Slide 1

High Efficiency Klystron Design and Simulations Chiara Marrelli, Wednesday 12.12.2012 Slide 2 Introduction Design of high efficiency power klystron to meet the large power needs of CLIC: Goal efficiency above 70% (state of the art is around 65%) The design is based on some basic ideas: 1.Go to extremely low perveance; 2.Use of high harmonic cavities (2 nd and 3 rd ) 3.Optimization of the output cavity; 4.Single beam device (low power possible use of more devices in parallel). Slide 3 Outline Simulations and optimization with AJDisk, a dedicated 1-D klystron code from SLAC; Idler cavities RF design (SUPERFISH, HFSS); Input cavity (and coupler) RF design (HFSS); GdfidL PIC simulations. Traveling Wave Output cavity design and issues. Part 1: Part 2: Slide 4 Klystron design Extremely low Perveance=I 0 /V 0 3/2 = 85-0.2x K Igor Syratchev = 78-0.16x K - Thales (C. Lingwood 25/1/2007) I 0 =8.21 A V 0 =115 kV P= 0.21 Use of high harmonic cavities ( ) =electron transit time from input to output Maximum for () periodic function of n=1 0.58 n=2 0.73 n=3 0.80 n=4 0.83 (*) (*) R. Warnecke, J. Bernier, P. Gunard, Groupement et dgroupement au sein dun faisceau cathodique inject dens un espace exempt de champs extrieurs aprs avoir t modul dans sa vitesse. Slide 5 AJDisk simulations 1 D code currently used at SLAC for the design of round and sheet beem klystrons; The beam is splitted into a series of disks of charge moving only in the longitudinal direction; Disks are acted by both the cavity fields and the space charge fields; It cant simulate traveling wave output structures. AJDisk outputs: Cavity complex voltages Beam current (amplitude and phase) in the cavities Particles minimum Gain Efficiency Maximum output electric field Slide 6 AJDisk simulations Electronic design: Io(A): 8.2100 Vo(kV): 115 f(MHz): 1000.0000 Pin(W): 93.0000 Beam radius b (mm): 5.5000 Fill Factor: 0.6875 Cavity RQ(ohms) M Qe Qo f(MHz) z(mm)) Harmonic 1 180.00 0.9400 485.00 9593.48 1000.000 70.0001 2 211.00 0.9378 95000.00 9464.26 1005.000 170.000 1 3 120.00 0.9310 95000.00 15300.00 1981.000 455.000 2 4 118.00 0.8850 95000.00 12300.00 2983.000 720.000 3 5 84.60 0.9358 95000.00 17407.90 1011.000 1290.000 1 6 185.00 0.9400 50.00 9593.48 1000.000 1580.000 1 Main parameters: Perveance(uK): 0.2118 v/c: 0.5764 BetaE(rad/m): 36.3363 Lambda(m): 0.1729 LambdaP(m): 0.4671 LambdaQ(m): 5.1443 AJDisk cannot do Traveling Waves! Slide 7 Electronic design: Results: AJDisk simulations FOURIER COMPONENTS AND PHASES OF INDUCED CURRENT Cavity DC Component 1st Harmonic 2nd Harmonic 3rd Harmonic 4th Harmonic 1 8.2100 ( 0.00) 0.0290 ( 53.45) 0.0006 ( 1.50) 0.0000 ( -63.89) 0.0000 (-139.40) 2 8.2100 ( 0.00) 0.5487 (-126.52) 0.0356 ( -45.28) 0.0024 ( 25.02) 0.0001 ( 86.47) 3 8.2105 ( 0.00) 4.6440 ( -0.70) 2.1973 (-171.87) 1.1225 ( 14.35) 0.5682 (-160.11) 4 8.2110 ( 0.00) 7.2577 ( 166.82) 0.5722 ( 131.17) 1.8123 ( -12.33) 0.8596 ( -8.07) 5 8.2092 ( 0.00) 9.7438 ( 58.11) 1.5082 ( -82.06) 0.4755 ( 0.72) 0.3885 (-158.86) 6 8.2116 ( 0.00) 12.9051 ( 163.50) 7.2559 ( 155.78) 3.6206 ( 153.41) 1.8711 ( 151.59) ********************** Simulated Power by Cavity ******************** Cavity Pexternal (kW) Pohmic (kW) Pohmic/A (kW/cm^2) 1 0.00000 0.00248 0.00000 2 0.00000 0.03067 0.00000 3 0.00000 4.33299 0.00000 4 0.00000 1.32412 0.00000 5 0.00000 0.40726 0.00000 6 762.28249 3.97292 0.00000 Sum 762.28249 10.07044 Min v/c: 0.0175 z (Min v/c): 1.7465 Max I1/I0: 1.8131 z (Max I1/I0): 1.5697 Gain(dB): 39.14 Output Max E-Field (kV/cm): 59.3764 Slide 8 AJDisk simulations Electronic design: Efficiency ( Electric ) = 0.8148 Efficiency ( Circuit ) = 0.9948 Efficiency ( Total ) = 0.8106 Cavity Voltages: Simulated Analytic Cavity V(kV) Phase(deg) V(kV) Phase(deg) 1 5.9760 ( 0.00) 5.9760 ( 0.00) 2 11.6064 ( 142.87) 11.5958 ( 147.21) 3 13.8112 ( -81.68) 28.1735 ( 97.08) 4 18.8150 ( 78.08) 75.5247 ( -92.81) 5 37.6742 ( -32.05) 46.7529 ( -23.79) 6 118.7528 ( -16.50) 206.5779 ( 0.79) Slide 9 Cavity design Idler cavities: Second cavity (1 st harm): R/Q=211 f=1005 MHz M=0.938 Third cavity (2 nd harm): R/Q=120 f=1981 MHz M=0.931 Slide 10 Cavity design