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Numerical-experimental evaluation and modelling of aerodynamic ground effect for small-scale tilted propellers at low Reynolds numbers

Abstract

In recent years, aerial manipulators with fully-actuated capabilities are gaining popularity for being used in aerial manipulation operations such as critical infrastructure inspection or aerial manipulation tasks. Those scenarios usually demand the aerial platform to operate in constrained and narrow scenarios. It is well known that in these situations, the interaction of the wake generated by the propellers with the environment can significantly alter and change the performance of the rotors. Most studies have addressed this problem by considering the ground effect in hover conditions or during the landing maneuver for co-planar multirotor. However, few works analyze the behaviour of tilted rotors, which are used in fully actuated multirotor configurations thanks to their omnidirectional motion capabilities. This paper presents a numerical-experimental evaluation of the aerodynamic ground effect for small-scale tilted propellers at low Reynolds numbers. This aerodynamic effect has been experimentally evaluated through an extensive testing campaign in a testbench designed for this purpose which has been complemented by a CFD-based study. CFD results have been validated through a mesh independence study and a CFD-experimental propeller performance comparison. A numerical model has been also proposed to capture the dependence of thrust with distance to the ground and angle of inclination between the propeller and ground planes. We demonstrate that the proximity to the ground of tilted rotors decreases the thrust increment due to the ground effect as the tilt angle (θ) increases. This means that Cheeseman's classical theory is inapplicable, as it only considers the distance from the ground without reference to how the thrust increment changes with the tilt angle. This outcome enables future aerial robotic applications that strongly demand accurate aerodynamic effect models to operate close to obstacles and narrow environments.

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Numerical-experimental evaluation and modelling of aerodynamic ground effect for small-scale tilted propellers at low Reynolds numbers

Author: Garófano Soldado, Ambar; Sánchez Cuevas, Pedro Jesús; Heredia Benot, Guillermo; Ollero Baturone, Aníbal
Publisher: Elsevier
Year: 2022
DOI: 10.1016/j.ast.2022.107625
Source: https://idus.us.es/bitstreams/34045ce9-837b-423c-965e-b741a0fd0350/download
Ae ospace Science and Technology 126 (2022) 107625
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Ae ospace Science and Technology
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Nume ical-expe imen al e alua ion and modelling o ae odynamic
g ound e ec o small-scale il ed p opelle s a low Reynolds numbe s
Amba Ga o ano-Soldado a,∗, Ped o J. Sanchez-Cue asa,b, Guille mo He ediaa,
Anibal Olle oa
aGRVC Robo ics Lab Se ille, Uni e si y o Se ille, Spain
bSpace Robo ics Resea ch G oup, SnT, Uni e si y o Luxembou g, Luxembou g
a i c l e i n o a b s a c
A icle his o y:
Recei ed 1 Feb ua y 2022
Recei ed in e ised o m 25 Ap il 2022
Accep ed 7 May 2022
A ailable online 11 May 2022
Communica ed by Damiano Casalino
Keywo ds:
Ae odynamic E ec
Ae ial Robo
UAV
CFD
P opelle
In ecen yea s, ae ial manipula o s wi h ully-ac ua ed capabili ies a e gaining popula i y o being used
in ae ial manipula ion ope a ions such as c i ical in as uc u e inspec ion o ae ial manipula ion asks.
Those scena ios usually demand he ae ial pla o m o ope a e in cons ained and na ow scena ios. I
is well known ha in hese si ua ions, he in e ac ion o he wake gene a ed by he p opelle s wi h
he en i onmen can significan ly al e and change he pe o mance o he o o s. Mos s udies ha e
add essed his p oblem by conside ing he g ound e ec in ho e condi ions o du ing he landing
maneu e o co-plana mul i o o . Howe e , ew wo ks analyze he beha iou o il ed o o s, which
a e used in ully ac ua ed mul i o o configu a ions hanks o hei omnidi ec ional mo ion capabili ies.
This pape p esen s a nume ical-expe imen al e alua ion o he ae odynamic g ound e ec o small-
scale il ed p opelle s a low Reynolds numbe s. This ae odynamic e ec has been expe imen ally
e alua ed h ough an ex ensi e es ing campaign in a es bench designed o his pu pose which has been
complemen ed by a CFD-based s udy. CFD esul s ha e been alida ed h ough a mesh independence
s udy and a CFD-expe imen al p opelle pe o mance compa ison. A nume ical model has been also
p oposed o cap u e he dependence o h us wi h dis ance o he g ound and angle o inclina ion
be ween he p opelle and g ound planes. We demons a e ha he p oximi y o he g ound o il ed
o o s dec eases he h us inc emen due o he g ound e ec as he il angle (θ) inc eases. This means
ha Cheeseman’s classical heo y is inapplicable, as i only conside s he dis ance om he g ound
wi hou e e ence o how he h us inc emen changes wi h he il angle. This ou come enables u u e
ae ial obo ic applica ions ha s ongly demand accu a e ae odynamic e ec models o ope a e close o
obs acles and na ow en i onmen s.
©2022 The Au ho (s). Published by Else ie Masson SAS. This is an open access a icle unde he CC BY
license (h p://c ea i ecommons.o g/licenses/by/4.0/).
1. In oduc ion
Unmanned Ae ial Vehicles (UAVs) and Mic o Ai Vehicles
(MAVs) a e significan ly inc easing hei applica ion ange [1]. Typ-
ically, hese ae ial obo s ha e been used as flying senso s o
pe o m pe cep ual asks such as emo e su eillance and econ-
naissance [2,3], isual inspec ion o la ge in as uc u es [4,5]o
filming ac i i ies [6,7]. Howe e , eme ging applica ions such as
package deli e y [8], con ac inspec ions [9,10], wa ehouse in en-
o y [11] and, in gene al, ae ial obo ic manipula ion ope a ions
[12] equi e hese o o c a s o fly close o obs acles and objec s
o wi hin na ow en i onmen s. P opelle s ope a ing nea obs a-
cles expe ience di e en ae odynamic e ec s. This cons ains he
*Co esponding au ho .
E-mail add ess: aga [email p o ec ed] (A. Ga o ano-Soldado).
ee de elopmen o he o o wake and dis u bs he p opelle pe -
o mance [13].
