SlideShare uma empresa Scribd logo
1 de 3
Baixar para ler offline
DESIGN OF A COMPACT X-BAND LINAC STRUCTURE
FOR KAERI-RTX-ISU MEDICAL CYBERKNIFE PROJECT
C. Eckman1∗
, P. Buaphad1
, Y. Kim1,2
, T. Downer1
, A. Andrews1
, B. N. Lee3
, B. C. Lee3
, S. Y. Ryoo4
1
Department of Physics, Idaho State University, Pocatello, ID 83209, USA
2
Thomas Jefferson National Accelerator Facility, Newport News, VA 23606, USA
3
Korea Atomic Energy Research Institute, Daejeon 305-353, Korea
4
Radiation Technology eXcellence, Daejeon 305-353, Korea
Abstract
Recently, the Advanced Accelerator and Ultrafast beam
Lab (AAUL) at Idaho State University (ISU), has been
developing an X-band linac for the medical CyberKnife
project by collaborating with Korean Atomic Energy Re-
search Institute (KAERI) and Radiation Technology eX-
cellence (RTX) [1–3]. The medical CyberKnife is essen-
tially an X-band linac, which is attached to a robotic arm
for precise cancer treatment. The X-band linac has con-
siderable advantages in cancer treatment over C-band or
other RF linacs, partly due to its compact size and light
weight. These qualities make the X-band linac easier to
attach to a robotic arm, thus making it more maneuver-
able. Other advantages include a higher accelerating gra-
dient and a higher shunt impedance. Since high mobil-
ity is necessary for precise cancer treatment, the compact
X-band RF linac was selected for the CyberKnife project.
This paper describes detailed design processes of the X-
band linac structure, which was done with 2D SUPERFISH
and 3D CST MICROWAVE STUDIO (CST MWS) electro-
magnetic simulation programs.
INTRODUCTION
Recently, ISU AAUL, KAERI, and RTX have been de-
veloping an X-band Standing Wave (SW) RF linac for the
CyberKnife robotic radiosurgery system. CyberKnife is
a non-invasive cancer treatment technique, which can be
used for a multitude of cancers or tumors in the human
body [4]. By adjusting a robotic arm housing the X-band
linac precisely, CyberKnife can target with pinpoint accu-
racy. The X-band linac is used to deliver high doses of radi-
ation directly to the cancer or tumorous areas. This process
is a major improvement over older and harsher cancer treat-
ment techniques and has the potential to save thousands of
lives. The expected parameters of the X-band linac for the
CyberKnife project is summarized in Table 1. The X-band
linac consists of a π-mode SW linac structure with 15 cells
and a coupler as shown in Fig. 1. By using the π-mode, a
higher shunt impedance and a higher gradient can be ob-
tained [5]. For the RF power source of the linac, an X-band
coaxial pulsed magnetron manufactured by L-3 Commu-
nications was selected [6]. Therefore, the linac was opti-
mized to make an RF resonance at 9.3 GHz.
∗ cryptoscientia@gmail.com
Table 1: Parameters of an optimized X-band linac.
Parameter Value Unit
length of the linac 0.25 m
initial beam energy from gun 20 keV
maximum beam energy at linac exit 6 MeV
RF frequency 9.3 GHz
maximum RF input power 2.36 MW
shunt impedance 78 MΩ/m
maximum energy gain per cell 400 keV
unloaded quality factor 8306 ·
external quality factor 7099 ·
By knowing the RF resonant frequency, the cell lengths
and cell radii of the linac structure can be calculated in ad-
vance. The cell length l of the π-mode SW linac structure
is given by
l = β
λRF
2
, (1)
where β is the relativistic velocity of electrons, and λRF is
the RF wavelength of the linac structure [1]. In our linac
design, the bunching cells in the linac structure correspond
to the cells where β is smaller than 0.95. All these ini-
tial conditions were used in 2D SUPERFISH simulation
to find a basic geometry of the linac structure. A MAT-
LAB program was developed to work in conjunction with
the 2D SUPERFISH program to design basic geometries
of each bunching cell and nominal accelerating cell. These
individual cells are then combined in series to form a full
linac structure with good electric field symmetry. There-
fore, we can save our working time to find full geome-
try of the X-band linac structure with good electric field
symmetry by using the homemade MATLAB and SUPER-
FISH combined program. Then, 3D CST MWS was used
to optimize the linac structure and coupler by starting with
the full geometry generated by the MATLAB and SUPER-
FISH combined program. Once the design is completed
with CST MWS, it will serve as a blueprint for an actual
working model.
2D SUPERFISH SIMULATION
SUPERFISH is a 2D electromagnetic field solver cre-
ated and distributed by the Los Alamos National Labo-
ratory to evaluate cylindrically symmetric RF accelerator
cavities [7]. The cells in the X-band SW RF linac structure
Figure 1: 3D CST MWS simulation result for an X-band linac structure with 15 cells summarized in Table 2
were individually modeled using the SUPERFISH ellipti-
cal cavity tuning program ELLFISH. ELLFISH tunes an
elliptical cell for explicit beam parameters and geometric
constraints by making slight adjustments in the geometry
of the cell. The geometric constraints are determined by the
parameters of the electron beam. In this case, unbunched
electron beam enters the linac structure with kinetic energy
of 20 keV from the electron gun. Then, the bunching will
be developed at bunching cells in the linac structure. The
linac accelerates the electron beam through each cell in the
structure and exits with a total energy of 6 MeV.
Figure 2: 2D SUPERFISH simulation result for a linac
structure with four bunching cells.
The field symmetry along the linac cells is dependent
upon the radius of the linac cells as summarized in Table 2.
The semi-major and semi-minor ellipses of the elliptical
cells can be calculated from the cell length, cell radius, and
the desired septum thickness and iris radius. ISU AAUL
has developed a MATLAB program to expedite the model-
ing of the linac structure with several bunching and nomi-
nal accelerating cells. The boundary constraints for the SW
π-mode in the linac are hard coded into the program. The
program allows for the user to input a desired frequency,
the β values for the bunching cells and nominal cells with
β = 1, and the desired iris radius. The program also offers
an option to specify the mesh size and to add an extended
