A Sensitivity-Based Gate Location 

Algorithm for Optimal Mold 

Filling During the Resin-Transfer 

Molding (RTM) Process 

by Roopesh Mathur, Suresh G. Advani, and 

Bruce K. Fink 

ARL-TR-2771 July 2002 

Approved for public release; distribution is unlimited. 
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Army Research Laboratory 

Aberdeen Proving Ground, MD 21005-5069 

ARL-TR-2771 July 2002 

A Sensitivity-Based Gate Location 

Algorithm for Optimal Mold 

Filling During the Resin-Transfer 

Molding (RTM) Process 

Roopesh Mathur and Suresh G. Advani 

University of Delaware 

Bruce K. Fink 

Weapons and Materials Research Directorate, ARL 

Approved for public release; distribution is unlimited. 
ii

Abstract 

A sensitivity-based gate location algorithm for optimal filling of molds in the 

resin-transfer molding (RTM) process is described in this report. In the RTM 

process for composite manufacturing, a fiber preform is placed inside a mold and 

resin is injected into it under high pressures through inlets or gates. Finiteelement-based resin-flow simulation codes have been successfully used for 

modeling and analysis of the process. This process is increasingly used for the 

manufacture of three-dimensional (3-D) composite parts with material and 

geometric complexities. In such cases, the locations of the gates cannot be 

determined easily except by expensive trial and error, both experimentally and 

computationally. Hence, systematic search methods working in tandem with 

flow simulations are necessary to determine gate locations for optimal filling. In 

this report, the governing equation for pressure along with the boundary 

conditions is differentiated with respect to the coordinates of each gate. The 

resulting system of pressure sensitivity fields is solved in parallel with the flow 

problem. The sensitivity fields are used to compute the gradients of the fill time 

with respect to the gate’s coordinates. A standard gradient-based optimization 

algorithm is then used to determine the new coordinates of the gate location. 

This methodology of finding optimal gate locations for mold filling in RTM was 

demonstrated with a case study in which mold-filling time was minimized for 

the case of a single gate. 
iii

Contents 

List of Figures v

1. Introduction 1

2. RTM: Process Modeling and Liquid-Injection Molding Simulations 2

3. Gate Location: Derivation of Pressure Sensitivity Fields 3

4. Design Sensitivity Analysis for Fill-Time Optimization 3

5. References 9

Report Documentation Page 11 
iv 

INTENTIONALLY LEFT BLANK. 
v 

List of Figures 

Figure 1. Composite part used for fill-time optimization (units in meters). .......... 5

Figure 2. Schematic of sensitivity-based gate location optimization 

algorithm. ................................................................................................................... 6

Figure 3. Results from optimization algorithm: plot of fill time with 

iteration number for part (a) without racetracking and thick sections, 

(b) without racetracking and with thick sections, and (c) with both 

racetracking and thick sections present. ................................................................ 6

Figure 4. Results from optimization algorithm: plot of movement of 

gates for two runs of the gradient-based optimizer for each case. It can 

be noted that in (a) and (b), the optimal location lies at the center of 

the mold for nonracetracking cases; and in (c), at the centers of the 

racetracking channels for the racetracking case.................................................... 7
vi 

INTENTIONALLY LEFT BLANK.
1

1. Introduction 

Liquid-injection molding processes, such as resin-transfer molding (RTM), are 

being used in the manufacture of composite structures that have varying 

material properties in aerospace and defense applications. These processes are 

attractive because they enable the manufacture of parts with good 

strength-to-weight ratio and with material properties tailored to specifications 

and in desired “net” shapes. In RTM, the reinforcement material or “preform” is 

placed inside a mold. The mold is closed and the resin is injected into it at high 

pressure through inlet ports or “gates.” Outlet ports or “vents” are used to 

enable the displaced air to escape out of the mold. The resin impregnates the 

preform and polymerizes to form the solid part, which is then demolded [1]. 

Optimization of the filling process is critical due to the need to decrease the 

process cycle time and to complete the filling before the resin starts to cure. 

Finite-element-based mold-filling simulations based on process models can track 

the flow front location during the impregnation of the preform, once the user has 

specified the locations of inlet gates and vents. However, there are as many 

choices for gate and vent locations as there are nodes in the finite-element mesh 

for the mold geometry. For parts having material and geometric complexities, 

the location of gates is nonintuitive, and extensive trial and error is involved in 

optimizing their position. Hence, there is a need for a systematic search method 

which can be interactively coupled with filling-simulation capabilities to 

determine optimally placed gates and vents in order to minimize fill times as 

well as dry spot formation. 

In earlier work [2, 3], analytical sensitivity-based techniques have been 

developed that embed the process models in a gradient-based optimization 

framework to develop a powerful tool for optimal mold design for polymer 

processes such as injection molding, extrusion, and compression molding. In 

sensitivity-based optimization algorithms, the governing equations and 

boundary conditions, including a process model, are differentiated with respect 

to each design parameter to yield a system of equations for the sensitivity of the 

primary process variables (such as pressure and velocity) with respect to that 

design parameter. The new systems of governing equations in the design 

sensitivities are then solved to yield the design sensitivity fields. These design 

sensitivity fields can then be used to evaluate the gradients of the cost function, 

which measures the efficacy of the design under consideration. These gradients 

can then be used in a standard gradient-based optimization algorithm to 

improve the design. In the case of molding processes such as RTM, the problem 

involves a moving boundary, hence a domain, that changes at every time–step, 

thus adding to the challenge in computing design sensitivity fields. 
2

In this report, a design sensitivity-based optimization algorithm is presented for 

the RTM process with the injection of resin at constant pressure. The process 

model is presented and the numerical solution technique is described. The 

solution method is implicit in time, thus making the computation of the design 

sensitivity fields challenging. The governing equations for the design sensitivity 

fields are derived, which are directly parallel to those of the primary problem 

and can be solved in the same manner. The gradients of the cost function (i.e., fill 

time) were derived in terms of the design sensitivity fields. The results of a case 

study in fill time minimization are then presented. 

2. RTM: Process Modeling and Liquid-Injection Molding 

Simulations 

The flow of resin through porous media, such as fiber preforms during the RTM 

process, is governed by Darcy’s Law [4]: 

P.

μ

•∇ − = Ku

 (1) 

Here, u is the Darcy’s velocity, which is defined as the total flow rate per total 

cross-sectional area; K is the permeability tensor, which characterizes the ease of 

flow through the fiber preform; and μ is the viscosity of the resin. This, when 

coupled with the continuity equation for incompressible flow, this gives the 

governing equation for the fluid pressure field inside a region permeated by the 

fluid: 

P) 0.