The g ound e ec on helicop e s has been s udied since he
1930s [14] o cha ac e ise he ho e ing ae odynamic pe o mance
[15]. In 1937, Be z [14]p oposed a heo e ical model based on e-
placing he helicop e o o by a sink and applying he me hod o
images. Knigh e al. [16] conside ed wo cylind ical o ex shee s
loca ed a a dis ance o 2zo equal s eng h and opposi e di ec ion.
In 1947, Zb ozek [17] analysed he g ound e ec expe imen ally.
La e , Cheeseman and Benne [18] ound ha he flow pa e n
o a o o in he icini y o he g ound was be e ma ched wi h
a sou ce. Thus, [18]used blade elemen heo y and he me hod
o images o model he inc ease in h us expe ienced by a o o
ope a ing close o he g ound unde di e en condi ions. Cheese-
man and Benne ’s model is ypically used because i allows esul s
o be ob ained wi h high accu acy compa ed o expe imen al e i-
dence o la ge p opelle s such as helicop e s o MAVs. In addi ion,
h ps://doi.o g/10.1016/j.as .2022.107625
1270-9638/©2022 The Au ho (s). Published by Else ie Masson SAS. This is an open access a icle unde he CC BY license (h p://c ea i ecommons.o g/licenses/by/4.0/).
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Nomencla u e
θTil angle o he p opelle ela i e o he g ound . deg
zG ound dis ance om p opelle hub................ m
αAngle o a ack o a blade......................... deg
βBlade pi ch angle................................... deg
φInflow angle........................................ deg
UResul an eloci y o a blade sec ion.............. m/s
UTTangen ial componen o eloci y in a blade
sec ion............................................. m/s
UPNo mal componen o eloci y in a blade sec ion m/s
Re Reynolds numbe
ρAi densi y...................................... kg/m
3
μAi dynamic iscosi y........................... kg/ms
VωRo a ional eloci y................................. m/s
Angula eloci y.................................. ad/s
R75% P opelle adius a 3/4 o he cen e o o a ion.... m
c75% P opelle cho d a 3/4 o he cen e o o a ion.... m
Fx,Fy,FzSenso o ce componen s........................... N
Tx,Ty,TzSenso o que componen s....................... Nm
XA,YA,ZAAxes in he absolu e e e ence ame............ m
XB,YB,ZBAxes in he p opelle e e ence ame............ m
CTP opelle h us coefficien
CTxHo izon al componen o he h us coefficien
CTzVe ical componen o he h us coefficien
CQP opelle o que coefficien
RP opelle adius...................................... m
DP opelle diame e ................................... m
ARo o disk a ea..................................... m
2
TP opelle h us ...................................... N
QP opelle o que.................................... Nm
TIGE Th us In-G ound-E ec .............................. N
TOGE Th us Ou -o -G ound-E ec ......................... N
IGE Induced eloci y in g ound e ec ................. m/s
i∞Induced eloci y wi hou g ound e ec ........... m/s
δ iInduced eloci y on he o o caused by he image
o o ................................................ m/s
VhHo e induced eloci y............................ m/s
c(θ) Ta ge unc ion
a0,a1,b1Coefficien s p oposed o he g ound e ec model
βjModel coefficien s calcula ed wi h he g adien de-
scen algo i hm
J(βj)Cos unc ion
hβ(zi,θi)Hypo hesis unc ion
yiTh us a io TIGE/TOGE
sNumbe o samples
γLea ning a e
Ac onyms
CFD Compu a ional Fluid Dynamics
ESC Elec onic S abili y Con ol
IGE In-G ound-E ec
MAVs Mic o Ai Vehicles
MRF Mul iple Re e ence F ame
OGE Ou -o -G ound E ec
RANS Reynolds A e age Na ie -S okes
SST Shea S ess T anspo
UAVs Unmanned Ae ial Vehicles
BET Blade Elemen Theo y
he o mula ion o his model is ela i ely simple and depends only
on he adius o he o o (R) and he dis ance be ween he p o-
pelle and he g ound plane (z). O he ope a ing condi ions, such
as o wa d fligh , we e conside ed [18–20]. Since he fi s expe -
imen al es s by Zb ozek [17], some g ound e ec models ha e
been de i ed om expe imen al e idence. Hayden (1976) [21]p o-
posed an empi ical model o analyse he g ound e ec in ho e ,
which o e p edic s he Cheeseman and Benne model. Then, Cu -
is [22]p esen ed he ae odynamic pe o mance o a helicop e
o o when posi ioned close o he g ound o low ad ance a ios.
O he au ho s ha e ocused on examining he o o wake when i
is cons ained by he p esence o he g ound plane [23–27].
In he las decade, pa icula a en ion has been de o ed o
explo ing he ae odynamic in e ac ions o mul i o o [28–32] and
small scale o o s [33,34]. The e is a need o in-dep h knowledge
o he beha iou o UAVs when app oaching ce ain su aces. In
his way, p oximi y e ec s can be coun e ac ed by inco po a ing a
con olle adap ed o abso b ae odynamic dis u bances [20,35,36].
In addi ion, he easibili y o il ing he p opelle s o a mul i o o o
pe o m asks equi ing di ec con ac be ween he ae ial pla o m
and he en i onmen has been in es iga ed. In [37], a new design
o a ully ac ua ed hexa o o wi h il ing p opelle s was p esen ed
and he applica ion o con ol echniques o aid pla o m s abilisa-
ion. O he wo k has been ca ied ou along he same lines [38],
[39]. The ae odynamic e ec s o il ed o o s a e no conside ed in
hese con ol laws as he e is no ho ough unde s anding o how
he o ces on a o o change wi h inclina ion and dis ance om
he g ound. Fo ins ance, unlike co-plana ae ial manipula o s ha
classically accomplish he manipula ion ope a ion while hey a e
ho e ing (and necessa ily ho izon al), a ully ac ua ed ae ial obo
can pe o m a ho e -fligh while il ing wi h espec o he ho i-
zon al plane. This p esen s a comple ely new casuis y. Acco ding
o [28], he dis u bance ha a ec s a co-plana mul i o o is gene -
a ing a “sa e” beha iou cause i is always gene a ing s abiliza ion
pi ch and oll o ques. Howe e , due o ully-ac ua ed obo s usu-
ally ha e il ed p opelle s and can main ain an inclined ho e ,
he ae odynamic g ound e ec will dis u b he 6DoF, including
he yaw axis. This si ua ion will significan ly impac he s abil-
i y o hese ae ial obo s, hei sa e y, and he defini ion o hei
con ol alloca ion ma ix. Mo eo e , a ully-ac ua ed ae ial manip-
ula o will be a ec ed by his e ec mainly when flying close o
an obs acle and specifically, when accomplishing he manipula-
ion ope a ion. The manipula ion ope a ion is usually when he
accu acy and p ecision needed a e highe . This means ha any dis-
u bance should be conside ed o gua an ee he success and sa e y
condi ions du ing he ope a ion.