beamline to the structure. The MATLAB program writes
the geometrical parameters, calculated from the data input
by the user, to several ELLFISH control files. ELLFISH
executes each control file, optimizes the geometry for each
cell, and writes the optimized geometries to a set of out-
put files. The MATLAB program splices the individually
optimized cell geometries, writes the multi-cell geometry
to a single control file, and executes the control file in Aut-
ofish. Autofish performs an electromagnetic analysis of the
multi-cell linac structure as shown in Fig. 2. WSFplot dis-
plays the longitudinal electric field. The shunt impedance,
power dissipation, and transit-time factor are located in the
PMI output files for the multi-cell linac structure.
Table 2: Detailed geometry of the X-band linac cells.
Cavity Radius (mm) Length (mm)
1st
bunching cell 13.680 5.382
2nd
bunching cell 13.850 13.906
3rd
bunching cell 13.906 15.142
4th
cell 13.949 16.118
5th
cell 13.950 16.118
6th
cell 13.950 16.118
7th
cell 13.951 16.118
8th
coupling cell 13.790 16.118
9th
cell 13.950 16.118
10th
cell 13.951 16.118
11th
cell 13.950 16.118
12th
cell 13.950 16.118
13th
cell 13.949 16.118
14th
cell 13.949 16.118
15th
cell 13.929 16.118
DESIGN OF RF COUPLER
The RF input is channeled through a WR-112 waveguide
with an inside dimension of 28.4988 mm × 12.6238 mm
with an allowable frequency range of 7.05 GHz to
10.0 GHz. Using these waveguide dimensions, the coupler
design could be developed for the structure. Placing the
coupler in the central location in the accelerating structure
provides greater separation of modes [8]. The waveguide
dimensions needed to be reduced to an appropriate size to
couple with the X-band structure. This was accomplished
by tapering the X-band waveguide to the RF power input
window of the 8th coupling cell as shown in Fig. 1. The
RF power input window to the coupling cell has the di-
Figure 3: Electric field along the axis of the X-band linac structure summarized in Tables 1 and 2
mensions of 10.7 mm × 5.0 mm and comes straight up out
of the cell 1.0 mm. The waveguide, tapered area, coupler
window and the coupling cell were tuned as a single cell,
apart from the full structure. This single cell was given
the proper boundary conditions in CST MWS as shown in
Fig. 1. The dimensions of cell radius and coupler window
have been tuned to obtain a coupler coefficient β = 15,
which is the same as the total number of cells at the reso-
nance frequency of 9.3 GHz. This coupling coefficient of
β = 15 provides the maximum RF power coupling to each
of the 15 cells in the full structure [8]. After this coupler
is tuned individually, it is then placed into the full structure
and tested once more. Experience shows that this coupler
still will need an adjustment before it will work properly in
the full linac structure.
3D CST MWS SIMULATION
CST MWS provides 3D manipulation and a more in-
depth testing ground for the X-band structure [9]. To get a
higher shunt impedance, generally, we may choose cell ge-
ometries with the nosecones. However, as shown in Figs. 1
and 2, all cells of the X-band linac structure have the bell
shapes instead of the nosecone ones for easy fabrication.
To obtain the symmetric electric field for the whole linac
structure, the radius of each cell was individually modified
by small increments [5]. These small increments were de-
termined by the physical machining tolerances, which are
±2 µm. Even small changes in the cell radius generate big
impacts on the symmetry of the electric field. The cav-
ity radius and the iris radius of each cell are inversely pro-
portionally to the global frequency and the local electric
field strength. Since the iris radius is directly related to the
frequency separation between electromagnetic modes, we
chose 4 mm for the iris radius of the linac structure to keep
the mode separation larger than 5 MHz. Any shape made in
CST MWS is carved from a default background of uniform
conducting solid material and the carved shape is assumed
to be vacuum. Once the cells, irises, and a coupler are con-
nected into one solid structure, the electric fields can be
optimized. The electric field was optimized for π-mode in
CST MWS using the Eigenmode Solver Parameters tool to
produce the desired field as shown in Fig. 3. This tool uses
one of two solvers: the Advanced Krylov Subspace method
(AKS) and the Jacobi-Davidson method (JDM). AKS mea-
sures modes with the lowest resonant frequencies, whereas
the JDM measures modes at arbitrary positions specified by
user input; this X-band structure used JDM [9]. The speci-
fications of Eigenmode Solver Parameters tool were shown
to be the first five modes above the frequency of 9.295 GHz.
To help alleviate the calculation time, the Boundary Condi-
tions toolbox has an option under the Symmetry Planes tab
to cut the structure into symmetrical sections for calcula-
tion purposes. This process of optimizing the electric fields
was the most time consuming part of the X-band linac de-
sign.
SUMMARY
An X-band SW linac structure was successfully de-
signed with SUPERFISH and CST MWS. The linac will
be operated in π-mode to generate 6 MeV electron beam
for the CyberKnife. The central RF coupler was designed
and optimized to produce a symmetric electric field for the
X-band structure as shown in Fig. 3. The final optimized
geometry of the X-band linac structure is shown in Fig. 1
and its parameters are summarized in Tables 1 and 2. The
next steps in the process are to simulate the X-band linac
with a copper shell and design the heat dissipation method
for the structure. Then it will be built and tested as an elec-
tron beam source for the medical CyberKnife project. Inde-
pendently, we also have been optimizing a longer X-band
linac structure with 25 cells.
REFERENCES
[1] http://www.isu.edu/∼yjkim
[2] http://www.kaeri.re.kr
[3] http://www.irtx.co.kr
[4] www.cyberknife.com
[5] Yasser Nour et al., in Proc. IPAC2013, Shanghai, China.
[6] http://www2.l-3com.com/edd/pdfs/EDDPM1110Xdatasheet.pdf
[7] http://laacg1.lanl.gov/laacg/services/download sf.phtml
[8] D. Alesini et al., Nucl. Instr. and Meth. A 554 (2005) 1.
[9] http://www.cst.com/