Idler cavities: Fourth cavity (3 th harm): R/Q=118 f=2983 MHz M=0.885 Fifth cavity (1 st harm): R/Q=84 f=1011 MHz M=0.936 Slide 11 Cavity design Input cavity: Q ext =485 R/Q=180 f=1000 MHz M=0.94 Slide 12 PIC simulations 1 First round of simulations with GdfidL: simulation of first three cavities (before optimization): running on one single machine (8 cores) large mesh (2 mm beam radius is 5.5 mm) simulation time ~ 1 week (for t=10 s) For the PIC simulation with GdfidL we have to take in account that: 1.GdfidL cannot simulate losses in copper; we need to introduce some loss mechanism in cavities (easy) and pipes (to avoid high frequency modes excited by the beam); 2.Since we are using a very large mesh (to reduce simulation time), if we keep the same geometry as in HFSS for cavities we are off in frequency: this is why we have to introduce tuners, and if it is not enough, we also have to change a bit the geometry; 3.To calculate the external Q for the input cavity we need to simulate the input cavity also in time domain. Slide 13 PIC simulations 2 Example: input cavity with coupler Tuner inside the cavity: - r slightely different from 1 (to change frequency) - Mkappa (magnetic conductivity) of the tuner material with some value to take in account ohmic losses in the cavities: Losses due to orientation of magnetic dipoles (magnetic current - variations of B) Damping rings on the pipe: to avoid high frequency modes excited by the beam in the pipe (closed at the end) - material material = 6 type = normal epsr = 1 kappa = 0 muer = 1 mkappa = 10 4 Slide 14 PIC simulations 3 Example: input cavity with coupler without damping rings Gap voltage f= 1 GHz f1= 1 GHz f2 14.3 GHz Slide 15 PIC simulations 3a Example: input cavity with coupler power lost in dampers Average value on one period (after1000 simulation cycles: t=1 s) Higher damper Ploss=2.12 kW (average) Lower damper Ploss=2.17 kW (average) Beam direction Pl [W] t [n timesteps] Slide 16 PIC simulations 4 First three cavities (before optimization): Cav #f (GHz)R/QZ (cm)Qextharm 11.00018305001 21.00518015-1 31.98111845-2 Driving freq=1.000 GHz Vbeam=115 KV Ibeam=8.21 A a=0.55 cm (beam radius) b=0.8 cm (pipe radius) B z = 0.18 T Beam Current after 2 nd cavity Slide 17 PIC simulations 5 Problem with 2 nd harmonic cavity: dipole mode excited at 4.8 GHz Beam Current after cavity: Voltage in the cavity: Slide 18 PIC simulations 6 New set of simulations using a smaller mesh (1.25 mm) and optimization of cavities to meet the parameters found with AJDisk Try to run simulations on the batch system..... problems with LSF Now back to one single machine (since one week simulated time=only 1 s ): Voltage in input cavity (first harmonic)Voltage in second cavity (first harmonic) Slide 19 PIC simulations 7 Voltage in third cavity (second harmonic) Voltage in fourth cavity (third harmonic) TM mode at 5 GHz Slide 20 PIC simulations 8 Voltage in fifth cavity (first harmonic) Slide 21 PIC Simulations 9 Current Between cavity 2 and 3Current Between cavity 3 and 4 Slide 22 PIC Simulations 10 Current Between cavity 4 and 5Current after cavity 5 Slide 23 Output Cavity 1 The Klystron global efficiency greatly depends on the output cavity efficiency Electrons have to slow down (ideally) until they give their kinetic energy fully to the RF field Main limitations and issues: slowest electron speed (to avoid reflected electrons): energy spread has to be kept to the minimum to efficiently bunch the beam; Since the beam is slowing down, we have to be sure that particles do not slip on the accelerating crest of the field (taking energy from the field); Electrons are not relativistic; Space charge forces become dominant; The current flowing in each section of the output cavity increases at each step (interaction current with the gap + current flow from previous sections). To take in account all this we can try to use a design method based on traveling wave theory Slide 24 Output Cavity 2 Design method: Design each cell as an infinite array of identical cells with known frequency and phase velocity characteristics; Take the cells and merge them