Though ex ensi e p e ious wo ks ha e cha ac e ised he ae o-
dynamic pe o mance o la ge and small-scale o o s pa allel o he
g ound, he e is li le wo k on il ed o o s wi h espec o he
g ound o co-plana o o s ope a ing a inclined su aces. Howe e ,
ecen ad ances in ae ial manipula ion p esen he ully-ac ua ed
mul i o o as he op imal candida e o ce ain con ac -based op-
e a ions [40]. These mul i o o ha e ull pose (posi ion and o ien-
a ion) acking capabili ies. Also, could land o ho e e y close
o he g ound o a di e en obs acle, main aining a desi ed angle
wi h he g ound. In 1960, F adenbu gh [41]was he fi s o s udy
he a ia ion o he h us a io o a helicop e and annula je con-
side ing he ae odynamic g ound e ec wi h di e en angles and
heigh s abo e g ound. Xin [42]p oposed an ex ension o he inflow
model o o o s a di e en heigh s abo e an inclined g ound in
ho e ing condi ions. Di e en g ound inclina ions we e analysed.
The esul s we e compa ed wi h he ee- o ex/panel model. They
also ound ha an asymme y in he o o wake appea ed wi h
he g ound angle. Mo e ecen con ibu ions we e epo ed in [43],
2
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Fig. 1. Real and geome ic model o he T-Mo o p opelle - 13 ×4.4.
[44]. Pla ze e al. examined he flow field o a o o in he neigh-
bou hood o an inclined su ace using pa icle image elocime y
(PIV) and uns eady nume ical simula ions. Then, Pasquali e al. [45]
used expe imen al and nume ical echniques o analyse he e o-
lu ion o he o o wake on an inclined and pa allel g ound. The
bounded domain me hod and me hod o images we e employed
and compa ed. Howe e , he e a e no de ailed s udies showing
he h us augmen a ion o a small-scale o o wi h il angle and
dis ance o a pa allel su ace. Acco dingly, nei he heo e ical no
empi ical h us models aking in o accoun inclina ion ha e been
de eloped.
Due o he con inuous de elopmen o compu a ional fluid dy-
namics (CFD) ools, a ious simula ion me hods ha e been con-
side ed in he pas o e alua e he influence o he g ound on a
o o [43,46], [47–49]. Compu a ional Fluid Dynamics is a handy
ool o ep oducing fluid beha iou a ound a p opelle . Al hough
se e al simula ion echniques exis [50], Reynolds A e aged Na ie -
S okes (RANS) models a e less expensi e and a e used o es ima e
ime-a e aged pa ame e s. In ecen yea s, he numbe o in es i-
ga ions on p opelle pe o mance analysis wi h RANS models has
inc eased [46–49,51–58]bo h high and low Reynolds numbe s.
Thei sui abili y wi h expe imen al se s has been p o en in se -
e al wo ks [52,55,58]. Based on p e ious wo k, RANS models a e
conside ed capable o sol ing he p oposed p oblem and will be
used h oughou his analysis. In his ega d, he Mul iple Re e -
ence F ame (MRF) me hod will be used o sol e he 3D p opelle
flows. MRF has been adop ed o examine flows a ound p opelle s
by o he au ho s bo h in ee [51–54] and cons ained en i on-
men [56,59]. Ne e heless, he adequacy o he MRF me hod has
no been p o ed o inclined p opelle s, whe e he flow pa e ns
a e di e en om he co-plana case.
In gene al, his s udy desc ibes he g ound e ec o il ed o o s
using small-scale p opelle s ope a ing a low Reynolds numbe s. So
a , no g ound e ec model has been p esen ed unde hese condi-
ions. Conside ing he g ow h in he field o UAVs, i is necessa y
o analyse and quan i y he e ec s ha may appea when ce ain
asks a e pe o med. In summa y, he con ibu ions o his esea ch
a e lis ed as ollows:
•In es iga ion o he influence o inclina ion o o o (θ) and
dis ance o he g ound (z) o quan i y he h us inc ease. The
findings ha e been benchma ked agains models de eloped in
he pas , highligh ing he need o include he angle θin he
g ound e ec analysis. Indeed, he pa ame e θhas no been
accoun ed o in small-scale p opelle s un il he cu en s udy.
•A comp ehensi e 3D s a iona y CFD simula ion-based s udy
wi h a wide ange o Reynolds numbe s ([0.46 −2.2] ·105)
and p opelle diame e s om 9 o 18 inches. Mo eo e , o o
inclina ions o up o abou 40◦and a ious g ound clea ances
ha e been assumed.
•E alua ion o a CFD-based me hodology o flow simula ion
a ound p opelle s in confined en i onmen s. In pa icula , he
MRF me hod has been applied. Al hough i s eliabili y has
been demons a ed o o o s pa allel o he g ound (see [59]),
he fluid beha iou is dis inc i he o o is il ed. MRF has
been e ified wi h da a om he p opelle manu ac u e in
ee en i onmen s and hen wi h he expe imen al se up un-
de IGE and OGE condi ions. A me hod wi h a low compu a-
ional cos ha allows ob aining adequa e esul s in e en less
ime han he ime equi ed o bench es ing.
•P oposal o fi s g ound e ec model wi h il ed o o s in
small-scale p opelle s is p esen ed o cap u e he dependence
on bo h il angle (θ) and g ound dis ance (z). I has been
de i ed a CFD simula ion da a-d i en model using he g a-
dien descen algo i hm. Fo his pu pose, a modifica ion o
he classical Cheeseman and Benne heo y has been made,
whe e he fi s ha monic o he inflow models has been con-
side ed. The applicabili y o he p oposed model has also been
assessed.