Mais conteúdo relacionado

Mais procurados

A NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONS
A NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONSA NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONS
A NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONSijistjournal
 
Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...
Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...
Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...vks01ece
 
Electronically controlled radiation pattern leaky wave antenna array for (C b...
Electronically controlled radiation pattern leaky wave antenna array for (C b...Electronically controlled radiation pattern leaky wave antenna array for (C b...
Electronically controlled radiation pattern leaky wave antenna array for (C b...TELKOMNIKA JOURNAL
 
Reconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMS
Reconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMSReconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMS
Reconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMSIOSR Journals
 
Improving coverage and capacity in cellular systems
Improving coverage and capacity in cellular systemsImproving coverage and capacity in cellular systems
Improving coverage and capacity in cellular systemsTarek Nader
 
Inductive power transfer
Inductive power transferInductive power transfer
Inductive power transferSukanya Jadhav
 
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKS
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKSNETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKS
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKSMadhav Thekkedath
 
Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...
Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...
Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...IDES Editor
 
Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...
Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...
Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...Projectsatbangalore
 
A new configuration of patch antenna array for rectenna array applications
A new configuration of patch antenna array for rectenna array applicationsA new configuration of patch antenna array for rectenna array applications
A new configuration of patch antenna array for rectenna array applicationsTELKOMNIKA JOURNAL
 
A cellular base station antenna configuration for variable coverage
A cellular base station antenna configuration for variable coverageA cellular base station antenna configuration for variable coverage
A cellular base station antenna configuration for variable coverageIJECEIAES
 
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...IJECEIAES
 
Design of Reconfigurable Microstrip Patch Antenna for WLAN Application
Design of Reconfigurable Microstrip Patch Antenna for WLAN ApplicationDesign of Reconfigurable Microstrip Patch Antenna for WLAN Application
Design of Reconfigurable Microstrip Patch Antenna for WLAN ApplicationEditor IJMTER
 
Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...
Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...
Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...ijsrd.com
 
wireless power transfer
wireless power transferwireless power transfer
wireless power transferhetvi naik
 
Microstrip patch-antenna
Microstrip patch-antennaMicrostrip patch-antenna
Microstrip patch-antennaaquibjamal123
 
A ring monopole quad band antenna loaded with metamaterial and slots for wire...
A ring monopole quad band antenna loaded with metamaterial and slots for wire...A ring monopole quad band antenna loaded with metamaterial and slots for wire...
A ring monopole quad band antenna loaded with metamaterial and slots for wire...journalBEEI
 

Mais procurados (20)

A NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONS
A NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONSA NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONS
A NEW MODIFIED SYSTEM FOR EQUAL POWER DIVISION WITH LCC FOR WIRELESS APPLCATIONS
 
Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...
Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...
Researchpaper improving channel-capacity-of-a-cellular-system-using-cell-spli...
 