μ

∇ • ( • ∇ = K

 (2) 

The boundary conditions for a constant pressure injection are: 

( ) 0 .

( ) 0

( ) , 0

P at mold wall Kn

P x at free surface

P x P

flowfront

gate

• •∇ =

=

=

μ

r

r

r

, and (3) 

(1) 

(2) 
3

3. Gate Location: Derivation of Pressure Sensitivity Fields 

Consider a single gate location for a given two-dimensional mold that has the 

coordinates (ε,η). The pressure fields at each time-step and the fill time are 

dependent on the location of this gate and the pressure imposed at it. The effect 

of the gate location on the pressure field is encapsulated in the design sensitivity 

fields, ∂ε

∂P

and 

∂η

∂P . The equations governing these fields can be derived 

directly from the primary partial differential equation (PDE), describing the resin 

flow in the mold by direct differentiation as follows: 

) 0

μ

(

P) 0

μ

(

= ∂

∂

⇒ ∇ • •∇

















∇ • •∇ = ∂

∂

ε

ε

K P

K

 and 

) 0.

μ

(

P) 0

μ

(

= ∂

∂

⇒ ∇ • •∇

















∇ • •∇ = ∂

∂

η

η

K P

K

 (4) 

Thus, we obtain auxiliary PDEs for the design sensitivity fields. The boundary 

conditions for these PDEs are similarly derived from the original boundary 

conditions and are stated as follows: 

at mold wall K Pn

x at free surface P

x

P

x

P

flowfront

gate

( ) 0

( ) 0

( )

= ∂

∂ • •∇

= ∂

∂

∂

∂ = − ∂∂

μ ε

ε

ε

r

r

r

 and 

( ) 0 .

( ) 0

( )

at mold wall K Pn

x at free surface P

y

P

x

P

flowfront

gate

= ∂

∂ • •∇

= ∂

∂

∂

∂ = − ∂∂

μ η

η

η

r

r

r

 (5) 

This system of auxiliary equations can now be solved in the same way as the 

primary problem to yield a solution for the design sensitivity fields at each time 

step. This approach can be easily extended to multiple gates. 

4. Design Sensitivity Analysis for Fill-Time Optimization 

In design optimization, the performance of the design is evaluated 

mathematically using a cost function or response functional. Once evaluated, the 

gradient of the cost function with respect to the design parameters can be 

incorporated into any standard gradient-based optimization algorithm to search 

for the best possible design to minimize the cost function. In gate location 

optimization, one measure of the performance of the gate(s) is the time it takes to 
4

fill the mold. The design sensitivity fields, once determined at each time-step, 

can be used to find the gradient of fill time with respect to the gate locations. 

Supposing the volume of the mold is V, for a single gate it can be stated that: 

.

0

dt

f t

V = ∫Qgate

 (6) 

Because the volume of the mold is a constant, it follows that: 

0

0

= ∂

∂ = ∂∂ ∫ dt

f t

Q V

gate ε ε

 and 0.

0

= ∂

∂ = ∂∂ ∫ dt

f t

Q V

gate η η (7) 

Differentiating the integrals and separating out the terms we get: 

( ) 0 ( ) 0;

0 0

= ∂

∂

+

∂

∂ = ∂∂

+

∂

∂

∫ ∫ gate f

gate f

gate f

gate f Q t

t

dt

f t

Q Q t andt

dt

f t

Q

ε ε η η (8) 

. ( ) ( )

0 0

gate f

gate

f

gate f

gate

f

Q t

dt

f t

Q

t

and

Q t

dt

f t

Q

t ∫ ∫ ∂

∂

= − ∂

∂ ∂

∂

= − ∂

∂

⇒ η

η

ε

ε

 

Case Study: Fill-Time Optimization of a Complex Composite Part 

In earlier sections, a sensitivity-based method to determine the gradients of mold 

fill time with respect to the coordinates of the gates has been derived from the 

physics of the mold-filling process. This method was coupled with Cauchy’s 

method for unconstrained optimization [5] to obtain a gate location optimization 

algorithm for RTM. In a case study, the gate location problem was solved for the 

mold filling of a complex composite part. 

The optimization problem is to find the gate location that minimizes fill time for 

the selected mold geometry and material parameters (Figure 1). The composite 

part has thicker sections at the center corresponding to the wheel wells. The 

permeabilities of the preform material are K11=K22=10-9m2 for the thin section and 

three orders of magnitude lower, K11=K22=10-12m2, for the thick section. The 

injection at the gate is performed under constant pressure, which was arbitrarily 

chosen to be 2 atm at the gate. In addition, racetracking channels are created 

when there is a gap between the preform and the mold wall. The channels 

provide a path of least resistance to the flow and dramatically affect the flow 

front movement of the resin in the mold. Thus, the optimal location of the gate 

to minimize fill time will change. 

(6) 

(8) 

(9) 
5

0.4572

0.9144

0.15

0.15

0.3

Figure 1. Composite part used for fill-time optimization (units in meters). 

The mold geometry was discretized using the PATRAN finite-element 

preprocessor, and a racetracking channel of 2.54-cm width and 0.64-cm depth 

around the boundary of the mold was incorporated into the FEM model of the 

mold. The Laboratory Information Management System (LIMS) [6] was used for 

simulation of the filling process and for the calculation of the design sensitivity 

fields. The LIMS software distribution includes LBASIC, a scripting language 

that can be used both as an interface for the mold-filling simulations and as a 

computer language. Using these capabilities to seamlessly integrate numerical 

optimization with mold-filling simulations (Figure 2), the sensitivity-based gate 

location algorithm was thus coded into a LBASIC script. The optimization study 

was undertaken for three cases: (1) a part without racetracking and thick 

sections, (2) a part without racetracking and with thick sections, and (3) a part 

with both racetracking and thick sections present. 

The results from the sensitivity-based gate location algorithm for fill-time 

optimization are plotted in Figures 3 and 4. As seen in the figures, the algorithm 

was able to reduce the fill time for each case to a minimum value for every 

starting point. In addition, it can be seen from the plots of the sequence of the 

gates generated by the optimization algorithm that it was able to reach the best 

possible solution in each case. In the cases without racetracking (cases [a] and 

[b]), the best gate location is at the center of the composite part, whereas in the 

case with racetracking, the best gate locations lie along the shortest segments of 

the racetracking channel. 
6

Compute contributions to cost function, J

and gradients 

ε ∂η

∂

∂

∂J J ,

 Read .in LIMS file and

 gate location (x,y, node number)

Solve and advance flow front,

compute y

P

x

P

∂

∂

∂

∂ ,

Solve parallel problem for 

ε ∂η

∂

∂

∂P P , fields

Simulation Done? Yes

No

Search direction given by

and get new gate location ε ∂η

∂

∂

∂J J ,

Convergence?