The emainde o he pape is o ganized as ollows. Sec ion 2
de ails he geome y o he di e en p opelle s used h oughou
his s udy, he Reynolds numbe ange, he expe imen al se up
and he undamen als o Compu a ional Fluid Dynamics (CFD). The
compu a ional domain, he bounda y condi ions, and he u bu-
len model a e in oduced. Sec ion 3shows he alida ion o he
CFD me hodology. On he one hand, a g id independence s udy is
p esen ed. On he o he hand, he p opelle pe o mance achie ed
by he p oposed CFD me hodology is e alua ed wi h he manu ac-
u e ’s da a. Sec ion 4is de o ed o p esen ing he g ound e ec
esul s ob ained om bo h he expe imen al se up and nume ical
simula ions. The easibili y o he CFD me hod is discussed. Then,
he flow field isualiza ion is illus a ed o unde s and he change
in o o pe o mance wi h il . In Sec ion 5, a da a-d i en g ound
e ec model wi h il ed o o s is p oposed and alida ed o se -
e al p opelle s. Sec ion 6discusses he applica ions and limi a ions
o he p oposed model. Finally, i d aws he conclusions om he
g ound e ec analysis and gi es ideas o u u e wo k along he
same lines.
2. Ma e ials and me hods
2.1. P opelle geome y
The fi s p opelle selec ed is a small-scale T-Mo o p opelle
wi h a diame e o 13 inches and a pi ch o 4.4 inches. Fig. 1(a) and
Fig. 1(b) p esen bo h he ca bon fib e p opelle used in he expe -
imen al s udy and he 3D geome y o he p opelle employed in
he nume ical analysis espec i ely. Fig. 1also shows a de ail o he
geome y o a blade sec ion acco ding o he blade elemen heo y
(BET). He e, he angle o a ack is defined as α=β−φ, whe e β
is he pi ch angle o he c oss-sec ion and φis he inflow angle,
defined as φ= an−1(Up/UT). Uis he esul an eloci y and de-
pends on he no mal (Up) and angen ial (UT) componen o he
plane o o a ion. In he cu en s udy, ees eam eloci y is no
aken in o accoun as a esul he eloci y Upwill depend only on
he induced eloci ies h ough he disk o o . Mo eo e , he e olu-
3
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Fig. 2. Geome y, cho d and wis angle dis ibu ion o he T-Mo o p opelle -13
×
4.4 used in expe imen al-nume ical analysis.
ion o he cho d and he pi ch angle o he p opelle is shown in
Fig. 2.
Two ex a p opelle s ha e been used o alida e he p oposed
model and e alua e i s applicabili y. These p opelle s a e APC
9x4.4” and one T-Mo o p opelle 18x6.1” (see Fig. 3), he 3D ge-
ome ical model, he dimensions and cho d and wis angle dis i-
bu ions o hese p opelle s a e shown.
2.2. Reynolds numbe ange
This sec ion p esen s he ange o Reynolds numbe s e alua ed
in his wo k. I is known ha in o de o model he flow be-
ha iou a ound a p opelle , he Reynolds numbe , based on he
o a ional speed and he cho d a 3/4 o he adius loca ion, plays
an impo an ole. The pe o mance o a p opelle will change wi h
he Reynolds numbe , as shown in p e ious s udies [60]. Also, he
Reynolds numbe in small-scale p opelle s will be much lowe
han in la ge-scale p opelle s used in helicop e s. The Reynolds
numbe when ees eam eloci y is no aken in o accoun can
be defined as ollows [61]:
Re75% =ρVωc75%
μ(1)
whe e he ai densi y is ρ= 1.225 kg/m3, he dynamic iscosi y
is μ =1.7894 ·10−5kg/ms, he o a ional eloci y is Vω=R75%,
is he angula eloci y, R75% and c75% is he adius and cho d
o he p opelle loca ed a 3/4 cen e o o a ion, espec i ely.
In his s udy, p opelle s a e ope a ing a low Reynolds numbe s
since he maximum alue is 2.2·105[62]. I is well known ha
low Reynolds numbe s a e ela ed o bubble sepa a ion, which is
caused by ad e se p essu e g adien s. Fo low ad ance a ios, a
la ge numbe o c oss-sec ions o he blade a e in a s all condi-
ion. Howe e , Co iolis e ec s, based on he o a ion and he adial
componen o he eloci y, delay he sepa a ion o he bounda y
laye and consequen ly he s all [63].
Table 1defines he Reynolds numbe o each p opelle consid-
e ed in his s udy.
2.3. Expe imen al se up
Fig. 4shows he cus omized es bench used du ing he expe i-
men s in GRVC’s acili ies. I is made up o an aluminum s uc u e
o 1mx 1mx 1mwhe e an Axia80-M20 o ce/ o que senso has
been moun ed. This senso allows measu ing he six componen s
Table 1
Reynolds Numbe o di e en p opelle s conside ed
in his s udy.
P opelle Reynold numbe
APC 9x4.4 (0.46,0.74)·105
T-Mo o 13x4.4 (0.88,1.1)·105
T-Mo o 18x6.1 (1.5,2.2)·105
o o ce and o que wi h a esolu ion o 1/10Nand 1/200Nm, e-
spec i ely. The sensing ange is 500N o he o ces Fx, Fy, 900N
o Fzand 20Nm o Tx, Tyand Tzand he senso equency is
2kHz.
An A duino Mega 2560 is used o con ol he mo o . The mo o
PWM inpu is sen om he compu e o achie e a speed o 6300
e olu ions pe minu e ( pm). Ro a ion speed is measu ed wi h an
ex e nal achome e du ing he expe imen s. The ope a ing ange
o he mo o s used in mul i o o is be ween 50% −60% h o le.
The selec ed speed is wi hin his ange and is a ypical alue o
he mo o and p opelle chosen in his analysis. Las , wo 360W
pa allel powe supplies ha e been used o powe he senso and
he mo o o main ain cons an ol age condi ions in all he expe -
imen s.
A o al o 40 expe imen s has been ca ied ou . Fig. 5shows he
wo pa ame e s conside ed o e alua e he ae odynamic g ound e -
ec . Unlike classical g ound e ec analysis whe e only he g ound
dis ance was aken in o accoun [28,30,32,56], his s udy also con-
side s he ela i e angle be ween he g ound and he p opelle (θ).
