field model for the multipoles factory fqwg, 17/3/2004 s.amet, l.deniau, m.haverkamp, l.larsson,...
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![Page 1: Field Model for the Multipoles Factory FQWG, 17/3/2004 S.Amet, L.Deniau, M.Haverkamp, L.Larsson, T.Pieloni, S.Sanfilippo, M. Schneider, R. Wolf, G.Ambrosio](https://reader035.vdocuments.mx/reader035/viewer/2022070412/5697bf821a28abf838c85f90/html5/thumbnails/1.jpg)
Field Model for the Multipoles Factory
FQWG, 17/3/2004 S.Amet, L.Deniau, M.Haverkamp, L.Larsson, T.Pieloni,
S.Sanfilippo, M. Schneider, R. Wolf, G.Ambrosio(+), P.Bauer(+)
and many other contributors from AT-MTMpresented by L.Bottura
(+)Fermilab, TD
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Salvific Magnetic Reference
magneticreferencedatabase
machinetopologydatabase
field modelB[t,I,dI/dt,T,I(-t)]
LHC operating conditionst, I, dI/dt, T, I(-t)
predicted field strength (Bm) andharmonics (cn) by octant
reference magnets
… or usine-a-gaz wasting resources ?
(LE, private communication, Chamonix XIII, 2004)
a key to the successful ramp management at the LHC…
ora pro nobis
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Overview
A description of the field dynamics in the LHC MB’s and MQ’s: the Field Model: general decomposition in error components static errors (geometric, persistent, saturation) decay and snap-back
Error sources extrapolation errors magnet life-long instabilities modelling errors measurement errors
Expected results uncertainty on settings at injection and flat-top uncertainty on ramp correction (work in progress)
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The field model
complex harmonic coefficient Cn in MB’s and MQ’s
depends on time t current I ram-rate dI/dt temperature T powering history I(-t)
simple fits based on physical models or empiric relations (tested against measurements)
€
Cn=Cn t,I,dIdt,T,I(−t)
⎛ ⎝ ⎜ ⎞
⎠ ⎟
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Components in the field model
general decomposition in error sources geometric DC magnetization from persistent currents iron saturation decay at injection snap-back at acceleration coil deformation at high field coupling currents residual magnetization
smaller valuessmaller variability
smaller uncertainty
higher valueshigher variability
higher uncertainty
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Geometric multipoles
important at all field levels absolute field is linear in current, normalised field is constant
measured in warm conditions (can be extrapolated from industry data)
IBmgeommγ=€
Tgeom=γm
€
cngeom=γn
€
Tcold=fTTwarm+ΔT
€
cncold=fcncn
warm+Δcn
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Persistent currents
mostly important at low field (but present throughout) proportional to the magnetization M proportional to Jc
assume that the Jc(B) scaling is maintained (geometry and B distribution effects are condensed in fitting exponents and )
€
M∝JcD
€
Jc∝1B
BBc
⎛ ⎝ ⎜ ⎞
⎠ ⎟α1−B
Bc
⎛ ⎝ ⎜ ⎞
⎠ ⎟β
€
BmMDC=μm
IinjI
IIinj
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
α Ic−IIc−Iinj
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
β
€
TMDC=μmIinjI2
IIinj
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
α Ic−IIc−Iinj
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
β
€
cnMDC=μn IIinj
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
2−α Ic−IIc−Iinj
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
β
add T dependence
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Iron saturation
important at high field only associated with details of iron geometry (shape of inner contour,
slits, holes, …) no “theoretical” expression available, apart for the general shape
of the saturation curve (sigmoid) take a convenient fit to the experimental data
€
Bmsat=σmIaσ fσ I,I1σ,ΔI1σ( )+1−aσ( )fσ I,I2σ,ΔI2σ( )[ ]
€
fσ I,Iσ,ΔIσ( )=1πarctanI-Iσ
ΔIσ ⎛ ⎝ ⎜ ⎞
⎠ ⎟+π2
⎡ ⎣ ⎢ ⎤
⎦ ⎥
€
Tsaturation=σm aσ fσ I,I1σ,ΔI1σ( )+1−aσ( )fσ I,I2σ,ΔI2σ( )[ ]
€
cnsaturation=σn aσfσ I,I1σ,ΔI1σ( )+1−aσ( )fσ I,I2σ,ΔI2σ( )[ ]
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Decay
appears during constant current excitation associated with current redistribution in the superconducting
cables result of a complex interaction:
current redistribution local field magnetization bore field
assume that the dynamics follows that of current diffusion
€
Bmdecay=Δm aΔ1−e−
t−tinjτ1
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟+1−aΔ( )1−e−
t−tinjτ2
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
⎡ ⎣ ⎢ ⎢
⎤ ⎦ ⎥ ⎥
€
Tdecay=ΔmI aΔ1−e−
t−tinjτ1
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟+1−aΔ( )1−e−
t−tinjτ2
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
⎡ ⎣ ⎢ ⎢
⎤ ⎦ ⎥ ⎥
€
cndecay=Δn aΔ1−e−
t−tinjτ1
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟+1−aΔ( )1−e−
t−tinjτ2
⎛ ⎝ ⎜ ⎜
⎞ ⎠ ⎟ ⎟
⎡ ⎣ ⎢ ⎢
⎤ ⎦ ⎥ ⎥
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Powering history effects
average effect of powering history has an uncertainty due to limited sampling (2 % of production ?)