Electronically controlled radiation pattern leaky wave antenna array for (C b...
Electronically controlled radiation pattern leaky wave antenna array for (C b...Electronically controlled radiation pattern leaky wave antenna array for (C b...
Electronically controlled radiation pattern leaky wave antenna array for (C b...
 
Reconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMS
Reconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMSReconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMS
Reconfigurable Microstrip Patch Antenna for Frequency Diversity Using RF MEMS
 
Korada2016
Korada2016Korada2016
Korada2016
 
Improving coverage and capacity in cellular systems
Improving coverage and capacity in cellular systemsImproving coverage and capacity in cellular systems
Improving coverage and capacity in cellular systems
 
Inductive power transfer
Inductive power transferInductive power transfer
Inductive power transfer
 
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKS
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKSNETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKS
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKS
 
Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...
Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...
Electrically Controlled Frequency Reconfigurable Comb Type Antenna for Wirele...
 
Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...
Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...
Four-Way Microstrip-Based Power Combining for Microwave Outphasing Power Ampl...
 
A new configuration of patch antenna array for rectenna array applications
A new configuration of patch antenna array for rectenna array applicationsA new configuration of patch antenna array for rectenna array applications
A new configuration of patch antenna array for rectenna array applications
 
A cellular base station antenna configuration for variable coverage
A cellular base station antenna configuration for variable coverageA cellular base station antenna configuration for variable coverage
A cellular base station antenna configuration for variable coverage
 
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...
 
Design of Reconfigurable Microstrip Patch Antenna for WLAN Application
Design of Reconfigurable Microstrip Patch Antenna for WLAN ApplicationDesign of Reconfigurable Microstrip Patch Antenna for WLAN Application
Design of Reconfigurable Microstrip Patch Antenna for WLAN Application
 
Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...
Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...
Gain Enhancement of Series Feed Square Patch Microstrip Antenna Array for S b...
 
wireless power transfer
wireless power transferwireless power transfer
wireless power transfer
 
Design and implementation of an efficient WPT system
Design and implementation of an efficient WPT systemDesign and implementation of an efficient WPT system
Design and implementation of an efficient WPT system
 
Microstrip patch-antenna
Microstrip patch-antennaMicrostrip patch-antenna
Microstrip patch-antenna
 
wireless power transfer
wireless power transferwireless power transfer
wireless power transfer
 
A ring monopole quad band antenna loaded with metamaterial and slots for wire...
A ring monopole quad band antenna loaded with metamaterial and slots for wire...A ring monopole quad band antenna loaded with metamaterial and slots for wire...
A ring monopole quad band antenna loaded with metamaterial and slots for wire...
 

Destaque

Beam Imaging System for IAC RadiaBeam THz Project
Beam Imaging System for IAC RadiaBeam THz ProjectBeam Imaging System for IAC RadiaBeam THz Project
Beam Imaging System for IAC RadiaBeam THz Projectdowntrev
 
Wordpress Security
Wordpress SecurityWordpress Security
Wordpress SecurityPeter Bui
 
Outsourced Innovation Case Study-Rose Acre Farm
Outsourced Innovation Case Study-Rose Acre FarmOutsourced Innovation Case Study-Rose Acre Farm
Outsourced Innovation Case Study-Rose Acre Farmadambcarney
 
Review of work in progress March 2012 - Part 4
Review of work in progress   March 2012 - Part 4Review of work in progress   March 2012 - Part 4
Review of work in progress March 2012 - Part 4Peter Missen
 
Build Your Best Auction Catalog Ever
Build Your Best Auction Catalog EverBuild Your Best Auction Catalog Ever
Build Your Best Auction Catalog EverPerry Allison
 
Review of work in progress November 2012
Review of work in progress   November 2012Review of work in progress   November 2012
Review of work in progress November 2012Peter Missen
 
Review of work in progress October 2012 Part 1
Review of work in progress   October 2012 Part 1Review of work in progress   October 2012 Part 1
Review of work in progress October 2012 Part 1Peter Missen
 
The Solar System
The Solar System The Solar System
The Solar System Hk Sarawgi
 
Dinamikakelompokprajab3
Dinamikakelompokprajab3Dinamikakelompokprajab3
Dinamikakelompokprajab3acep bambang
 
Web workers&parallel.js html5勉強会lt大会
Web workers&parallel.js   html5勉強会lt大会Web workers&parallel.js   html5勉強会lt大会
Web workers&parallel.js html5勉強会lt大会Yuta Shimakawa
 
Engineering and design company DniproVNIPIenergoprom presentation (2013)
Engineering and design company DniproVNIPIenergoprom presentation (2013)Engineering and design company DniproVNIPIenergoprom presentation (2013)
Engineering and design company DniproVNIPIenergoprom presentation (2013)Design Institute DneprVNIPIenergoprom
 
「合併反対」所収 球団合併の要因に関する一考察
「合併反対」所収 球団合併の要因に関する一考察「合併反対」所収 球団合併の要因に関する一考察
「合併反対」所収 球団合併の要因に関する一考察Kohsuke Shinkuma
 