In each expe imen , fi e di e en measu emen s ha e been aken
in o de o ake he mean alue. The s anda d de ia ion o he
o ce was calcula ed o each dis ance (z) and angle (θ), eaching a
maximum alue o 0.087Nand a minimum alue o 0.002N. These
esul s show ha he senso is highly accu a e.
The da a collec ion p ocess akes 85 seconds o each es . A
fi s , he mo o is swi ched o o 15 seconds. Then, he p opelle
is o a ing a a cons an speed o 10 seconds. Finally, he mo-
o speed is educed o a minimum speed o 60 seconds o a oid
an inc ease in mo o empe a u e be o e a new es was done. All
expe imen al da a ha e been collec ed in he absolu e e e ence
ame SA, defined by he axes XA, YA, ZA. In addi ion, he body
ame SB= XB, YB, ZBis defined, which can be ob ained by o a -
ing he absolu e e e ence ame SA.
2.4. CFD se ings
Compu a ional fluid dynamics me hods a e ypically used o
analyze p opelle pe o mance and unde s and o ex gene a ion
mechanisms. Fo ha , he fini e olume me hod is used whe e he
Reynolds A e aged Na ie -S okes (RANS) equa ions a e sol ed on
an uns uc u ed mesh. The incomp essible flow simplifica ion is
pe o med.
Acco ding o he li e a u e [51–55,59,64], he e a e wo main
CFD echniques o simula e o o a ing flows: he mul iple e e -
ence ame (MRF) and he sliding mesh me hods. MRF is a s eady-
s a e app oach. I di ides he domain in o se e al zones: a s a-
iona y zone, whe e he equa ions will be applied in a s a iona y
ame, and a zone assigned o a o a ional eloci y ela i e o he
p opelle axis. These zones lead o he appea ance o an in e ace
ha allows in o ma ion o be exchanged be ween he s a iona y
zone and he o a ional zone. In con as o o he au ho s [49],
his analysis conside s he classical mul i-zone MRF me hod. On
he con a y, he sliding mesh me hod conside s he p opelle ’s
mo ion a each ime-s ep and p o ides a ime-dependen solu ion.
The compu a ional domain is defined simila ly o he MRF me hod.
In many cases, he ou pu o he MRF me hod is aken, in ac , as
he ini ial condi ion o he sliding mesh me hod. While he appli-
4
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Fig. 3. Geome y, cho d and wis angle dis ibu ion o he p opelle s used o alida e he p oposed g ound e ec model. Le ) APC p opelle -9
 ×4.4 used o alida e he
p oposed g ound e ec model. Righ ) T-Mo o p opelle -18
 ×6.1.
Fig. 4. Tes bench designed a Robo ic, Vision, and Con ol G oup (GRVC) o s udy g ound e ec wi h single il ed o o s. The s uc u e is mo ed o loca e he p opelle ’s
cen e o o a ion a di e en dis ances om he wall (z). The inclina ion o he mo o (θ) is achie ed by using inclined p in ed plas ic pa s.
Fig. 5. Absolu e e e ence ame XA, YA, ZAand e e ence ame on blade axes XB,
YB, ZBo he p opelle and a iables es ed in he g ound e ec in es iga ion.
ca ion o ansien echniques usually p oduces be e esul s, he
compu a ional e o is p ohibi i ely high.
This pape uses MFR due o i s simplici y, as ness, and ai ac-
cu acy. This me hod allows o analyse o he fluid flow a ound a
p opelle when i is close o he g ound wi hou he p esence o
ex e nal dis u bances. In he pas , o he au ho s ha e analyzed he
small and la ge scale p opelle pe o mance wi h his me hod in
bo h ee and confined en i onmen s [48,49,51,53,56]. Howe e , as
a il ed p opelle app oaches he g ound, he in e ac ion o he o-
o wake wi h he g ound su ace causes an asymme ic pa e n
ha becomes mo e no iceable as he il inc eases [42]. As a con-
sequence, i is necessa y o ensu e ha his s a iona y app oach
(MRF) allows modelling he flow beha iou o ob ain he small-
scale p opelle pe o mance. Sil a e al. show how he MRF me hod
is able o p edic he wake b eakdown and ing o ex using un-
s uc u ed meshes. Howe e , unde IGE condi ions, i is a challenge
o cap u e hese o ical s uc u es accu a ely [49].
Fig. 6shows he compu a ional domain se up o simula e he
g ound e ec wi h a il ed p opelle . I has h ee di e en domains.
An ex e nal s a iona y domain wi h a diame e o 20R, a cylind i-
cal inne domain wi h a diame e o 5R, and a o a ing domain
o enclose he p opelle . The inne domain allows a mesh ansi-
ion in o de o cap u e he fluid flow beha iou accu a ely. In his
domain, a flow wi h a o a ional speed o 6300RPM is induced.
The o a ional domain and he p opelle a e o a ed a an angle θ
wi h espec o he g ound. The e ical dis ance om he cen e
o o a ion o he p opelle o he g ound plane is defined as z.
The dimensions o he inne and ou e domains change o each z
alue. The e o e, a pa ame ic analysis has been pe o med whe e
5

A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Fig. 6. Compu a ional domain specified o analyse he g ound e ec on il ed o o s. The p opelle is placed a a heigh z = 1R wi h espec o he g ound. The bounda y
condi ion adop ed o e alua e he ae odynamic pe o mance is gi en.
he pa ame e s θand za e changed. This will gene a e a specific
geome y and mesh o each configu a ion.
