NDIA 2010 Numerical Prediction of Large Caliber Cannon Impulse. Bob Carson Mechanical Engineer Fluid Dynamics Analyst Date: 19 May 2010

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NDIA 2010 Numerical Prediction of Large Caliber Cannon Impulse Bob Carson Mechanical Engineer Fluid Dynamics Analyst Date: 19 May 2010

AGENDA Where is Benet Laboratories? What is a Large Caliber Cannon? What is a Cannon Muzzle Brake? Why is this Relevant? Results of Analysis Conclusions and Ongoing Work 2

OUR LOCATION Located at Watervliet Arsenal The City of Watervliet is north of Albany Watervliet is the Army s oldest and only manufacturer of large caliber gun tubes. The Arsenal sits on 144 acres in Albany County. 3

ORGANIZATIONAL HIEARCHY DEPARTMENT OF THE ARMY ARMY MATERIEL COMMAND (AMC) GEN ANN DUNWOODY RESEARCH, DEVELOPMENT, & ENG G COMMAND (RDECOM) MAJ GEN NICKOLAS JUSTICE TACOM LIFE CYCLE MGMT COMMAND (TACOM-LCMC) MAJ GEN SCOTT G. WEST ARMAMENT RD&E CENTER (ARDEC) DR. JOSEPH A. LANNON Benet Laboratories developer of Army and USMC Large Caliber Cannon Watervliet Arsenal producer of Army & USMC Large Caliber Cannon Mr. Lee Bennett Joint Manufacturing and Technology Center at Watervliet (JMTC-WV) Watervliet, NY Research & Engineering Division of Watervliet Arsenal renamed Benét Laboratories in 1962 Became part of the US Army Armaments RD&E Center (ARDEC) in 1977 Benét Laboratories cannons have been produced at Watervliet Arsenal since 1887. Col. Scott Fletcher 4

ORGANIZATIONAL MISSION MISSION Plan, program, budget, manage, and execute the technology base, life cycle engineering, manufacturing technology development & implementation, production support, and field support and sustainment for: Large Caliber Cannon (conventional and electromagnetic) Howitzer Cannon (indirect fire) Guns (direct fire) Mortar Cannon, BiPods & Baseplates Large Caliber Direct Fire Gun Mounts Mission Items Large Caliber Direct Fire Vehicle Turret Components Large Caliber Cannon CRADLE-To-GRAVE Armament Technology - Design & Development Manufacturing Technology Development @ WVA Production Support - Field Support & Sustainment Industrial Base Support 5

Benet Laboratories -Watervliet Arsenal Cannon Product Line Technology- Design- Development- ESIP- Field Sustainment 155mm M284 Cannon M109A6 PALADIN System 81mm M253 Mortar Barrel M252 Medium Mortar System 120mm M298 Mortar Barrel M120 Heavy Mortar System 120mm M256 Cannon M1A2 ABRAMS System 105mm M68A2 Cannon Stryker System 155mm XM776 Cannon M777 System 81mm M253 Mortar Barrel / M252 Mortar System on USMC LAV Carrier-mounted Mortar Vehicles 60mm M225 Mortar Barrel M224 Mortar System 155mm M199 Cannon M198 System 120mm M298 Mortar Barrel / M121 Mortar System on M1064 Carrier-mounted Mortar Vehicles 105mm M137 Cannon AC-130 Gunship 105mm M20A1 Cannon M119 System 105mm M137 Cannon M102 System

XM360 Cannon System Future Combat Systems (FCS) 2003 2009. Goal - strategically deployable, tactically superior and sustainable force Mounted Combat System (MCS) Lighter and more easily transportable Reduced crew requirements 120 mm smooth bore cannon Fires kinetic energy rounds Anti-tank round 7

Muzzle Brake Technology 8

Muzzle Brake Relevance Lethality of the 120 with impulse of 105. M1A2 Abrams Battle Tank 70 ton class 120 mm Cannon FCS MCS 20 ton class 120 mm Cannon 9

Interior Ballistics of the XM360 Breech pressures consistent with Hot round. High velocity at muzzle exit. Tube length around 5.5 m. Propellant mass was matched. Patched pressure vs time, velocity vs time and temperature using custom field functions. 10