Review of work in progress March 2012 - Part 6
Review of work in progress   March 2012 - Part 6Review of work in progress   March 2012 - Part 6
Review of work in progress March 2012 - Part 6Peter Missen
 
Diasanpatrick's xavicid
Diasanpatrick's xavicidDiasanpatrick's xavicid
Diasanpatrick's xavicidxavi1090
 

Destaque (20)

Beam Imaging System for IAC RadiaBeam THz Project
Beam Imaging System for IAC RadiaBeam THz ProjectBeam Imaging System for IAC RadiaBeam THz Project
Beam Imaging System for IAC RadiaBeam THz Project
 
Wordpress Security
Wordpress SecurityWordpress Security
Wordpress Security
 
Outsourced Innovation Case Study-Rose Acre Farm
Outsourced Innovation Case Study-Rose Acre FarmOutsourced Innovation Case Study-Rose Acre Farm
Outsourced Innovation Case Study-Rose Acre Farm
 
Review of work in progress March 2012 - Part 4
Review of work in progress   March 2012 - Part 4Review of work in progress   March 2012 - Part 4
Review of work in progress March 2012 - Part 4
 
Heal from within
Heal from withinHeal from within
Heal from within
 
Technology update
Technology updateTechnology update
Technology update
 
Build Your Best Auction Catalog Ever
Build Your Best Auction Catalog EverBuild Your Best Auction Catalog Ever
Build Your Best Auction Catalog Ever
 
Review of work in progress November 2012
Review of work in progress   November 2012Review of work in progress   November 2012
Review of work in progress November 2012
 
Mi beto
Mi betoMi beto
Mi beto
 
Review of work in progress October 2012 Part 1
Review of work in progress   October 2012 Part 1Review of work in progress   October 2012 Part 1
Review of work in progress October 2012 Part 1
 
The Solar System
The Solar System The Solar System
The Solar System
 
Hintarea
HintareaHintarea
Hintarea
 
FORMAR PALABRAS
FORMAR PALABRASFORMAR PALABRAS
FORMAR PALABRAS
 
Dinamikakelompokprajab3
Dinamikakelompokprajab3Dinamikakelompokprajab3
Dinamikakelompokprajab3
 
Power medidas
Power medidasPower medidas
Power medidas
 
Web workers&parallel.js html5勉強会lt大会
Web workers&parallel.js   html5勉強会lt大会Web workers&parallel.js   html5勉強会lt大会
Web workers&parallel.js html5勉強会lt大会
 
Engineering and design company DniproVNIPIenergoprom presentation (2013)
Engineering and design company DniproVNIPIenergoprom presentation (2013)Engineering and design company DniproVNIPIenergoprom presentation (2013)
Engineering and design company DniproVNIPIenergoprom presentation (2013)
 
「合併反対」所収 球団合併の要因に関する一考察
「合併反対」所収 球団合併の要因に関する一考察「合併反対」所収 球団合併の要因に関する一考察
「合併反対」所収 球団合併の要因に関する一考察
 
Review of work in progress March 2012 - Part 6
Review of work in progress   March 2012 - Part 6Review of work in progress   March 2012 - Part 6
Review of work in progress March 2012 - Part 6
 
Diasanpatrick's xavicid
Diasanpatrick's xavicidDiasanpatrick's xavicid
Diasanpatrick's xavicid
 

Semelhante a Compact X-Band LINAC structure design for KAERI-RTX-ISU Medical CyberKnife Project

3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...
3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...
3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...ijcsa
 
Power_and_Data_08-16-12_Final_Color
Power_and_Data_08-16-12_Final_ColorPower_and_Data_08-16-12_Final_Color
Power_and_Data_08-16-12_Final_ColorAlexander Rush
 
Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...
Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...
Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...Konstantinos Karamichalis
 
Radiation beam scanning for leaky wave antenna by using slots
Radiation beam scanning for leaky wave antenna by using slotsRadiation beam scanning for leaky wave antenna by using slots
Radiation beam scanning for leaky wave antenna by using slotsTELKOMNIKA JOURNAL
 
IRJET- Three Phase Line Fault Detection using Artificial Neural Network
IRJET- Three Phase Line Fault Detection using Artificial Neural NetworkIRJET- Three Phase Line Fault Detection using Artificial Neural Network
IRJET- Three Phase Line Fault Detection using Artificial Neural NetworkIRJET Journal
 
Iisrt divyasri govindharajan
Iisrt divyasri govindharajanIisrt divyasri govindharajan
Iisrt divyasri govindharajanIISRT
 
Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...
Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...
Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...University of South Carolina
 
LHCP four patches stack triangular truncated antenna using corporate feed mic...
LHCP four patches stack triangular truncated antenna using corporate feed mic...LHCP four patches stack triangular truncated antenna using corporate feed mic...
LHCP four patches stack triangular truncated antenna using corporate feed mic...IJECEIAES
 