No

Figure 2. Schematic of sensitivity-based gate location optimization algorithm. 

700

5700

10700

15700

20700

25700

30700

012345

Iteration Number

Fill time (seconds)

0

100

200

300

400

500

600

700

800

900

1000

Fill time (seconds)

Run 3 (on left axis)

Run 2 (on right axis)

Case (b) Case (c)

Case (a)

40

85

130

175

220

0123456

Iteration Number

Fill Time (s)

Run 1

Run 4

Run 5

0

5000

10000

15000

20000

25000

30000

0123456

Iteration Number

Fill time (seconds)

225

230

235

240

245

250

255

260

265

Fill time (seconds) 

Run 3 (left scale)

Run 1 (right scale)

Run 2 (right scale)

Figure 3. Results from optimization algorithm: plot of fill time with iteration number for 

part (a) without racetracking and thick sections, (b) without racetracking and 

with thick sections, and (c) with both racetracking and thick sections present. 
7

Figure 4. Results from optimization algorithm: plot of movement of gates for two runs 

of the gradient-based optimizer for each case. It can be noted that in (a) and 

(b), the optimal location lies at the center of the mold for nonracetracking 

cases; and in (c), at the centers of the racetracking channels for the racetracking 

case. 

Case (a)

Run 1

Run 4

Case (b)

Run 2

Run 3

Case (c)

Run 1

Run 3
8

INTENTIONALLY LEFT BLANK. 
9

5. References 

1. Fong, L., and S. G. Advani. Lubin's Handbook of Composites II. Edited by S.T. 

Peters, 1998. 

2. Smith, D. E., D. E. Tortorelli, and C. L. Tucker III. “Analysis and Sensitivity 

Analysis for Polymer Injection and Compression Molding.” 

Computer Methods in Applied Mechanics and Engineering, vol. 167, pp. 325–344, 

1998. 

3. Smith, D. E., D. E. Tortorelli, and C. L. Tucker III. “Optimal Design for 

Polymer Extrusion: Parts I and II.” Computer Methods in Applied Mechanics 

and Engineering, vol. 167, pp. 283–324, 1998. 

4. Bruschke, M. V., and S. G. Advani. “A Finite Element/Control Volume 

Approach to Mold Filling in Anisotropic Porous Media.” Polymer Composites, 

vol. 11, pp. 398–405, 1990. 

5. Vanderplaats, G. N. Numerical Optimization Techniques for Engineering Design. 

New York: McGraw-Hill, 1984. 

6. Simacek, P., E. M. Sozer, and S. G. Advani. “User Manual for DRAPE 1.1 

and LIMS 4.0.” CCM Technical Report, Center for Composite Materials, 

University of Delaware, Newark, DE, 1998. 
10

INTENTIONALLY LEFT BLANK.
11

composite material, optimization, resin transfer molding, RTM 13

A sensitivity-based gate location algorithm for optimal filling of molds in the resin-transfer molding (RTM) process is

described in this report. In the RTM process for composite manufacturing, a fiber preform is placed inside a mold and

resin is injected into it under high pressures through inlets or gates. Finite-element-based resin-flow simulation codes

have been successfully used for modeling and analysis of the process. This process is increasingly used for the

manufacture of three-dimensional (3-D) composite parts with material and geometric complexities. In such cases, the

locations of the gates cannot be determined easily except by expensive trial and error, both experimentally and

computationally. Hence, systematic search methods working in tandem with flow simulations are necessary to

determine gate locations for optimal filling. In this report, the governing equation for pressure along with the boundary

conditions is differentiated with respect to the coordinates of each gate. The resulting system of pressure sensitivity

fields is solved in parallel with the flow problem. The sensitivity fields are used to compute the gradients of the fill time

with respect to the gate's coordinates. A standard gradient-based optimization algorithm is then used to determine the

new coordinates of the gate location. This methodology of finding optimal gate locations for mold filling in RTM was

demonstrated with a case study in which mold-filling time was minimized for the case of a single gate.

*University of Delaware, Newark, DE 19716

ARL-TR-2771

U.S. Army Research Laboratory

ATTN: AMSRL-WM-MB

Aberdeen Proving Ground, MD 21005-5069

Bruce K. Fink, Roopesh Mathur,* and Suresh G. Advani*

A Sensitivity-Based Gate Location Algorithm for Optimal Mold Filling During the AH42

