio Noca

Proceedings of the AIAA SCITECH 2023 Forum, 23-27 January 2023, National Harbor, MD & Online

Link zur Konferenz

Zusammenfassung:

Today, traditional drone testing techniques are of poor quality and do not reflect conditions that may be encountered in real world applications. Drones are either flown outdoors in not well documented, uncontrolled and unpredictable weather conditions (and quite remote from the observer), or tightly strapped onto a support in a conventional wind tunnel with laminar and uniform wind flows. Such wind flows have been devised for conventional aircraft and are inadequate representations of atmospheric conditions relevant to drones. In order to test drones in various and controllable atmospheric conditions, a real weather simulator was developed. The wind and weather facility (windshaper) consists of an array of a large number of fans that may be arranged in various patterns according to need. It subjects drones to winds of variable intensity and direction as well as various weather conditions (such as rain, snow, hail, fog etc.) that reflect real world situations. These tests can rate drones according to their capacity in maintaining a proper flight attitude and tackling flight perturbations in an urban, countryside, or high altitude environment. In order to achieve these goals, a windshaper needs to replicate real environmental conditions. To do so, two key steps are to be undertaken: 1. document actual atmospheric turbulence at drone scales (in particular in an urban environment), and 2. develop a methodology to reproduce these flows in a windshaper. Using a three-component hot-wire anemometer (HWA), a complete flow characterisation of a windshaper has been performed to evaluate the flow modulation capabilites of these new types of wind generating facilities. The HWA was then used to collect a series of high-frequency outdoor measurements on a city rooftop. The measured outdoor velocity time history and its spectral content have then been replicated at actual scale in a windshaper by using an iterative algorithm in the frequency domain.

2022

Development of a free-flight wind test facility featuring a GNSS simulator to achieve immersive drone testing

Konferenz ArODES

Guillaume Catry, Nicolas Bosson, Thierry Bujard, Andy Thurling, Aleksandar Dzodic, Peter Le Porin, Ningshan Wang, Amit K. Sanyal, Mark Glauser, Flavio Noca

Proceedings of AIAA SCITECH 2022 Forum - 2052 Session: Advancements in Test Techniques, Test Processes, and Facility Management III, 3-7 January 2022, San Diego, CA, USA

Link zur Konferenz

Zusammenfassung:

Weather, winds, thermals, and turbulence pose an ever-present challenge to small UAS. These challenges become magnified in rough terrain and especially within urban canyons. As the industry moves towards Beyond Visual Line of Sight (BVLOS) and fully autonomous operations, resilience to weather perturbations will be key. As the human decision-maker is removed from the in-situ environment, producing control systems that are robust will be paramount to the preservation of any Airspace System. Safety requirements and regulations require quantifiable performance metrics to guarantee a safe aerial environment with ever- increasing traffic. In this regards, the effect of wind and weather disturbances on a UAS and its ability to reject these disturbances present some unique concerns. Currently, drone manufacturers and operators rely on outdoor testing during windy days (or in windy locations) and onboard logging to evaluate and improve the flight worthiness, reliability and perturbation rejection capability of their vehicles. Waiting for the desired weather or travelling to a windier location is cost- and time-inefficient. Moreover, the conditions found on outdoor test sites are difficult to quantify and repeatability is non-existent. To address this situation, a novel testing methodology is proposed, combining artificial wind generation thanks to a multi-fan array wind generator (windshaper), coherent GNSS signal generation and accurate tracking of the test subject thanks to motion capture cameras. In this environment, the drone being tested can fly freely, follow missions and experience wind perturbations whilst staying in a modest indoor volume. By coordinating the windshaper, the motion tracking feedback and the position emulated by the GNSS signal generator with the drone’s mission profile, it was demonstrated that outdoor flight conditions can be reliably recreated in a controlled and repeatable environment. Specifically, thanks to real-time update of the position simulated by the GNSS signal generator, it was possible to demonstrate that the drone’s perception of the situation is similar to a corresponding mission being executed outdoor. In this work, the drone was subjected to three distinct flight cases: (1) hover in 2 m s−1 wind, (2) forward flight at 2 m s−1 without wind and (3) forward flight at 2 m s−1 with 2 m s−1 headwind. In each case, it could be demonstrated that by using indoor GNSS signal simulation and wind generation, the drone displays the characteristics of a 20 m move forward, while actually staying stationary in the test volume, within ±1 m. Further development of this methodology opens the door for fully integrated hardware-in- the-loop simulation of drone flight operations.