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...IRJET Journal
 
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...graphhoc
 
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ijasuc
 
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ijasuc
 
Resonance frequency analysis of laser optical fiber based on microcantilever
Resonance frequency analysis of laser optical fiber based on microcantileverResonance frequency analysis of laser optical fiber based on microcantilever
Resonance frequency analysis of laser optical fiber based on microcantileverIJECEIAES
 
Modeling of solar array and analyze the current transient response of shunt s...
Modeling of solar array and analyze the current transient response of shunt s...Modeling of solar array and analyze the current transient response of shunt s...
Modeling of solar array and analyze the current transient response of shunt s...Editor Jacotech
 
Modeling of solar array and analyze the current transient
Modeling of solar array and analyze the current transientModeling of solar array and analyze the current transient
Modeling of solar array and analyze the current transientEditor Jacotech
 

Semelhante a Compact X-Band LINAC structure design for KAERI-RTX-ISU Medical CyberKnife Project (20)

3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...
3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...
3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...
 
125
125125
125
 
Power_and_Data_08-16-12_Final_Color
Power_and_Data_08-16-12_Final_ColorPower_and_Data_08-16-12_Final_Color
Power_and_Data_08-16-12_Final_Color
 
wireless power transfer
wireless power transferwireless power transfer
wireless power transfer
 
Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...
Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...
Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...
 
Radiation beam scanning for leaky wave antenna by using slots
Radiation beam scanning for leaky wave antenna by using slotsRadiation beam scanning for leaky wave antenna by using slots
Radiation beam scanning for leaky wave antenna by using slots
 
IRJET- Three Phase Line Fault Detection using Artificial Neural Network
IRJET- Three Phase Line Fault Detection using Artificial Neural NetworkIRJET- Three Phase Line Fault Detection using Artificial Neural Network
IRJET- Three Phase Line Fault Detection using Artificial Neural Network
 
MOPG70_160830
MOPG70_160830MOPG70_160830
MOPG70_160830
 
Iisrt divyasri govindharajan
Iisrt divyasri govindharajanIisrt divyasri govindharajan
Iisrt divyasri govindharajan
 
Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...
Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...
Modeling and Control of Gate-Controlled Series Capacitor Interfaced With a DF...
 
LHCP four patches stack triangular truncated antenna using corporate feed mic...
LHCP four patches stack triangular truncated antenna using corporate feed mic...LHCP four patches stack triangular truncated antenna using corporate feed mic...
LHCP four patches stack triangular truncated antenna using corporate feed mic...
 
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
 
F010513844
F010513844F010513844
F010513844
 
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...
 
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
 
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
 
Resonance frequency analysis of laser optical fiber based on microcantilever
Resonance frequency analysis of laser optical fiber based on microcantileverResonance frequency analysis of laser optical fiber based on microcantilever
Resonance frequency analysis of laser optical fiber based on microcantilever
 
M0111397100
M0111397100M0111397100
M0111397100
 
Modeling of solar array and analyze the current transient response of shunt s...
Modeling of solar array and analyze the current transient response of shunt s...Modeling of solar array and analyze the current transient response of shunt s...
Modeling of solar array and analyze the current transient response of shunt s...
 
Modeling of solar array and analyze the current transient
Modeling of solar array and analyze the current transientModeling of solar array and analyze the current transient
Modeling of solar array and analyze the current transient
 

Compact X-Band LINAC structure design for KAERI-RTX-ISU Medical CyberKnife Project

