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Simulations of Pressure Waves induced by Proton Pulses In search of the answer to the fundamental question: are materials indeed stronger than what we give them credit ? Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from H. Kirk, K. McDonald, S. Kahn, H. Ludewig

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Simulations of Pressure Waves induced by Proton Pulses In search of the answer to the fundamental question: are materials indeed stronger than what we give them credit ?. Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from H. Kirk, K. McDonald, S. Kahn, H. Ludewig. - PowerPoint PPT Presentation

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Page 1: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Simulations of Pressure Waves induced by Proton Pulses

In search of the answer to the fundamental question: are materials indeed stronger than what we give them credit ?

Nicholas Simos, PhD, PEBrookhaven National Laboratory

INPUT also from

H. Kirk, K. McDonald, S. Kahn, H. Ludewig

Page 2: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

OVERVIEW

Target Concepts

Simulation Studies

Benchmark Studies

Page 3: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Background

•All studies suggest that, to push frontier in proton drivers to an order higher

than the existing ones, one must maximize the yield at the source

•Proton drivers with beam power up to 4 MW could become reality

•Challenge in finding suitable target material/configurations that will

withstand intense heating, shock waves and radiation damage

•Experience suggests that without R&D surprises have a way of coming back

Page 4: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

WHY SIMULATION ?

•Because of complex geometries the ONLY way to identify trouble spots is

through simulation

•Given that we DO NOT have the high power yet (we just talk about it) it is

hard to know how target materials/target systems will REALY respond

•By benchmarking simulations at the available lower beam power we can

REASONABLY extrapolate the processes (as much as the state of knowledge

allows)

ONE thing that we cannot really do is identify FAILURE (failure means

different things to different people)

Page 5: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Goals

• Find best possible materials that can be used as targets/beam windows under extreme conditions

• Experiment with selected materials, measure responses

• Validate prediction models against measurements to gain confidence in predicting material response and/or failure at anticipated extreme conditions

• USE experimental results to benchmark energy depositions predicted by the various Monte Carlo codes

Page 6: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

TARGET CONCEPTS

•Solid Targets for Muon Collider/Neutrino Factory•Graphite, carbon-carbon, rotating band

•Beam windows

•Solid Targets for the Neutrino Superbeam (CC composite)

•Targets for Pulsed Neutron Sources

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Graphite Targets - E951

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ATJ Graphite Energy Depositions

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ATJ Graphite Strain Data Verification of fundamental modes of target response

Record of strains in the middle of the graphite rod (left) shows a bending frequency between 380-390 Hz

The prediction of the detailed model that implements the supporting/holding fixtures of the target as close to the real setting as possible, predicts a bending frequency of 395 Hz

Also from the record, the axial “ringing” of the target has a period of 260 to 265 microseconds. The fundamental axial period T=2L/c (where L is target rod length and c is speed of sound) is approximately 261 microseconds

The radial “ringing” on the other hand, which from theory is calculated at 150 KHz (or 6.625 microsecond period), is visible only in the strain record filtered by the 500 KHz acquisition

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ATJ Graphite Strain Data

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ATJ Graphite Strain ComparisonPrediction model has not implemented damping from supports or material

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ATJ Graphite Strain Data - Predictions

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Strain Comparison: Graphite vs. Carbon-Carbon

BNL E951 Target Experiment 24 GeV 3.0 e12 proton pulse on Carbon-Carbon and ATJ graphite targets

Recorded strain induced by proton pulse

-8

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-4

-2

0

2

4

6

8

10

0 0.0002 0.0004 0.0006 0.0008 0.001

Time (sec)

Mic

rost

rain

C-C composite

ATJ Graphite

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Carbon-Carbon Strain Data

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E951 WINDOW TEST Station Set-Up

Fiber-optic Strain Gauges & Double window vacuum monitoring

Page 19: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

What Triggered the Window Experimental Effort

Figure above depicts the tight beam spot requirement (0.5 x 0.5 mm rms) for target experiment at AGS

Induced shock stress in a window structure by 16 TP intensity beam and the spot above will likely fail most materials in a single short pulse ( ~ 2 ns)

Figure (right) depicts prediction of vonMises stress in a stainless steel window for the above conditions. Initial shock stress is ~ 3 x yield strength of material !!