2021

Flow profiling in a WindShaper for testing free-flying drones in adverse winds

Konferenz ArODES

Flavio Noca, Thierry Bujard, Geshanth Visvaratnam, Guillaume Catry, Nicolas Bosson

Proceedings of AIAA Aviation 2021 Forum, AIAA 2021-2577, Session: Aerodynamic Testing II, 2-6 August 2021, Virtual Event

Link zur Konferenz

Zusammenfassung:

Drones will soon fill our aerial ecosystem in the field of imaging/cartography, parcel delivery, and passenger transport, and will need to operate around the clock in arbitrary atmospheric conditions, especially in adverse weather conditions during emergency situations. Drones are much smaller than conventional aircraft and are thus more sensitive to weather conditions. In order to test drones in various and controllable atmospheric conditions, a real weather simulator was developed. The wind and weather facility (windshaper) consists of an array of a large number of fans that may be arranged in various patterns on demand. It subjects drones to winds of variable intensity and direction as well as various weather conditions (such as rain, snow, hail, fog etc.) that reflect real world situations. These tests can rate drones according to their capacity in maintaining a proper flight attitude and tackling flight perturbations in an urban, countryside, or high altitude environment. For this work, various time-independent flow morphologies are generated with a windshaper and measurements are performed at a certain distance in order to see whether the output at the measurement station matches the input at the surface plane of the windshaper.

2020

Aeroacoustic measurements on a free-flying drone in a WindShaper wind tunnel

Konferenz ArODES

Roberto Putzu, Romain Boulandet, Benjamin Rutschmann, Thierry Bujard, Flavio Noca, Catry Guillaume, Nicolas Bosson

Proceedings of Quiet drones 2020 - International e-Symposium on Noise of UAV and UAS, 19-21st October 2020, Paris, France

Link zur Konferenz

Zusammenfassung:

In the near future, drone usage in inhabited areas is expected to grow exponentially. The inherent noise generated is one of the concerns for this kind of vehicle. Conventional aeroacoustic wind tunnels can be used to investigate uniform-flow generated noise. Flyers are generally solidly tethered to a sting in these wind tunnels. However, the interaction of complex environmental flows with the drone fans is expected to generate different harmonic content, especially during unsteady maneuvers. Being able to probe the aeroacoustic signature of a free-flying drone in a realistic urban and wind environment is a necessity, in particular for future certification procedures. We have developed a new family of wind tunnels, the “WindShaper” (Noca et al. 2019 Wind and Weather Facility for Testing Free-Flying Drones, AIAA Aviation Forum), able to generate complex unsteady flows reproducing environmental gusts and shear flows. The WindShaper consists of an array of a large number of fans (wind-pixels) that may be arranged in various patterns on demand. It is in some ways a digital wind facility that can be programmed to generate arbitrary winds of variable intensity and direction. Various weather conditions (such as rain, snow, hail, fog etc.) that reflect real world situations can be introduced. Drones are in a free-flight configuration (untethered) as in their natural state. These tests can rate drones according to their capacity in maintaining a proper flight attitude and tackling flight perturbations, especially in an urban environment. A WindShaper was modified in order to allow aeroacoustic measurements around a freeflying drone in a turbulent flow. Particular attention was given to a design that allows the drone aeroacoustic signature to be segregated from the aeroacoustic signature of the multi-fan facility. Details on the results achieved in this new infrastructure will be presented and discussed.