Resin-Transfer Molding (RTM) Process

July 2002 Final, October 1999–May 2000

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 AMSTA SF 

 WARREN MI 48397-5000 

 1 COMMANDER 

 US ARMY TACOM 

 PM BFVS 

 SFAE GCSS W BV 

 6501 ELEVEN MILE RD 

 WARREN MI 48397-5000 

 1 DIRECTOR 

 AIR FORCE RESEARCH LAB 

 MLLMD 

 D MIRACLE 

 2230 TENTH ST 

 WRIGHT PATTERSON AFB OH 

 45433-7817 

 1 OFC OF NAVAL RESEARCH 

 J CHRISTODOULOU 

 ONR CODE 332 

 800 N QUINCY ST 

 ARLINGTON VA 22217-5600 

 1 US ARMY CERL 

 R LAMPO 

 2902 NEWMARK DR 

 CHAMPAIGN IL 61822 

 1 COMMANDER 

 US ARMY TACOM 

 PM SURVIVABLE SYSTEMS 

 SFAE GCSS W GSI H 

 M RYZYI 

 6501 ELEVEN MILE RD 

 WARREN MI 48397-5000 

 1 COMMANDER 

 US ARMY TACOM 

 CHIEF ABRAMS TESTING 

 SFAE GCSS W AB QT 

 T KRASKIEWICZ 

 6501 ELEVEN MILE RD 

 WARREN MI 48397-5000 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

5

 1 COMMANDER 

 WATERVLIET ARSENAL 

 SMCWV QAE Q 

 B VANINA 

 BLDG 44 

 WATERVLIET NY 12189-4050 

 3 ARMOR SCHOOL 

 ATZK TD 

 R BAUEN 

 J BERG 

 A POMEY 

 FT KNOX KY 40121 

 2 HQ IOC TANK 

 AMMUNITION TEAM 

 AMSIO SMT 

 R CRAWFORD 

 W HARRIS 

 ROCK ISLAND IL 61299-6000 

 2 COMMANDER 

 US ARMY AMCOM 

 AVIATION APPLIED TECH DIR 

 J SCHUCK 

 FT EUSTIS VA 23604-5577 

 14 COMMANDER 

 US ARMY TACOM 

 AMSTA TR R 

 R MCCLELLAND 

 D THOMAS 

 J BENNETT 

 D HANSEN 

 AMSTA JSK 

 S GOODMAN 

 J FLORENCE 

 K IYER 

 D TEMPLETON 

 A SCHUMACHER 

 AMSTA TR D 

 D OSTBERG 

 L HINOJOSA 

 B RAJU 

 AMSTA CS SF 

 H HUTCHINSON 

 F SCHWARZ 

 WARREN MI 48397-5000 

 14 BENET LABORATORIES 

 AMSTA AR CCB 

 R FISCELLA 

 M SOJA 

 E KATHE 

 M SCAVULO 

 G SPENCER 

 P WHEELER 

 S KRUPSKI 

 J VASILAKIS 

 G FRIAR 

 R HASENBEIN 

 AMSTA CCB R 

 S SOPOK 

 E HYLAND 

 D CRAYON 

 R DILLON 

 WATERVLIET NY 12189-4050 

 1 DIRECTOR 

 US ARMY AMCOM 

 SFAE AV RAM TV 

 D CALDWELL 

 BLDG 5300 

 REDSTONE ARSENAL AL 

 35898 

 1 NAVAL SURFACE WARFARE CTR 

 DAHLGREN DIV CODE G06 

 DAHLGREN VA 22448 

 2 US ARMY CORPS OF ENGINEERS 

 CERD C 

 T LIU 

 CEW ET 

 T TAN 

 20 MASS AVE NW 

 WASHINGTON DC 20314 

 1 US ARMY COLD REGIONS 

 RSCH & ENGRNG LAB 

 P DUTTA 

 72 LYME RD 

 HANOVER NH 03755 

 1 USA SBCCOM PM SOLDIER SPT 

 AMSSB PM RSS A 

 J CONNORS 

 KANSAS ST 

 NATICK MA 01760-5057 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

6

 2 USA SBCCOM 

 MATERIAL SCIENCE TEAM 

 AMSSB RSS 

 J HERBERT 

 M SENNETT 

 KANSAS ST 

 NATICK MA 01760-5057 

 2 OFC OF NAVAL RESEARCH 

 D SIEGEL CODE 351 

 J KELLY 

 800 N QUINCY ST 

 ARLINGTON VA 22217-5660 

 1 NAVAL SURFACE WARFARE CTR 

 TECH LIBRARY CODE 323 

 17320 DAHLGREN RD 

 DAHLGREN VA 22448 

 1 NAVAL SURFACE WARFARE CTR 

 CRANE DIVISION 

 M JOHNSON CODE 20H4 

 LOUISVILLE KY 40214-5245 

 2 NAVAL SURFACE WARFARE CTR 

 U SORATHIA 

 C WILLIAMS CD 6551 

 9500 MACARTHUR BLVD 

 WEST BETHESDA MD 20817 

 2 COMMANDER 

 NAVAL SURFACE WARFARE CTR 

 CARDEROCK DIVISION 

 R PETERSON CODE 2020 

 M CRITCHFIELD CODE 1730 

 BETHESDA MD 20084 

 8 DIRECTOR 

 US ARMY NATIONAL GROUND 

 INTELLIGENCE CTR 

 D LEITER MS 404 

 M HOLTUS MS 301 

 M WOLFE MS 307 

 S MINGLEDORF MS 504 

 J GASTON MS 301 

 W GSTATTENBAUER MS 304 

 R WARNER MS 305 

 J CRIDER MS 306 

 220 SEVENTH ST NE 

 CHARLOTTESVILLE VA 22091 

 1 NAVAL SEA SYSTEMS CMD 

 D LIESE 

 2531 JEFFERSON DAVIS HWY 

 ARLINGTON VA 22242-5160 

 1 NAVAL SURFACE WARFARE CTR 

 M LACY CODE B02 

 17320 DAHLGREN RD 

 DAHLGREN VA 22448 

 1 EXPEDITIONARY WARFARE 

 DIV N85 

 F SHOUP 

 2000 NAVY PENTAGON 

 WASHINGTON DC 20350-2000 

 8 US ARMY SBCCOM 

 SOLDIER SYSTEMS CENTER 

 BALLISTICS TEAM 

 J WARD 

 W ZUKAS 

 P CUNNIFF 

 J SONG 

 MARINE CORPS TEAM 

 J MACKIEWICZ 

 BUS AREA ADVOCACY TEAM 

 W HASKELL 

 AMSSB RCP SS 

 W NYKVIST 

 S BEAUDOIN 

 KANSAS ST 

 NATICK MA 01760-5019 

 7 US ARMY RESEARCH OFC 

 A CROWSON 

 H EVERETT 

 J PRATER 

 G ANDERSON 

 D STEPP 

 D KISEROW 

 J CHANG 

 PO BOX 12211 

 RESEARCH TRIANGLE PARK NC 

 27709-2211 

 1 AFRL MLBC 

 2941 P ST RM 136 

 WRIGHT PATTERSON AFB OH 

 45433-7750 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

7

 8 NAVAL SURFACE WARFARE CTR 

 J FRANCIS CODE G30 

 D WILSON CODE G32 

 R D COOPER CODE G32 

 J FRAYSSE CODE G33 

 E ROWE CODE G33 

 T DURAN CODE G33 

 L DE SIMONE CODE G33 

 R HUBBARD CODE G33 

 DAHLGREN VA 22448 

 2 NAVAL SURFACE WARFARE CTR 

 CARDEROCK DIVISION 

 R CRANE CODE 2802 

 C WILLIAMS CODE 6553 