The comme cial so wa e ANSYS-Fluen has been used o he
calcula ions. The p essu e-based coupled algo i hm is used o sol e
he momen um and he p essu e-based con inui y equa ions. The
coupled algo i hm significan ly educes he numbe o i e a ions
equi ed o con e ge. Howe e , he compu a ional ime is in-
c eased compa ed wi h a seg ega ed algo i hm, whe e each a i-
able is sol ed sequen ially. G een-Gauss Node-Based G adien is
employed o disc e ise he di usi e and con ec i e e ms o he
conse a ion equa ion. The second-o de scheme is chosen o Tu -
bulen Kine ic Ene gy (k), Specific Dissipa ion Ra e (ω), and p es-
su e in e pola ion. The u bulence model used o sol e he p ob-
lem is he shea s ess anspo (SST) k −ω u bulence model p o-
posed by Men e [65]. I combines he k −model in he emo e
egion om he wall and he k −ωmodel in he nea -wall e-
gion using blending unc ions. This is defined wi h wo equa ions,
one o he Tu bulen Kine ic Ene gy (k)and one o he Specific
Dissipa ion Ra e (ω). Due o he Reynolds numbe ange (see sec-
ion 2.2) in which u bulen flows a e ound, i is conside ed ha
he SST k-w model should be applied [52]. The SST k −ω u bu-
lence model has been used by o he au ho s o analyze he ae o-
dynamic pe o mance o small-scale p opelle s [53–55,57,58,66].
Mo eo e , he simula ions esul s we e compa ed wi h expe imen-
al da a ob aining a sa is ac o y ag eemen [52,55,58]. The u -
bulen in ensi y is se as 0.1%. This alue has been achie ed by
aking measu emen s in an emp y wind unnel o all ope a ing
condi ions [60,67]. Loga i hmic wall unc ions a e used o sol e
he bounda y laye . In ecen wo k, his app oach has been con-
side ed in he nea -wall egion [52]. Addi ionally, a ull g ound
e ec case wi h a 20 deg ee inclina ion has been simula ed wi h
he Realizable k-e u bulence model. This u bulence model was
used by [48] o analyse he s abili y o an ae ial pla o m close o
he g ound plane. The di e ences ound be ween he wo u bu-
lence models a e negligible. Howe e , he compu a ional ime and
he ins abili y o he solu ion wi h he Realizable k −model a e
inc easing.
Fig. 6shows he bounda y condi ions. In he uppe bounda y,
he inle is defined as a p essu e inle whe e he o al gauge p es-
su e is se o 0Pa. The ou le is se in he la e al bounda y o he
cylind ical domain as a p essu e ou le wi h gauge p essu e 0Pa.
The g ound plane and he p opelle a e defined as non-slip walls.
Be ween he o a ional and s a iona y domains, in e aces a e gen-
e a ed ha allow he sepa a ion o he wo domains. An absolu e
eloci y o mula ion has been used in his analysis, i.e. he equa-
ions a e sol ed in each sub-domain. The e o e, no ans o ma ion
is needed a he in e ace.
This nume ical analysis is di ided in o wo pa s: fi s , he sim-
ula ion esul s will be compa ed wi h he expe imen al esul s o
alida e he defined CFD model. Thus, he angles analysed by sim-
ula ion will be: 0◦, 10◦, 20◦and 30◦and dimensionless heigh s
z/R =0.6, 0.75, 1, 1.5, 1.5, 2, 2.5, 3, 3.5, 4, 5. Second, when i
is e ified ha he CFD model accu a ely fi s he expe imen al e-
sul s, his model will be ex ended o ob ain esul s o o he il
angles such as 5◦, 15◦, 25◦, 35◦and 40◦. Fo angles g ea e han
25◦, i has no been possible o ob ain esul s o heigh s less han
z = 0.75R as he cylind ical o a ional domain in e sec s wi h he
g ound plane. A o al o 87 simula ions has been ca ied ou o
cha ac e ise he ae odynamics g ound e ec wi h il ed o o s.
3. CFD alida ion
3.1. Mesh e alua ion
A mesh independence s udy was conduc ed o ensu e ha he
solu ion does no depend on he mesh size. This p ocess allows
defining a mesh wi h enough quali y o achie e eliable and accu-
a e esul s, minimise compu a ional ime and achie e good con-
e gence o he solu ion. In his analysis, ou di e en meshes
ha e been c ea ed whe e he cell size loca ed on he su ace o
he p opelle , he cell size o he p opelle leading edge and he
sizes o in e aces ha e inc eased om mesh 1 o mesh 4. Addi-
ionally, au oma ic mesh efinemen is applied. Fig. 7shows he
ou defined g ids in he o a ional domain and Table 2shows he
numbe o nodes and elemen s in each o he domains and in e -
aces gene a ed. As can be seen, Mesh 1 and 2a e coa se wi h
1.06 y 2.2 million elemen s espec i ely, while Mesh 3 and 4a e
fine wi h 3.3 and 4.8 million espec i ely. In all cases, uns uc-
u ed meshes we e made wi h a efinemen in he leading edge
o he p opelle and in he wake egion. This s udy was ca ied
ou o a 20 deg ee il angle and o a heigh z=1R. In o de o
e alua e he accu acy o each mesh, he esul s o he h us and
o que coefficien o he p opelle we e calcula ed acco ding o:
CT=T
ρA2R2(2)
6
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Fig. 7. On he le -hand side, defini ion o ou di e en meshes (Mesh 1: coa se, Mesh 2: medium, Mesh 3: fine, Mesh 4: e y fine) o he o a ional domain. On he
igh -hand side, mesh chosen o he comple e compu a ional domain.
Table 2
Numbe o elemen s and nodes in he s a iona y, o a ional domain and a he in e ace sepa a ing he wo zones o
meshes 1 (coa se), 2 (medium), 3 (fine) and 4 ( e y fine).
Mesh densi ies Ro a ing domain S a iona y domain In e aces To al
Mesh 1 Nodes 13.210 171.549 2.848 184.759
Elemen s 70.166 993.442 12.396 1.063.608
Mesh 2 Nodes 30.653 354.682 27.288 385.335
Elemen s 163.357 2.076.988 136.696 2.240.345
Mesh 3 Nodes 202.980 385.787 80.416 588.767
Elemen s 1.110.512 2.243.860 414.278 3.354.372
Mesh 4 Nodes 440.121 418.441 133.352 858.562
Elemen s 2.409.443 2.421.935 694.222 4.831.378
Fig. 8. Th us and momen coefficien e sus numbe o elemen s (in millions) o
each o he meshes p oposed in he mesh independence s udy. They show he con-
e gence o he solu ion as he mesh is efined.