2019

Wind and weather facility for testing free-flying drones

Konferenz ArODES

Flavio Noca, Guillaume Catry, Nicolas Bosson, Sergio Márquez, Albéric Gros

Proceedings of AIAA Aviation and Aeronautics Forum and Exposition, 17-21 June 2019, Dallas, Texas, USA

Link zur Konferenz

Zusammenfassung:

Drones will soon fill our aerial ecosystem in the field of imaging/cartography, parcel delivery, and passenger transport, and will need to operate around the clock in arbitrary atmospheric conditions, especially in adverse weather conditions during emergency situations. Drones are much smaller than conventional aircraft and are thus more sensitive to weather conditions. Today, traditional drone testing techniques are of poor quality. Drones are either tested outdoors quite remote from the observer, in not well documented, uncontrolled and unpredictable weather conditions, or tightly strapped onto a support in a conventional wind tunnel with laminar and uniform wind flows, which are inadequate representations of atmospheric conditions relevant to drones. Existing tests, thus, entail a high risk of reaching false conclusions about drone performance. In order to resolve the issues associated with traditional wind tunnels or outdoor testing protocols, a real weather simulator for testing flying vehicles in various and controllable atmospheric conditions was developed. The wind and weather facility consists of an array of a large number of fans that may be arranged in various patterns on demand. It subjects drones to winds of variable intensity and direction as well as various weather conditions (such as rain, snow, hail, fog etc.) that reflect real world situations. These tests can rate drones according to their capacity in maintaining a proper flight attitude and tackling flight perturbations in an urban, countryside, or high altitude environment.

2016

Le stockage pneumatique d'énergie électrique au fond des lacs ou des mers

Konferenz ArODES

Flavio Noca, Jacques Richard, Jalil Badaoui

Actes de la 4ème édition de la Conférence Francophone sur l'Eco-conception et le développement durable en Génie Electrique (CONFREGE 2016), 27-29 juin 2016, Genève, Suisse

Link zur Konferenz

Zusammenfassung:

Depuis quelques années, l'augmentation de la part des énergies éolienne et solaire se heurte au problème de la synchronisation entre la production (lorsqu'il y a du vent, du soleil, etc.) et la consommation. Dans le contexte actuel, l'augmentation de l'utilisation de ces sources d'énergie ne pourra se faire que par la mise à disposition de lieu de stockage. Plusieurs voies s'offrent à ce jour. Il y a les batteries électriques, le pompage dans les barrages hydrauliques, la production d'hydrogène, etc. Une voie très intéressante et très peu exploitée est la compression d'un gaz largement disponible partout : l'air. Différents systèmes de CAES (Compressed-Air-Energy-Storage) ont été étudiés et certains mis en pratique (p.ex stockage haute pression en surface). Les principes de ces différents systèmes seront ici résumés ; celui associant un échangeur thermique et réservoir hydrostatique souple installé au fond d’un lac ou de la mer sera discuté plus en détail. Ce type de stockage d’énergie comporte nombre d’avantages: de grands volumes sont disponibles; le rendement thermodynamique de compression/décompression est élevé, les atteintes au paysage sont très faibles voire nulles. Le profil environnemental de ce type de stockage sera également présenté et discuté – en référence à d’autres technologies plus standards.

Errungenschaften

2016

Souffleries Pixelisées / Digitales

2016 ; Technologie

Collaborateurs: Noca Flavio

Link zur Errungenschaft

Invention des souffleries digitales permettant de tester, développer, et certifier des drones dans des conditions réelles de vent.

Sans date

Certification de drones

2024 ; Technologie

Collaborateurs: Noca Flavio

Méthode de certificatin de drones

Météorologie urbaine

2024 ; Science

Collaborateurs: Noca Flavio

Météo pour drones

River Rover - Drone Flottant

2024 ; Technologie

Collaborateurs: Noca Flavio

Drone environnemental

Drone humanitaire

2024 ; Technologie

Collaborateurs: Noca Flavio

Drone à effet de sol utilisant les rivières et fleuves comme Autoroutes Bleues

PEOPLE@HES-SO
Verzeichnis der Mitarbeitenden und Kompetenzen

Noca Flavio

Professeur HES associé

Hauptkompetenzen

Drone

Aeronautics

Aerodynamics

Microfluidics

Professeur HES associé

PEOPLE@HES-SO Verzeichnis der Mitarbeitenden und Kompetenzen

Noca Flavio

Professeur HES associé

Hauptkompetenzen

Drone

Aeronautics

Aerodynamics

Microfluidics

Professeur HES associé

PEOPLE@HES-SO
Verzeichnis der Mitarbeitenden und Kompetenzen