 3A LEGGETT CIR 

 BETHESDA MD 20054-5000 

 1 AFRL MLSS 

 R THOMSON 

 2179 12TH ST RM 122 

 WRIGHT PATTERSON AFB OH 

 45433-7718 

 2 AFRL 

 F ABRAMS 

 J BROWN 

 BLDG 653 

 2977 P ST STE 6 

 WRIGHT PATTERSON AFB OH 

 45433-7739 

 5 DIRECTOR 

 LLNL 

 R CHRISTENSEN 

 S DETERESA 

 F MAGNESS 

 M FINGER MS 313 

 M MURPHY L 282 

 PO BOX 808 

 LIVERMORE CA 94550 

 1 AFRL MLS OL 

 L COULTER 

 5851 F AVE 

 BLDG 849 RM AD1A 

 HILL AFB UT 84056-5713 

 1 DIRECTOR 

 LOS ALAMOS NATIONAL LAB 

 F L ADDESSIO T 3 MS 5000 

 PO BOX 1633 

 LOS ALAMOS NM 87545 

 1 OSD 

 JOINT CCD TEST FORCE 

 OSD JCCD 

 R WILLIAMS 

 3909 HALLS FERRY RD 

 VICKSBURG MS 29180-6199 

 3 DARPA 

 M VANFOSSEN 

 S WAX 

 L CHRISTODOULOU 

 3701 N FAIRFAX DR 

 ARLINGTON VA 22203-1714 

 2 SERDP PROGRAM OFC 

 PM P2 

 C PELLERIN 

 B SMITH 

 901 N STUART ST STE 303 

 ARLINGTON VA 22203 

 1 OAK RIDGE NATIONAL 

 LABORATORY 

 R M DAVIS 

 PO BOX 2008 

 OAK RIDGE TN 37831-6195 

 1 OAK RIDGE NATIONAL 

 LABORATORY 

 C EBERLE MS 8048 

 PO BOX 2008 

 OAK RIDGE TN 37831 

 3 DIRECTOR 

 SANDIA NATIONAL LABS 

 APPLIED MECHANICS DEPT 

 MS 9042 

 J HANDROCK 

 Y R KAN 

 J LAUFFER 

 PO BOX 969 

 LIVERMORE CA 94551-0969 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

8

 1 OAK RIDGE NATIONAL 

 LABORATORY 

 C D WARREN MS 8039 

 PO BOX 2008 

 OAK RIDGE TN 37831 

 4 NIST 

 M VANLANDINGHAM MS 8621 

 J CHIN MS 8621 

 J MARTIN MS 8621 

 D DUTHINH MS 8611 

 100 BUREAU DR 

 GAITHERSBURG MD 20899 

 1 HYDROGEOLOGIC INC 

 SERDP ESTCP SPT OFC 

 S WALSH 

 1155 HERNDON PKWY STE 900 

 HERNDON VA 20170 

 3 NASA LANGLEY RSCH CTR 

 AMSRL VS 

 W ELBER MS 266 

 F BARTLETT JR MS 266 

 G FARLEY MS 266 

 HAMPTON VA 23681-0001 

 1 NASA LANGLEY RSCH CTR 

 T GATES MS 188E 

 HAMPTON VA 23661-3400 

 1 FHWA 

 E MUNLEY 

 6300 GEORGETOWN PIKE 

 MCLEAN VA 22101 

 1 USDOT FEDERAL RAILRD 

 M FATEH RDV 31 

 WASHINGTON DC 20590 

 3 CYTEC FIBERITE 

 R DUNNE 

 D KOHLI 

 R MAYHEW 

 1300 REVOLUTION ST 

 HAVRE DE GRACE MD 21078 

 1 MARINE CORPS 

 INTLLGNC ACTVTY 

 D KOSITZKE 

 3300 RUSSELL RD STE 250 

 QUANTICO VA 22134-5011 

 1 DIRECTOR 

 NATIONAL GRND INTLLGNC CTR 

 IANG TMT 

 220 SEVENTH ST NE 

 CHARLOTTESVILLE VA 

 22902-5396 

 1 SIOUX MFG 

 B KRIEL 

 PO BOX 400 

 FT TOTTEN ND 58335 

 2 3TEX CORPORATION 

 A BOGDANOVICH 

 J SINGLETARY 

 109 MACKENAN DR 

 CARY NC 27511 

 1 3M CORPORATION 

 J SKILDUM 

 3M CENTER BLDG 60 IN 01 

 ST PAUL MN 55144-1000 

 1 DIRECTOR 

 DEFENSE INTLLGNC AGNCY 

 TA 5 

 K CRELLING 

 WASHINGTON DC 20310 

 1 ADVANCED GLASS FIBER YARNS 

 T COLLINS 

 281 SPRING RUN LANE STE A 

 DOWNINGTON PA 19335 

 1 COMPOSITE MATERIALS INC 

 D SHORTT 

 19105 63 AVE NE 

 PO BOX 25 

 ARLINGTON WA 98223 

 1 JPS GLASS 

 L CARTER 

 PO BOX 260 

 SLATER RD 

 SLATER SC 29683 

 1 COMPOSITE MATERIALS INC 

 R HOLLAND 

 11 JEWEL CT 

 ORINDA CA 94563 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

9

 1 COMPOSITE MATERIALS INC 

 C RILEY 

 14530 S ANSON AVE 

 SANTA FE SPRINGS CA 90670 

 2 SIMULA 

 J COLTMAN 

 R HUYETT 

 10016 S 51ST ST 

 PHOENIX AZ 85044 

 2 PROTECTION MATERIALS INC 

 M MILLER 

 F CRILLEY 

 14000 NW 58 CT 

 MIAMI LAKES FL 33014 

 2 FOSTER MILLER 

 M ROYLANCE 

 W ZUKAS 

 195 BEAR HILL RD 

 WALTHAM MA 02354-1196 

 1 ROM DEVELOPMENT CORP 

 R O MEARA 

 136 SWINEBURNE ROW 

 BRICK MARKET PLACE 

 NEWPORT RI 02840 

 2 TEXTRON SYSTEMS 

 T FOLTZ 

 M TREASURE 

 1449 MIDDLESEX ST 

 LOWELL MA 01851 

 1 O GARA HESS & EISENHARDT 

 M GILLESPIE 

 9113 LESAINT DR 

 FAIRFIELD OH 45014 

 2 MILLIKEN RSCH CORP 

 H KUHN 

 M MACLEOD 

 PO BOX 1926 

 SPARTANBURG SC 29303 

 1 CONNEAUGHT INDUSTRIES INC 

 J SANTOS 

 PO BOX 1425 

 COVENTRY RI 02816 

 1 BATTELLE NATICK OPNS 

 B HALPIN 

 209 W CENTRAL ST STE 302 

 NATICK MA 01760 

 1 ARMTEC DEFENSE PRODUCTS 

 S DYER 

 85 901 AVE 53 

 PO BOX 848 

 COACHELLA CA 92236 

 1 NATIONAL COMPOSITE CENTER 

 T CORDELL 

 2000 COMPOSITE DR 

 KETTERING OH 45420 

 3 PACIFIC NORTHWEST LAB 

 M SMITH 

 G VAN ARSDALE 

 R SHIPPELL 

 PO BOX 999 

 RICHLAND WA 99352 

 2 AMOCO PERFORMANCE 

 PRODUCTS 

 M MICHNO JR 

 J BANISAUKAS 

 4500 MCGINNIS FERRY RD 

 ALPHARETTA GA 30202-3944 

 8 ALLIANT TECHSYSTEMS INC 

 C CANDLAND MN11 2830 

 C AAKHUS MN11 2830 

 B SEE MN11 2439 

 N VLAHAKUS MN11 2145 

 R DOHRN MN11 2830 

 S HAGLUND MN11 2439 

 M HISSONG MN11 2830 

 D KAMDAR MN11 2830 

 600 SECOND ST NE 

 HOPKINS MN 55343-8367 

 