  • 1. DESIGN OF A COMPACT X-BAND LINAC STRUCTURE FOR KAERI-RTX-ISU MEDICAL CYBERKNIFE PROJECT C. Eckman1∗ , P. Buaphad1 , Y. Kim1,2 , T. Downer1 , A. Andrews1 , B. N. Lee3 , B. C. Lee3 , S. Y. Ryoo4 1 Department of Physics, Idaho State University, Pocatello, ID 83209, USA 2 Thomas Jefferson National Accelerator Facility, Newport News, VA 23606, USA 3 Korea Atomic Energy Research Institute, Daejeon 305-353, Korea 4 Radiation Technology eXcellence, Daejeon 305-353, Korea Abstract Recently, the Advanced Accelerator and Ultrafast beam Lab (AAUL) at Idaho State University (ISU), has been developing an X-band linac for the medical CyberKnife project by collaborating with Korean Atomic Energy Re- search Institute (KAERI) and Radiation Technology eX- cellence (RTX) [1–3]. The medical CyberKnife is essen- tially an X-band linac, which is attached to a robotic arm for precise cancer treatment. The X-band linac has con- siderable advantages in cancer treatment over C-band or other RF linacs, partly due to its compact size and light weight. These qualities make the X-band linac easier to attach to a robotic arm, thus making it more maneuver- able. Other advantages include a higher accelerating gra- dient and a higher shunt impedance. Since high mobil- ity is necessary for precise cancer treatment, the compact X-band RF linac was selected for the CyberKnife project. This paper describes detailed design processes of the X- band linac structure, which was done with 2D SUPERFISH and 3D CST MICROWAVE STUDIO (CST MWS) electro- magnetic simulation programs. INTRODUCTION Recently, ISU AAUL, KAERI, and RTX have been de- veloping an X-band Standing Wave (SW) RF linac for the CyberKnife robotic radiosurgery system. CyberKnife is a non-invasive cancer treatment technique, which can be used for a multitude of cancers or tumors in the human body [4]. By adjusting a robotic arm housing the X-band linac precisely, CyberKnife can target with pinpoint accu- racy. The X-band linac is used to deliver high doses of radi- ation directly to the cancer or tumorous areas. This process is a major improvement over older and harsher cancer treat- ment techniques and has the potential to save thousands of lives. The expected parameters of the X-band linac for the CyberKnife project is summarized in Table 1. The X-band linac consists of a π-mode SW linac structure with 15 cells and a coupler as shown in Fig. 1. By using the π-mode, a higher shunt impedance and a higher gradient can be ob- tained [5]. For the RF power source of the linac, an X-band coaxial pulsed magnetron manufactured by L-3 Commu- nications was selected [6]. Therefore, the linac was opti- mized to make an RF resonance at 9.3 GHz. ∗ cryptoscientia@gmail.com Table 1: Parameters of an optimized X-band linac. Parameter Value Unit length of the linac 0.25 m initial beam energy from gun 20 keV maximum beam energy at linac exit 6 MeV RF frequency 9.3 GHz maximum RF input power 2.36 MW shunt impedance 78 MΩ/m maximum energy gain per cell 400 keV unloaded quality factor 8306 · external quality factor 7099 · By knowing the RF resonant frequency, the cell lengths and cell radii of the linac structure can be calculated in ad- vance. The cell length l of the π-mode SW linac structure is given by l = β λRF 2 , (1) where β is the relativistic velocity of electrons, and λRF is the RF wavelength of the linac structure [1]. In our linac design, the bunching cells in the linac structure correspond to the cells where β is smaller than 0.95. All these ini- tial conditions were used in 2D SUPERFISH simulation to find a basic geometry of the linac structure. A MAT- LAB program was developed to work in conjunction with the 2D SUPERFISH program to design basic geometries of each bunching cell and nominal accelerating cell. These individual cells are then combined in series to form a full linac structure with good electric field symmetry. There- fore, we can save our working time to find full geome- try of the X-band linac structure with good electric field symmetry by using the homemade MATLAB and SUPER- FISH combined program. Then, 3D CST MWS was used to optimize the linac structure and coupler by starting with the full geometry generated by the MATLAB and SUPER- FISH combined program. Once the design is completed with CST MWS, it will serve as a blueprint for an actual working model. 2D SUPERFISH SIMULATION SUPERFISH is a 2D electromagnetic field solver cre- ated and distributed by the Los Alamos National Labo- ratory to evaluate cylindrically symmetric RF accelerator cavities [7]. The cells in the X-band SW RF linac structure
  • 2. Figure 1: 3D CST MWS simulation result for an X-band linac structure with 15 cells summarized in Table 2 were individually modeled using the SUPERFISH ellipti- cal cavity tuning program ELLFISH. ELLFISH tunes an elliptical cell for explicit beam parameters and geometric constraints by making slight adjustments in the geometry of the cell. The geometric constraints are determined by the parameters of the electron beam. In this case, unbunched electron beam enters the linac structure with kinetic energy of 20 keV from the electron gun. Then, the bunching will be developed at bunching cells in the linac structure. The linac accelerates the electron beam through each cell in the structure and exits with a total energy of 6 MeV. Figure 2: 2D SUPERFISH simulation result for a linac structure with four bunching cells. The field symmetry along the linac cells is dependent upon the radius of the linac cells as summarized in Table 2. The semi-major and semi-minor ellipses of the elliptical cells can be calculated from the cell length, cell radius, and the desired septum thickness and iris radius. ISU AAUL has developed a MATLAB program to expedite the model- ing of the linac structure with several bunching and nomi- nal accelerating cells. The boundary constraints for the SW π-mode in the linac are hard coded into the program. The program allows for the user to input a desired frequency, the β values for the bunching cells and nominal cells with β = 1, and the desired iris radius. The program also offers an option to specify the mesh size and to add an extended