Measuring the Efficiency Overall Efficiency ψ β = = I I wo I wo recoil recoil a s w Gas Dynamic Efficiency β = I I wo wo I w m V p e 11

Test Results for the Impulse Overall Efficiency 24.8% Gas Dynamic Efficiency 49.0% Max Force is 355,000 N I = Fdt 12

I = Fdt Modeling the Impulse Impulse I = Fdt ANSYS Fluent models the fluid flow. Force in the x Direction The Force curve is then integrated wrt time during the blown down of the muzzle brake 13

Modeling the Impulse Sim1 Simulation 1 Utilized 3D 1/8 model No projectile in simulation Fully Tet pave mesh with control around the muzzle brake for size. Fine mesh in muzzle brake holes. Tube interior and muzzle brake from Pro-E models 14

Modeling the Impulse Sim1 Static Temperature Time 0.5 ms Velocity Time 0.5 ms 15

Modeling the Impulse Sim1 Force in the rearward direction peaks at around 450,000 N. 16

Modeling the Impulse Sim1 vs Test Simulation 1 Runtime approximately 2.5 days on 16 processors Overall Efficiency 26% Gas Dynamic Efficiency 52% CFD Prediction of Impulse 1.7% high Test Overall Efficiency 25% Gas Dynamic Efficiency 49% 17

Modeling the Impulse Sim2 Simulation 2 Utilized 3D 1/8 model 120mm projectile in simulation Tetrahedral (four sided) dominate mesh with control around the muzzle brake for size. Fine mesh in muzzle brake holes. Tube interior and muzzle brake from Pro-E models 18

Modeling the Impulse Sim2 Static Temperature Time 0.5 ms Velocity Time 0.5 ms 19

Modeling the Impulse Sim2 Force in the rearward direction peaks at around 2,500,000 N. 20

Modeling the Impulse Sim2 vs Test Simulation 2 Runtime approximately 1 month on 32 processors. Overall Efficiency 28% Gas Dynamic Efficiency 55% CFD Prediction of Impulse 4.2% high Test Overall Efficiency 25% Gas Dynamic Efficiency 49% 21

Modeling the Impulse Sim3 Simulation 3 Utilized 3D 1/8 model 120mm projectile in simulation Hexahedral (six sided) dominate mesh with control around the muzzle brake for size. Fine mesh in muzzle brake holes with significant domain deconstruction. Tube interior and muzzle brake from Pro-E models 22

Modeling the Impulse Sim3 Precursor shot due to projectile motion more accurately models the realistic effect of firing. Simulation running approximately 3 weeks on 48 processors. 23

Modeling the Impulse Sim3 vs Test Simulation 3 Runtime approximately 1 month on 48 processors. Overall Efficiency UNKNOWN Gas Dynamic Efficiency UNKNOWN CFD Prediction of Impulse UNKNOWN Test Overall Efficiency 24.8% Gas Dynamic Efficiency 49.0% 24

Summary of Results Simulation 1 Runtime approximately 2.5 days on 16 processors Overall Efficiency 26% Gas Dynamic Efficiency 52% CFD Prediction of Impulse 1.7% high Simulation 2 Runtime approximately 1 month on 32 processors. Overall Efficiency 28% Gas Dynamic Efficiency 55% CFD Prediction of Impulse 4.2% high Simulation 3 Runtime approximately 1 month on 48 processors. Overall Efficiency UNKNOWN Gas Dynamic Efficiency UNKNOWN CFD Prediction of Impulse UNKNOWN Test Overall Efficiency 24.8% Gas Dynamic Efficiency 49.0% 25

Concluding Remarks Inconclusive on whether the incorporation of a projectile has a significant impact on impulse modeling. Grid plays a major role in the refinement of the solution. Current results show the non-projectile case produces best results but expectation is that the hexahedral dominate mesh will produce superior results. Impulse prediction is adequately close in all simulations and can be used as a tool for design. CFD application can be extended beyond large caliber. 26

Concluding Remarks Advantages to M&S reduce the test cost and development timeframe. Display of Benet designed FCS equipment currently at NDIA 2010. 27

Questions? 28