 1 SAIC 

 M PALMER 

 1410 SPRING HILL RD STE 400 

 MS SH4 5 

 MCLEAN VA 22102 

 1 APPLIED COMPOSITES 

 W GRISCH 

 333 NORTH SIXTH ST 

 ST CHARLES IL 60174 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

10

 1 CUSTOM ANALYTICAL 

 ENG SYS INC 

 A ALEXANDER 

 13000 TENSOR LANE NE 

 FLINTSTONE MD 21530 

 1 AAI CORPORATION 

 DR N B MCNELLIS 

 PO BOX 126 

 HUNT VALLEY MD 21030-0126 

 1 OFC DEPUTY UNDER SEC DEFNS 

 J THOMPSON 

 1745 JEFFERSON DAVIS HWY 

 CRYSTAL SQ 4 STE 501 

 ARLINGTON VA 22202 

 3 ALLIANT TECHSYSTEMS INC 

 J CONDON 

 E LYNAM 

 J GERHARD 

 WV01 16 STATE RT 956 

 PO BOX 210 

 ROCKET CENTER WV 26726-0210 

 1 PROJECTILE TECHNOLOGY INC 

 515 GILES ST 

 HAVRE DE GRACE MD 21078 

 1 HEXCEL INC 

 R BOE 

 PO BOX 18748 

 SALT LAKE CITY UT 84118 

 5 AEROJET GEN CORP 

 D PILLASCH 

 T COULTER 

 C FLYNN 

 D RUBAREZUL 

 M GREINER 

 1100 WEST HOLLYVALE ST 

 AZUSA CA 91702-0296 

 1 HERCULES INC 

 HERCULES PLAZA 

 WILMINGTON DE 19894 

 1 BRIGS COMPANY 

 J BACKOFEN 

 2668 PETERBOROUGH ST 

 HERNDON VA 22071-2443 

 1 ZERNOW TECHNICAL SERVICES 

 L ZERNOW 

 425 W BONITA AVE STE 208 

 SAN DIMAS CA 91773 

 1 GENERAL DYNAMICS OTS 

 L WHITMORE 

 10101 NINTH ST NORTH 

 ST PETERSBURG FL 33702 

 3 GENERAL DYNAMICS OTS 

 FLINCHBAUGH DIV 

 E STEINER 

 B STEWART 

 T LYNCH 

 PO BOX 127 

 RED LION PA 17356 

 1 GKN AEROSPACE 

 D OLDS 

 15 STERLING DR 

 WALLINGFORD CT 06492 

 5 SIKORSKY AIRCRAFT 

 G JACARUSO 

 T CARSTENSAN 

 B KAY 

 S GARBO MS S330A 

 J ADELMANN 

 6900 MAIN ST 

 PO BOX 9729 

 STRATFORD CT 06497-9729 

 1 PRATT & WHITNEY 

 C WATSON 

 400 MAIN ST MS 114 37 

 EAST HARTFORD CT 06108 

 1 AEROSPACE CORP 

 G HAWKINS M4 945 

 2350 E EL SEGUNDO BLVD 

 EL SEGUNDO CA 90245 

 2 CYTEC FIBERITE 

 M LIN 

 W WEB 

 1440 N KRAEMER BLVD 

 ANAHEIM CA 92806 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

11

 1 UDLP 

 G THOMAS 

 PO BOX 58123 

 SANTA CLARA CA 95052 

 2 UDLP 

 R BARRETT MAIL DROP M53 

 V HORVATICH MAIL DROP M53 

 328 W BROKAW RD 

 SANTA CLARA CA 95052-0359 

 3 UDLP 

 GROUND SYSTEMS DIVISION 

 M PEDRAZZI MAIL DROP N09 

 A LEE MAIL DROP N11 

 M MACLEAN MAIL DROP N06 

 1205 COLEMAN AVE 

 SANTA CLARA CA 95052 

 2 UDLP 

 R BRYNSVOLD 

 P JANKE MS 170 

 4800 EAST RIVER RD 

 MINNEAPOLIS MN 55421-1498 

 2 BOEING ROTORCRAFT 

 P MINGURT 

 P HANDEL 

 800 B PUTNAM BLVD 

 WALLINGFORD PA 19086 

 1 BOEING 

 DOUGLAS PRODUCTS DIV 

 L J HART SMITH 

 3855 LAKEWOOD BLVD 

 D800 0019 

 LONG BEACH CA 90846-0001 

 1 LOCKHEED MARTIN 

 SKUNK WORKS 

 D FORTNEY 

 1011 LOCKHEED WAY 

 PALMDALE CA 93599-2502 

 1 LOCKHEED MARTIN 

 R FIELDS 

 5537 PGA BLVD 

 SUITE 4516 

 ORLANDO FL 32839 

 1 MATERIALS SCIENCES CORP 

 G FLANAGAN 

 500 OFC CENTER DR STE 250 

 FT WASHINGTON PA 19034 

 1 NORTHRUP GRUMMAN CORP 

 ELECTRONIC SENSORS 

 & SYSTEMS DIV 

 E SCHOCH MS V 16 

 1745A W NURSERY RD 

 LINTHICUM MD 21090 

 1 GDLS DIVISION 

 D BARTLE 

 PO BOX 1901 

 WARREN MI 48090 

 2 GDLS 

 D REES 

 M PASIK 

 PO BOX 2074 

 WARREN MI 48090-2074 

 1 GDLS 

 MUSKEGON OPERATIONS 

 W SOMMERS JR 

 76 GETTY ST 

 MUSKEGON MI 49442 

 1 GENERAL DYNAMICS 

 AMPHIBIOUS SYS 

 SURVIVABILITY LEAD 

 G WALKER 

 991 ANNAPOLIS WAY 

 WOODBRIDGE VA 22191 

 6 INST FOR ADVANCED 

 TECH 

 H FAIR 

 I MCNAB 

 P SULLIVAN 

 S BLESS 

 W REINECKE 

 C PERSAD 

 3925 W BRAKER LN STE 400 

 AUSTIN TX 78759-5316 

 1 ARROW TECH ASSO 

 1233 SHELBURNE RD STE D8 

