A fast and robust surface sample acquisition system for a Venus lander
Jeffery L. Hall, Joseph Melko, Kris Sherrill, Fredrik Rehnmark, Jameil Bailey, Evan Cloninger, Bernice Yen, Jacob Tims, Jason Rabinovitch, J. Lambert, K. Zacny
- 发表年份
- 2022
- 引用次数
- 2
摘要
JPL and Honeybee Robotics have designed, built and successfully tested a fast end-to-end sample acquisition and transfer system for the Venusian surface. This full scale prototype system uses a rotary-percussive drill designed to penetrate to a 5 cm depth in saddleback basalt in 15 min under full Venus surface conditions of 470 °C and 92 bar pressure and supercritical CO2 atmosphere. The drill features a hollow bit that collects particulate samples created during the drilling process. Sample transfer from drill to lander is done pneumatically using the motive force provided by the high pressure Venus atmosphere to entrain the particles in a high density flow. A cyclone particle separator removes the particles from the flow inside the lander and deposits them into an airlock, while the gas itself flows into a low pressure dump tank. Two samples are provided from the drill, one near the surface and one at 5 cm depth. Cross contamination between the near surface and at depth samples is minimized by collecting, but not analyzing, a third sample in between the two primary samples. The airlock is designed to depressurize and cool the particulate samples and then present them to science instruments for composition analysis. The entire drilling and sample transfer process completes in 30 min, thereby allowing it to support almost any kind of future short duration Venus lander mission. Results are presented for the first end-to-end drilling and sample transfer experiment conducted in a new specialized test chamber that replicates Venus surface conditions.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992