CQ=Q
ρA2R3(3)
whe e ρis he ai densi y, A is he o o disk a ea (m2), is he
angula speed ( e olu ions pe minu e), T is he h us o he p o-
pelle (N), and Qis he o que o he p opelle (Nm). As can be
seen in Fig. 8, om 3.3 million elemen s onwa d, he esul s ba ely
a y. Be ween mesh 1 and mesh 3, he h us coefficien changes
by 11.63% and o que coefficien by 18.18%, while be ween mesh
Table 3
Elemen size defined in he p opelle and in e aces o
compu a ional domain o mesh 3, which is he bes
choice a e g id independence analysis.
Zone Elemen size (m)
P opelle 0.001
In e aces 0.005
Edge blade 0.0003
3 and mesh 4 he a ia ion o bo h coefficien s is minimum, be-
ing 0.4% o CTand 1.7% o CQ. Fo his eason, mesh 3 is he
bes op ion as i allows ob aining accu a e esul s wi h lowe com-
pu a ional cos s han wha would be achie ed wi h meshes close
o 5 million elemen s. Table 3lis s he size o he selec ed ele-
men o mesh 3 a he p opelle , blade edge, and compu a ional
domain in e aces. The mesh o he selec ed compu a ional domain
is shown on he igh side o Fig. 7. In all cases, he mesh quali y
pa ame e s ha e been e alua ed, ob aining o hogonal quali y al-
ues abo e 0.15 [55]. To ensu e con e gence o he solu ion, he
simula ions i e a e un il he change in p opelle h us is less han
0.01% in he las 1000 i e a ions, whe e he esidual e o s ound
a e smalle han 10−6. Meshes simila o hose p oposed in his
wo k a e c ea ed by [52]. The a e age wall y+ alue in mesh 3
is abou 31. This alue is simila o he one used in [57,68]. Al-
hough he ull ad an ages o he u bulence model a e no being
aken ad an age o , g ea e s abili y and con e gence o he solu-
ion is achie ed han i o he models we e used. On he con a y,
7
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Fig. 9. S a ic pe o mance o he T-Mo o 13x4.4 p opelle o di e en o a ional
speeds ( pm): compa ison o h us and o que coefficien s (CTand CQ) be ween
CFD esul s and manu ac u e ’s da a. P opelle used in expe imen al-nume ical anal-
ysis.
he flow sepa a ion is no accu a ely p edic ed. The minimum ele-
men size ela ed o he wall alue is 1 ·10−4m.
3.2. P opelle pe o mance compa ison
A o al o 22 simula ions has been ca ied ou o alida e ou
CFD esul s. These simula ions ha e assessed he s a ic pe o -
mance o he h ee p opelle s conside ed in his s udy (see sec-
ion 2.1) wi h se en o a ional speeds. Each simula ion was pe -
o med in a ee en i onmen . The s a ic pe o mance esul s ha e
been compa ed wi h he da a p o ided by he manu ac u e T-
Mo o and APC [69,70].
Figs. 9and 10 show he a ia ion o h us and o que coeffi-
cien wi h o a ional speed ( pm) esul ing om bo h CFD simu-
la ions and manu ac u e ’s da a. These coefficien s ha e been ob-
ained by applying Eq. (2) and Eq. (3). I is obse ed ha when he
o a ional speed (and as a consequence he Reynolds numbe ) in-
c eases, he h us coefficien inc eases while he o que coefficien
emains p ac ically cons an . Rega ding he h us coefficien , i is
no ed ha he CFD esul s o e es ima e he da a ound in [69,70]
o he T-Mo o 18x6.1 and APC 9x4.4 p opelle s. In con as , he
CFD o que coefficien is unde es ima ed in all cases. Howe e , he
CTand CQe o s o he h ee p opelle s examined a e less han
5% and 10%, espec i ely. Unde s a ic condi ions, he fideli y o a
o o ’s pe o mance is ela ed o he abili y o cap u e he o ex
s uc u es o he blade ip [51]. Based on he esul s p esen ed in
his sec ion, i is es ablished ha he CFD model is adequa e o
cap u e he o ces on he p opelle in a ee en i onmen . Also, i
is assumed ha he ip flow s uc u es can be p edic ed al hough
no as igo ously as in highe -o de schemes.
4. G ound e ec o small-scale il ed p opelle s
4.1. Expe imen al e alua ion o he CFD-based me hod
This sec ion compa es expe imen al and simula ion esul s
acco ding o he p ocedu es desc ibed in sec ion 2.3 and sec-
ion 2.4 espec i ely. In bo h p ocedu es, he co-plana configu-
a ion, whe e he o o is pa allel o he g ound (θ= 0◦), and h ee
il angles (θ= 10◦, 20◦and 30◦) ha e been analysed. Fu he -
mo e, en dis ances measu ed om he cen e o o a ion o he
p opelle o he wall (z/R =0.6, 0.75, 1, 1.5, 2, 2.5, 3, 3.5, 4, 5)
we e assessed.
Fig. 11 shows he ho izon al and e ical componen s o he
h us coefficien (CTxand CTz) e sus dimensionless g ound dis-
ance (z/R) o each o o il angle (θ). The expe imen al esul s
a e shown in do ed lines and he CFD esul s in dashed lines. In
addi ion, he iangula ma ke indica es he e ical componen o
he o ce, and he ci cula ma ke he ho izon al componen . I can
be seen ha he h us coefficien o he o o inc eases as i ap-
p oaches he g ound in all cases. Howe e , as he angle o inclina-
ion inc eases, he e ical componen o he o ce educes and he
ho izon al componen becomes la ge . The nume ical esul s o e -
p edic he end o he h us coefficien cu e compa ed o he
expe imen al cu es o all angles. An o se is obse ed be ween
he simula ion and expe imen al esul s o each o he configu a-
ions analysed. This o se emains p ac ically cons an om heigh
1.5Ronwa ds. Howe e , he disc epancies be ween simula ed and
expe imen al esul s a e conside ed accep able aking in o accoun
he e o s a ising om bo h me hods o da a collec ion. In Table 4
he oo mean squa e e o (RMSE) be ween he simula ion and
expe imen al esul s o CTz, CTxa e shown.
To in es iga e he g ound e ec , he h us a io TIGE/TOGE is
ypically used, whe e TIGE is he h us In-G ound-E ec and TOGE
is h us Ou -o -G ound-E ec . This a io gi es he pe cen age in-
c ease in h us expe ienced by he o o when he g ound is close.