 SOUTH BURLINGTON VT 

 05403-7700 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

12

 2 CIVIL ENGR RSCH FOUNDATION 

 PRESIDENT 

 H BERNSTEIN 

 R BELLE 

 1015 15TH ST NW STE 600 

 WASHINGTON DC 20005 

 1 R EICHELBERGER 

 CONSULTANT 

 409 W CATHERINE ST 

 BEL AIR MD 21014-3613 

 1 G CHRYSSOMALLIS 

 8500 NORMANDALE LAKE BLVD 

 SUITE 1610 

 BLOOMINGTON MN 55437-3828 

 1 UCLA MANE DEPT ENGR IV 

 H T HAHN 

 LOS ANGELES CA 90024-1597 

 2 UNIV OF DAYTON 

 RESEARCH INST 

 R Y KIM 

 A K ROY 

 300 COLLEGE PARK AVE 

 DAYTON OH 45469-0168 

 1 UMASS LOWELL 

 PLASTICS DEPT 

 N SCHOTT 

 1 UNIVERSITY AVE 

 LOWELL MA 01854 

 1 IIT RESEARCH CENTER 

 D ROSE 

 201 MILL ST 

 ROME NY 13440-6916 

 1 GA TECH RSCH INST 

 GA INST OF TCHNLGY 

 P FRIEDERICH 

 ATLANTA GA 30392 

 1 MICHIGAN ST UNIV 

 MSM DEPT 

 R AVERILL 

 3515 EB 

 EAST LANSING MI 48824-1226 

 1 UNIV OF WYOMING 

 D ADAMS 

 PO BOX 3295 

 LARAMIE WY 82071 

 2 PENN STATE UNIV 

 R MCNITT 

 C BAKIS 

 212 EARTH ENGR 

 SCIENCES BLDG 

 UNIVERSITY PARK PA 16802 

 1 PENN STATE UNIV 

 R S ENGEL 

 245 HAMMOND BLDG 

 UNIVERSITY PARK PA 16801 

 1 PURDUE UNIV 

 SCHOOL OF AERO & ASTRO 

 C T SUN 

 W LAFAYETTE IN 47907-1282 

 1 STANFORD UNIV 

 DEPT OF AERONAUTICS 

 & AEROBALLISTICS 

 S TSAI 

 DURANT BLDG 

 STANFORD CA 94305 

 1 UNIV OF MAINE 

 ADV STR & COMP LAB 

 R LOPEZ ANIDO 

 5793 AEWC BLDG 

 ORONO ME 04469-5793 

 1 JOHNS HOPKINS UNIV 

 APPLIED PHYSICS LAB 

 P WIENHOLD 

 11100 JOHNS HOPKINS RD 

 LAUREL MD 20723-6099 

 1 UNIV OF DAYTON 

 J M WHITNEY 

 COLLEGE PARK AVE 

 DAYTON OH 45469-0240 

 1 NORTH CAROLINA STATE UNIV 

 CIVIL ENGINEERING DEPT 

 W RASDORF 

 PO BOX 7908 

 RALEIGH NC 27696-7908 
NO. OF NO. OF 

COPIES ORGANIZATION COPIES ORGANIZATION

13

 5 UNIV OF DELAWARE 

 CTR FOR COMPOSITE MTRLS 

 J GILLESPIE 

 M SANTARE 

 S YARLAGADDA 

 S ADVANI 

 D HEIDER 

 201 SPENCER LABORATORY 

 NEWARK DE 19716 

 1 DEPT OF MATERIALS 

 SCIENCE & ENGINEERING 

 UNIVERSITY OF ILLINOIS 

 AT URBANA CHAMPAIGN 

 J ECONOMY 

 1304 WEST GREEN ST 115B 

 URBANA IL 61801 

 1 UNIV OF MARYLAND 

 DEPT OF AEROSPACE ENGNRNG 

 A J VIZZINI 

 COLLEGE PARK MD 20742 

 1 DREXEL UNIV 

 A S D WANG 

 32ND & CHESTNUT ST 

 PHILADELPHIA PA 19104 

 3 UNIV OF TEXAS AT AUSTIN 

 CTR FOR ELECTROMECHANICS 

 J PRICE 

 A WALLS 

 J KITZMILLER 

 10100 BURNET RD 

 AUSTIN TX 78758-4497 

 3 VA POLYTECHNICAL 

 INST & STATE UNIV 

 DEPT OF ESM 

 M W HYER 

 K REIFSNIDER 

 R JONES 

 BLACKSBURG VA 24061-0219 

 1 SOUTHWEST RSCH INST 

 ENGR & MATL SCIENCES DIV 

 J RIEGEL 

 6220 CULEBRA RD 

 PO DRAWER 28510 

 SAN ANTONIO TX 78228-0510 

ABERDEEN PROVING GROUND

 1 US ARMY MATERIEL 

 SYSTEMS ANALYSIS ACTIVITY 

 P DIETZ 

 392 HOPKINS RD 

 AMXSY TD 

 APG MD 21005-5071 

 1 US ARMY ATC 

 W C FRAZER 

 CSTE DTC AT AC I 

 400 COLLERAN RD 

 APG MD 21005-5059 

 1 DIRECTOR 

 US ARMY RESEARCH LAB 

 AMSRL OP AP L 

 APG MD 21005-5066 

 85 DIR USARL 

 AMSRL CI 

 AMSRL CI S 

 A MARK 

 AMSRL CS IO FI 

 M ADAMSON 

 AMSRL SL BA 

 AMSRL SL BL 

 D BELY 

 R HENRY 

 AMSRL SL BG 

 AMSRL SL I 

 AMSRL WM 

 J SMITH 

 AMSRL WM B 

 A HORST 

 AMSRL WM BA 

 D LYON 

 AMSRL WM BC 

 P PLOSTINS 

 J NEWILL 

 S WILKERSON 

 A ZIELINSKI 

 AMSRL WM BD 

 B FORCH 

 R FIFER 

 R PESCE RODRIGUEZ 

 B RICE 

 AMSRL WM BE 

 C LEVERITT 

 AMSRL WM BF 

 J LACETERA 
NO. OF NO. OF 

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14

ABERDEEN PROVING GROUND (CONT)