beamline to the structure. The MATLAB program writes the geometrical parameters, calculated from the data input by the user, to several ELLFISH control files. ELLFISH executes each control file, optimizes the geometry for each cell, and writes the optimized geometries to a set of out- put files. The MATLAB program splices the individually optimized cell geometries, writes the multi-cell geometry to a single control file, and executes the control file in Aut- ofish. Autofish performs an electromagnetic analysis of the multi-cell linac structure as shown in Fig. 2. WSFplot dis- plays the longitudinal electric field. The shunt impedance, power dissipation, and transit-time factor are located in the PMI output files for the multi-cell linac structure. Table 2: Detailed geometry of the X-band linac cells. Cavity Radius (mm) Length (mm) 1st bunching cell 13.680 5.382 2nd bunching cell 13.850 13.906 3rd bunching cell 13.906 15.142 4th cell 13.949 16.118 5th cell 13.950 16.118 6th cell 13.950 16.118 7th cell 13.951 16.118 8th coupling cell 13.790 16.118 9th cell 13.950 16.118 10th cell 13.951 16.118 11th cell 13.950 16.118 12th cell 13.950 16.118 13th cell 13.949 16.118 14th cell 13.949 16.118 15th cell 13.929 16.118 DESIGN OF RF COUPLER The RF input is channeled through a WR-112 waveguide with an inside dimension of 28.4988 mm × 12.6238 mm with an allowable frequency range of 7.05 GHz to 10.0 GHz. Using these waveguide dimensions, the coupler design could be developed for the structure. Placing the coupler in the central location in the accelerating structure provides greater separation of modes [8]. The waveguide dimensions needed to be reduced to an appropriate size to couple with the X-band structure. This was accomplished by tapering the X-band waveguide to the RF power input window of the 8th coupling cell as shown in Fig. 1. The RF power input window to the coupling cell has the di-
  • 3. Figure 3: Electric field along the axis of the X-band linac structure summarized in Tables 1 and 2 mensions of 10.7 mm × 5.0 mm and comes straight up out of the cell 1.0 mm. The waveguide, tapered area, coupler window and the coupling cell were tuned as a single cell, apart from the full structure. This single cell was given the proper boundary conditions in CST MWS as shown in Fig. 1. The dimensions of cell radius and coupler window have been tuned to obtain a coupler coefficient β = 15, which is the same as the total number of cells at the reso- nance frequency of 9.3 GHz. This coupling coefficient of β = 15 provides the maximum RF power coupling to each of the 15 cells in the full structure [8]. After this coupler is tuned individually, it is then placed into the full structure and tested once more. Experience shows that this coupler still will need an adjustment before it will work properly in the full linac structure. 3D CST MWS SIMULATION CST MWS provides 3D manipulation and a more in- depth testing ground for the X-band structure [9]. To get a higher shunt impedance, generally, we may choose cell ge- ometries with the nosecones. However, as shown in Figs. 1 and 2, all cells of the X-band linac structure have the bell shapes instead of the nosecone ones for easy fabrication. To obtain the symmetric electric field for the whole linac structure, the radius of each cell was individually modified by small increments [5]. These small increments were de- termined by the physical machining tolerances, which are ±2 µm. Even small changes in the cell radius generate big impacts on the symmetry of the electric field. The cav- ity radius and the iris radius of each cell are inversely pro- portionally to the global frequency and the local electric field strength. Since the iris radius is directly related to the frequency separation between electromagnetic modes, we chose 4 mm for the iris radius of the linac structure to keep the mode separation larger than 5 MHz. Any shape made in CST MWS is carved from a default background of uniform conducting solid material and the carved shape is assumed to be vacuum. Once the cells, irises, and a coupler are con- nected into one solid structure, the electric fields can be optimized. The electric field was optimized for π-mode in CST MWS using the Eigenmode Solver Parameters tool to produce the desired field as shown in Fig. 3. This tool uses one of two solvers: the Advanced Krylov Subspace method (AKS) and the Jacobi-Davidson method (JDM). AKS mea- sures modes with the lowest resonant frequencies, whereas the JDM measures modes at arbitrary positions specified by user input; this X-band structure used JDM [9]. The speci- fications of Eigenmode Solver Parameters tool were shown to be the first five modes above the frequency of 9.295 GHz. To help alleviate the calculation time, the Boundary Condi- tions toolbox has an option under the Symmetry Planes tab to cut the structure into symmetrical sections for calcula- tion purposes. This process of optimizing the electric fields was the most time consuming part of the X-band linac de- sign. SUMMARY An X-band SW linac structure was successfully de- signed with SUPERFISH and CST MWS. The linac will be operated in π-mode to generate 6 MeV electron beam for the CyberKnife. The central RF coupler was designed and optimized to produce a symmetric electric field for the X-band structure as shown in Fig. 3. The final optimized geometry of the X-band linac structure is shown in Fig. 1 and its parameters are summarized in Tables 1 and 2. The next steps in the process are to simulate the X-band linac with a copper shell and design the heat dissipation method for the structure. Then it will be built and tested as an elec- tron beam source for the medical CyberKnife project. Inde- pendently, we also have been optimizing a longer X-band linac structure with 25 cells. REFERENCES [1] http://www.isu.edu/∼yjkim [2] http://www.kaeri.re.kr [3] http://www.irtx.co.kr [4] www.cyberknife.com [5] Yasser Nour et al., in Proc. IPAC2013, Shanghai, China. [6] http://www2.l-3com.com/edd/pdfs/EDDPM1110Xdatasheet.pdf [7] http://laacg1.lanl.gov/laacg/services/download sf.phtml [8] D. Alesini et al., Nucl. Instr. and Meth. A 554 (2005) 1. [9] http://www.cst.com/