Acco dingly, in Fig. 12, he h us a io o he expe imen al and
simula ion da a is plo ed e sus he dimensionless dis ance z/R.
Ne e heless, Fig. 11 has been p esen ed o gi e an es ima e o
how each o he o ce componen s a ies.
Fo he case o a o o pa allel o he g ound (θ=0◦) he esul s
a e compa ed wi h Cheeseman and Benne ’s classical helicop e
heo y [18]:
TIGE
TOGE =1
1−R
4z2(4)
The esul s show ha he g ound e ec is negligible when z/R
is app oxima ely g ea e han 2.5. Fo angles 0◦, 10◦and 20◦, he
closes dis ance o he wall is 0.6R. In hese cases, he h us is
inc eased by 13.3%, 9.6% and 8.7%, espec i ely. Fo he 30◦angle,
he minimum dis ance a which simula ions ha e been pe o med
is 0.75R, since he o a ional domain in e e ed wi h he g ound
plane o smalle dis ances. Fo his heigh , he h us inc eases
expe ienced by he o o o angles 0◦, 10◦, 20◦and 30◦would
be 10.4%, 7.8%, 6.1% and 5%, espec i ely. The CFD esul s fi qui e
accu a ely o hose ob ained by expe imen a ion, eaching a maxi-
mum e o o 5.1% o a heigh o 0.6Rand a il o 10◦.
Rega ding he obse ed disc epancies, hey can be a ibu ed o
bo h nume ical and expe imen al e o s. On he expe imen al side,
he e a e se e al sou ces o e o s ha could gene a e his kind o
disc epancy. Fo ins ance, al hough he expe imen s we e ca ied
ou ho oughly, he posi ioning pa allel o he wall o he s uc u e
in Fig. 4is done manually. This could in oduce e o s i a some
dis ance z i is no comple ely pa allel. The ESC used o con ol
he pms o he o o is a COTS ESC. In mos cases, hose con-
ol and egula e he speed o he elec ic mo o by closing he
con ol loop a he cu en measu emen le el. This means ha
he alue o pm could be no exac ly he same as he one we
ha e imposed in he simula ions. The powe supply used du ing
he expe imen is also a low-p ice sys em ha could be sensi i e
o some en i onmen al changes like he empe a u e [51]. Mo e-
o e , conside ing ha he p opelle is placed close o he plas ic
pa s and senso , his could c ea e an ex a in e e ence wi h he
flow field. Howe e , i has been e ified ha he e is no in e e -
ence o he es bench on he p opelle . Fo his pu pose, a e
8
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
Fig. 10. S a ic pe o mance o he T-Mo o 18x6.1 and APC 9x4.4 p opelle s o di e en o a ional speeds ( pm): compa ison o h us and o que coefficien s (CTand CQ)
be ween CFD esul s and manu ac u e ’s da a. P opelle s used o alida e he p oposed g ound e ec model.
Fig. 11. Ve ical and ho izon al componen o he h us coefficien e sus z/R dimensionless dis ance o angles 0◦, 10◦, 20◦and 30◦de i ed by expe imen and CFD
simula ions.
Table 4
RMSE o he p oposed CFD me hodology o e ical and ho izon al componen o he h us coefficien conside ing angles 0◦, 10◦, 20◦and 30◦.
Angle Coefficien s 0.6 0.75 1 1.5 2 2.5 3 3.5 4 5
0◦CTx7.27e-06 7.25e-06 6.63e-06 4.37e-06 2.90e-06 3.30e-06 2.31e-06 1.27e-06 1.70e-06 1.40e-06
CTz8.56e-05 9.49e-05 2.25e-05 1.58e-05 4.04e-05 3.84e-05 4.68e-05 3.92e-05 4.83e-05 3.60e-05
10◦CTx1.30e-05 2.82e-05 4.25e-05 4.76e-05 4.35e-05 4.49e-05 4.53e-05 4.51e-05 4.52e-05 4.45e-05
CTz1.3e-04 8.03e-05 5.18e-06 3.68e-05 2.29e-05 2.54e-05 3.27e-05 3.20e-05 2.46e-05 2.82e-05
20◦CTx6.13e-05 6.60e-05 7.86e-05 8.22e-05 8.05e-05 8.20e-05 8.29e-05 8.81e-05 8.63e-05 8.57e-05
CTz4.17e-05 7.25e-05 9.60e-05 1.07e-4 9.68e-05 9.73e-05 1.02e-04 1.14e-04 1.11e-04 1.10e-04
30◦CTx- 8.52e-05 9.82e-05 9.91e-05 9.49e-05 1e-04 1.02e-04 1e-04 1e-04 1.02e-04
CTz- 2.95e-07 2.94e-05 3.23e-05 3.82e-05 3.88e-05 3.81e-05 4.15e-05 3.38e-05 3.30e-05
9
A. Ga o ano-Soldado, P.J. Sanchez-Cue as, G. He edia e al. Ae ospace Science and Technology 126 (2022) 107625
a io dec eases wi h espec o he classical heo y as he angle
inc eases. The de eloped model fi s he esul s ob ained om he
nume ical simula ions wi h good accu acy.
In u u e wo ks, he p oposed model o il ed o o s will be
implemen ed in con ol laws in o de o compensa e o his e ec
when UAVs ope a e close o he g ound. This will esul in sa e
fligh s by a oiding ins abili ies in he ae ial pla o m.
Decla a ion o compe ing in e es
The au ho s decla e he ollowing financial in e es s/pe sonal
ela ionships which may be conside ed as po en ial compe ing in-
e es s:
Amba Ga o ano-Soldado epo s financial suppo was p o-
ided by Uni e si y o Se ille. Amba Ga o ano-Soldado epo s a
ela ionship wi h Uni e si y o Se ille ha includes: employmen .
Acknowledgemen s
This wo k has been suppo ed by he H2020 RESIST (H2020-
MG-2017-769066) and PILOTING (H2020-ICT-2019-2-871542) p o-
jec s, unded by he Eu opean Commission and he ARTIC P ojec
(RTI2018-102224-B-I00), unded by he Spanish Agencia Es a al de
In es igación. The wo k o Amba Ga o ano-Soldado is suppo ed
by he FPI g an (PRE2019-089812) om he Minis y o Science
and Inno a ion o he Spanish Go e nmen .
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