 AMSRL WM BR 

 C SHOEMAKER 

 J BORNSTEIN 

 AMSRL WM M 

 D VIECHNICKI 

 G HAGNAUER 

 J MCCAULEY 

 AMSRL WM MA 

 L GHIORSE 

 S MCKNIGHT 

 AMSRL WM MB 

 B FINK 

 J BENDER 

 T BOGETTI 

 R BOSSOLI 

 L BURTON 

 K BOYD 

 S CORNELISON 

 P DEHMER 

 R DOOLEY 

 W DRYSDALE 

 G GAZONAS 

 S GHIORSE 

 D GRANVILLE 

 D HOPKINS 

 C HOPPEL 

 D HENRY 

 R KASTE 

 M KLUSEWITZ 

 M LEADORE 

 R LIEB 

 E RIGAS 

 J SANDS 

 D SPAGNUOLO 

 W SPURGEON 

 J TZENG 

 E WETZEL 

 AMRSL WM MC 

 J BEATTY 

 E CHIN 

 J MONTGOMERY 

 A WERECZCAK 

 J LASALVIA 

 J WELLS 

 AMSRL WM MD 

 W ROY 

 S WALSH 

 AMSRL WM T 

 B BURNS 

 M ZOLTOSKI 

ABERDEEN PROVING GROUND (CONT)

 AMSRL WM TA 

 W GILLICH 

 T HAVEL 

 J RUNYEON 

 M BURKINS 

 E HORWATH 

 B GOOCH 

 W BRUCHEY 

 M NORMANDIA 

 AMRSL WM TB 

 D KOOKER 

 P BAKER 

 AMSRL WM TC 

 R COATES 

 AMSRL WM TD 

 A DAS GUPTA 

 T HADUCH 

 T MOYNIHAN 

 F GREGORY 

 M RAFTENBERG 

 M BOTELER 

 T WEERASOORIYA 

 D DANDEKAR 

 AMSRL WM TE 

 A NIILER 

 J POWELL 
NO. OF NO. OF 

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15

 1 LTD 

 R MARTIN 

 MERL 

 TAMWORTH RD 

 HERTFORD SG13 7DG 

 UK 

 1 SMC SCOTLAND 

 P W LAY 

 DERA ROSYTH 

 ROSYTH ROYAL DOCKYARD 

 DUNFERMLINE FIFE KY 11 2XR 

 UK 

 1 CIVIL AVIATION 

 ADMINSTRATION 

 T GOTTESMAN 

 PO BOX 8 

 BEN GURION INTERNL AIRPORT 

 LOD 70150 

 ISRAEL 

 1 AEROSPATIALE 

 S ANDRE 

 A BTE CC RTE MD132 

 316 ROUTE DE BAYONNE 

 TOULOUSE 31060 

 FRANCE 

 1 DRA FORT HALSTEAD 

 P N JONES 

 SEVEN OAKS KENT TN 147BP 

 UK 

 1 DEFENSE RESEARCH ESTAB 

 VALCARTIER 

 F LESAGE 

 COURCELETTE QUEBEC 

 COA IRO 

 CANADA 

 1 SWISS FEDERAL ARMAMENTS 

 WKS 

 W LANZ 

 ALLMENDSTRASSE 86 

 3602 THUN 

 SWITZERLAND 

 1 DYNAMEC RESEARCH AB 

 AKE PERSSON 

 BOX 201 

 SE 151 23 SODERTALJE 

 SWEDEN 

 1 ISRAEL INST OF 

 TECHNOLOGY 

 S BODNER 

 FACULTY OF MECHANICAL 

 ENGR 

 HAIFA 3200 

 ISRAEL 

 1 DSTO 

 WEAPONS SYSTEMS DIVISION 

 N BURMAN RLLWS 

 SALISBURY 

 SOUTH AUSTRALIA 5108 

 AUSTRALIA 

 1 DEF RES ESTABLISHMENT 

 VALCARTIER 

 A DUPUIS 

 2459 BOULEVARD PIE XI NORTH 

 VALCARTIER QUEBEC 

 CANADA 

 PO BOX 8800 COURCELETTE 

 GOA IRO QUEBEC 

 CANADA 

 1 INSTITUT FRANCO ALLEMAND 

 DE RECHERCHES DE SAINT 

 LOUIS 

 DE M GIRAUD 

 5 RUE DU GENERAL 

 CASSAGNOU 

 BOITE POSTALE 34 

 F 68301 SAINT LOUIS CEDEX 

 FRANCE 

 1 ECOLE POLYTECH 

 J MANSON 

 DMX LTC 

 CH 1015 LAUSANNE 

 SWITZERLAND
NO. OF 

COPIES ORGANIZATION

16

 1 TNO DEFENSE RESEARCH 

 R IJSSELSTEIN 

 ACCOUNT DIRECTOR 

 R&D ARMEE 

 PO BOX 6006 

 2600 JA DELFT 

 THE NETHERLANDS 

 2 FOA NATL DEFENSE RESEARCH 

 ESTAB 

 DIR DEPT OF WEAPONS & 

 PROTECTION 

 B JANZON 

 R HOLMLIN 

 S 172 90 STOCKHOLM 

 SWEDEN 

 2 DEFENSE TECH & PROC AGENCY 

 GROUND 

 I CREWTHER 

 GENERAL HERZOG HAUS 

 3602 THUN 

 SWITZERLAND 

 1 MINISTRY OF DEFENCE 

 RAFAEL 

 ARMAMENT DEVELOPMENT 

 AUTH 

 M MAYSELESS 

 PO BOX 2250 

 HAIFA 31021 

 ISRAEL 

 1 TNO DEFENSE RESEARCH 

 I H PASMAN 

 POSTBUS 6006 

 2600 JA DELFT 

 THE NETHERLANDS 

 1 B HIRSCH 

 TACHKEMONY ST 6 

 NETAMUA 42611 

 ISRAEL 

 1 DEUTSCHE AEROSPACE AG 

 DYNAMICS SYSTEMS 

 M HELD 

 PO BOX 1340 

 D 86523 SCHROBENHAUSEN 

 GERMANY