2 magnets3 magnets
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Powering history dependence
main parameters: flat-top current flat-top duration waiting time before injection (injection duration)
tFT
tinjection
tpreparation
IFT
I
t
€
Δn=ΔnstdIFT
Istd
⎛ ⎝ ⎜ ⎞
⎠ ⎟A−Be−tFTτ
A−Be−tstdτ
⎛
⎝ ⎜ ⎜ ⎜
⎞
⎠ ⎟ ⎟ ⎟C+De−
tpreparationτ
C+De−tstdτ
⎛
⎝ ⎜ ⎜ ⎜
⎞
⎠ ⎟ ⎟ ⎟
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Snap-back
first few tens of mT in the acceleration ramp, after injection pendant to decay: magnetization changes are swept away by
background field result of a complex interaction:
current ramp background field magnetization bore field
magnet family invariant found by serendipity
€
Bmsnap−back=Δb1Ie−
I t()−IinjectionΔI
€
Tsnap−back=Δb1e−I t()−Iinjection
ΔI
€
cnsnap−back=Δcndecaye−I t()−Iinjection
ΔI
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Look at the data the right way…
fit of the b3 hysteresis baseline
hysteresis baseline subtracted
b3 snap-back singled out
exponential fit
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Same magnet, different cycles
Δb3 and ΔI change for different cycles…
… and they correlate !
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An invariant for snap-back !?!
great ! the correlation plot holds for many magnets of the same family
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Coil deformation
coil deforms under Lorentz loads at high field the displacement of the strands is proportional to the
electromagnetic force
this effect is small (order of 0.1 … 0.2 units of b3)€
Bmdef=δm
IInom
⎛ ⎝ ⎜ ⎞
⎠ ⎟2
€
Tdef=δmI
Inom2
€
cndef=δnI
Inom
⎛ ⎝ ⎜ ⎞
⎠ ⎟2
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Coupling currents
important during the ramp eddy currents flow resistively among superconducting filaments
in strands and superconducting strands in cables these currents couple the superconducting filaments and strands contribution is proportional to dB/dt and constant in B (neglect
magnetoresistivity effects)
this effect is small (order of 0.1… 0.2 units of b3)
€
BmAC=θm
110
dIdt
€
TMAC=θmIinj10I
dIdt
€
cnAC=θnIinj10I
dIdt
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Residual magnetization
important at very low field (e.g. warm measurements) iron (or other magnetic parts) maintain a magnetization after
powering at high field
very small values, broadly unknown origin, useful to adapt fits (especially for the transfer function)
mresidualmBρ=€
Tresidual=ρmI
€
cnresidual=ρnI
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W/C extrapolation errors
30 % cold measured (realistic ?)
uncertainty estimated on a sector (50 magnets)
take best result (lowest uncertainty) for the estimate, from W/C extrapolation
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Magnet stability at long term
coil geometry changes during the magnet life settling and ratcheting of
the composite formed by cables, wedges and insulations
geometric multipoles change
systematic effect observed only on allowed multipoles
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Modelling errors
deviation of local fit from average for magnets completely measured the fit residual can be
decreased at will for magnets not completely measured the model may be not
appropriate/sufficient/adapted
uncertainty on decay and SB produced by LHC powering cycle different from the one measured and
modelled 6 TeV vs. 7 TeV expected and unexpected waiting times temperature changes …
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Modelling of Decay scaling
Flat Top Duration InfluenceMBSMS5V1
-0.182704
-0.3
-0.25
-0.2
-0.15
-0.1
-0.05
0
0 500 1000 1500 2000 2500
Flat Top Duration (s)
b3 - Snapback (units)
Measurement
Neuron
Analytic
Flat Top Duration t @ 11750 A
Injection
Error Plot
-30%
-20%
-10%
0%
10%
0 500 1000 1500 2000
Pre Cycle Duration (s)
Relative Error (%)
Analytic
Neuron
Analytical model accurate to ≈20 %
Neural network accurate to ≈ 5 %
the model of the average has an uncertainty
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Uncertainty from model
assume model is accurate to 20 % of effect
add uncertainty on average due to limited sample so far 2 % of the population
has been characterised (partially)
assume 20 magnets till the end of the production
NOTE: this is obviously a good reason to have extra magnets on the benches at LHC start-up and after
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Uncertainty from measurements
assume coil radius is known to within 50 m sensitivity to harmonic of
order n scales as the radius to the n-th power
error on the harmonics n is proportional to n Radius
add uncertainty from measurement r.m.s.
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Uncertainty on settings
injection uncertainty on b1 is the same at injection and flat-top
uncertainty on a1 does not contain the effect of changes of magnet roll
uncertainty on b3 and b5 at injection significantly larger than at flat-top
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Summary of estimates
A comment: seems pretty damn good to me, there must be something wrong…
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Work in progress (by KW-14)
verify model vs. measured magnets (L. Deniau, V. Granata, N. Sammut)
hardware concept for reference magnets (M. Buzio, A. Masi)
data fusion concept (L. Deniau) experience at HERA, Tevatron, RHIC (L. Bottura) plan and cost estimate (L. Bottura) scope of the review, panel, participants, to be
discussed at the next FQWG