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Conducting Elevated Temperature Normal and Combined Pressure-Shear Plate Impact Experiments Via a Breech-end Sabot Heater System

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Modular electromagnetic railgun accelerator for high velocity impact studies.

Rishi Verma¹, J M V V S Aravind¹, Pankaj Deb¹

¹Pulsed Power & Electromagnetics Division, Bhabha Atomic Research Centre Facility, Atchutapuram, Vishakhapatnam 531011, AP, India.

The Review of Scientific Instruments

|December 31, 2022

Summary

The Railgun Accelerator Facility for Technology and Research (RAFTAR) achieved over 1000 m/s acceleration for an 8g projectile. This electromagnetic railgun facility is optimized for high-velocity impact material testing.

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Area of Science:

Electromagnetic propulsion
Materials science
High-velocity impact testing

Background:

The development of advanced electromagnetic accelerators is crucial for high-velocity impact testing.
Railgun technology offers a pathway to achieving hypervelocities for material science research.

Purpose of the Study:

To commission and characterize the performance of the RAFTAR (Railgun Accelerator Facility for Technology and Research) electromagnetic railgun.
To evaluate the facility's capability for single-shot, high-velocity impact testing on materials.

Main Methods:

Utilized a modular, breech-fed, rectangular bore railgun (14 × 13 mm²) with a 1.15 m barrel.
Powered by two 160 kJ capacitor bank modules, ignitron switches, and a pulse shaping inductor.
Employed time-of-flight technique with B-dot sensors and a shorting-foil arrangement for velocity measurements.

Main Results:

Achieved projectile acceleration exceeding 1000 m/s for an 8g aluminum-7075 armature.
Recorded a muzzle time of approximately 1.75 ms with a 220 kA current.
Observed a velocity-skin-effect during the high acceleration phase in-bore.

Conclusions:

Demonstrated RAFTAR's capability for high-velocity material testing.
Validated experimental results against theoretical predictions, confirming optimal parameter selection.
Identified key factors limiting railgun performance for future optimization.