Page 20: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Mechanism of induced shock stress in windows

•No matter how thin the window is, the reverberation of stress between surfaces is the key issue• vonMises stress amplitude depends on the spot size (initial compressive load amplitude), thickness of window, speed of sound and pulse shape• the measurement of strain on the surface is to be used as benchmark of the ability of the model to predict the stress field in the heated zone• the radial response (stress/strain) and the ability of the pulse to relax depends on the spot size and the pulse structure• smaller spot size does not necessarily mean larger response at a distance• smaller spot size definitely means higher stress field in the vicinity of the heated zone

Page 21: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Mechanism of induced shock stress in windows

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Issues and Material Matrix selection

• FAST proton beam interacting with window and depositing energy in small spot inducing shock waves

• Based on a 24 GeV/16 TP/0.5 mm rms beam MOST materials could fail with a single pulse

• Though thin, failure in window governed by through-thickness response

• Sound speed, material thickness and pulse structure are critical elements

• Material search combined with analytical predictions led to the following materials for testing– Inconel 718 (1mm and 6mm thickness to study the effect)

– Havar

– Titanium Alloy (highest expectation of survivability)

– Aluminum

• Aluminum (3000 series) selected as the one that COULD fail under realistic expectations of AGS beam during E951 (~ 8 TP and 1mm rms)

Page 24: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Finite Element Models to Capture the Dynamic Response of Windows

Page 25: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Aluminum Window Strain Waves (beam spot ~ 0.3 x 1mm)

Page 26: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Aluminum Window Strain Wave Simulation

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Aluminum Window Strain Data Experimental data vs. prediction using the new beam spot (0.3 x 1mm)

Page 28: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Recorded Aluminum Window Strain Data in back-to-back pulses

Page 29: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Measured and predicted strains in the 1mm thick Inconel-718

Page 30: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

RECORDED strains in the Havar Window (back-to-back pulses)

Page 31: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Lesson: You better have the necessary resolution, or …

E951 - Recorded Strain in the Aluminum Window - Raw Strains (100 KHz) vs. Processed (500 KHz)

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0

10

20

30

0.00002 0.000025 0.00003 0.000035 0.00004 0.000045 0.00005 0.000055

secs

mic

ro-s

trai

n

Aluminum Window Strain Data - Raw(100 KHz) vs. Processed (500 KHZ)

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-0.0001 0.0001 0.0003 0.0005 0.0007 0.0009

secs

mic

rost

rain

s

AL-01-57

Al-01-57 raw

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Illustration of sampling rate on data prediction

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Microscopic Evaluation

Of a Particle Bed Target

Page 38: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

MACROSCOPIC ASSESSMENT OF A PARTICLE BED OPTION

•Utilize poroelastic equations of saturated medium

•Assess pulse attenuation vs. microscopic geometric parameters

•Validate using a controlled experiment

AGL File

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-0.5

-0.4

-0.3

-0.2

-0.1

0

0.1

0.2

0.3

0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.045

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Recent BNL Irradiation Studies

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Solid Target Option: Super-Invar Irradiation Study

Load-Extension Data for Invar Irradiated Samples at various dpa levels

0

500

1000

1500

2000

2500

0 0.05 0.1 0.15 0.2 0.25

Extension (mm)

Invar-22

Invar-23

Invar-24

Invar-25

non-irrad (#1)

WHY STUDY super Invar ?•High-Z with low CTE (0-150 oC)•How is CTE affected by radiation?•What happens to other important properties?

Page 45: Nicholas Simos, PhD, PE Brookhaven National Laboratory INPUT also from

Super-Invar Irradiation Study – Temperature Effects

Effect of Heat Treatment in non-Irradiated Invar Samples

0

500

1000

1500

2000

2500

0 0.05 0.1 0.15 0.2 0.25

Extension (mm)

Lo

ad (

N)

non treated Invar

Temp (300 C)

Temp (500 C)