together; if cells have different irises, take at each iris the average between the two; 1.Design first cell keeping phase advance equal to for a phase velocity which matches the beam average initial speed; 2.Calculate speed of particles after first cell; 3.Design second cell so that the phase advance is for a phase velocity equal to the speed of particles after first cell; 4.And so on..... How do we calculate the speed of particles (current) after first cell? Slide 25 Output Cavity 3 If the coupling between cells in the traveling wave structure is small compared to the energy oscillating in each period between the electric and the magnetic field in the cells, the traveling wave field can be approximated as a superposition of standing waves oscillating in each cell; These standing waves are very similar to the TM 010 mode (eigenmodes) of each isolated cavity; Calculation of a steady state solution in a traveling wave cavity loaded by a bunched beam based on a coupled resonator model 1 1. T. Shintake, Analysis of the transient response in periodic structures based on a coupled-resonator model Each cell of the structure is then described by: its cell mode its equivalent circuit (high order modes are neglected) Slide 26 Output Cavity 4 So that we get, for the total field: With the normalization: How do I get (TM 010 - like mode) ? Field can be written introducing the cell voltage: Field profile Complex amplitude Superfish simulation: Magnetic walls Traveling wave field is then represented as (1D approximation): Phase advance per cell n Mode of cell n Calculation of the cell field: Complex voltage depends on the beam for amplitude and phase. Slide 27 Output Cavity 5 Equivalent circuit: 1. T. Shintake, Analysis of the transient response in periodic structures based on a coupled-resonator model 1 Normalizations: Circuit parameters: Combining the equations we get: Slide 28 Output Cavity 6 Equivalent circuit: With: (1) Matrix form (example for 3 cells): If cells are different k m,n is the average value between k m and k n Slide 29 Output Cavity 7 Calculation of beam induced current: 1 st harmonic of beam induced current: Cell field calculated on electrons trajectories Changing variable from z to t: Slide 30 Output Cavity 8 1 D independent variable z: With normalized variables: Integration of equations of motion: Slide 31 Output Cavity 9 Assume a guess value for (complex) vector V Integrate eq. of motion with the field Calculate the induced current in each cell Solve system (1) and find the new V vector Iterate until convergence Algorithm: Slide 32 Output Cavity 10 Implementation in Mathematica: Beam from AJDisk initial average speed of particles ~ 0.55 c f=1.000 GHz =phase advance per cell=120 L 1 =5.49 cm=L 2 =L 3 Q ext3 =50 First step: simulation of three identical cells, all with L=L 1 =(v ph )/ znzn pnpn V 1 ={177512-259263,-216599+242065,55308.5+32690.7 } Slide 33 Output Cavity 11 Implementation in Mathematica: Second step: take from previous simulation the average speed of electrons after first cell (v e2 =0.51 c) and design second cell with a gap length so that L 2 =(v ph )/ =(v e2 )/ L 3 =L 2 =4.36cm Leave L 1 as before Cell iris is not changed Cell radius is adjusted to keep f=1.000 GHz znzn pnpn Second step V 2 ={175301-157134,-190530.+126376,47555.5+36314.8 } Slide 34 Output Cavity 12 Implementation in Mathematica: Third step: take from previous simulation the average speed of electrons after second cell (v e3 =0.322 c) and design third cell with a gap length so that L 3 =(v ph )/ =(v e3 )/ =3.2 cm. Leave L 1 and L 2 as before Cell iris is not changed Cell radius is adjusted to keep f=1.000 GHz znzn pnpn Second step Third step V3={106372-88407.7,-115395.+51937.2,27334.9+32300.6} Slide 35 Output Cavity: problems and issues 1. The phase difference of the voltages in cells is very different from 120 V3={106372-88407.7,-115395.+51937.2,27334.9+32300.6} 2 - 1 =195.5 3 - 2 =-106 2. The procedure show that particles slow down more in the structure obtained from second iteration than in the last one. Maybe more iterations required? Suggestions or corrections are welcomed..