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John T. Yim

Publications and source records attributed to John T. Yim.

Electric Propulsion Qualification Guidelines and Best Practices for NASA Small Spacecraft Missions

Electric propulsion being developed for CubeSats and other small satellites with the taught expectation that high risk is generally acceptable are resulting in devices that do not meet a minimum expectation of engineering rigor for many missions, including appropriate qualification testing. This paper proffers a preliminary set of recommended guidelines and best practices in dialogue with the smallsat community to strike a better balance between engineering rigor and cost effectiveness for the qualification of EP technologies under consideration for NASA small spacecraft.

Thomas M. Liu↗

Gateway Induced Environments Overview

Gateway will be a long duration space station orbiting the Moon in support of NASA’s Artemis campaign. Over its lifetime, Gateway will be exposed to a variety of induced environments, including materials outgassing, chemical and electric thruster plumes, vacuum vents, and lunar dust transport (from the Human Lander System, HLS). Induced Environments can impact vehicle performance and mission success. The multidisciplinary Gateway Induced Environments Team has developed requirements and methodologies to address the complex challenge of integrating multiple elements and visiting vehicles while maintaining the Gateway induced environments within prescribed limits. The Gateway Induced Environments requirements are summarized along with the integration / verification process and preliminary system analysis results.

Gateway↗

Extraction of Thruster Plume Ion Population Trends From Retarding Potential Analyzer Data

Characterization of ion plume impingement effects on spacecraft surfaces requires knowledge of the ion energy distributions in the thruster plume. Retarding potential analyzers are a convenient diagnostic that provide measurements of the ion voltage distributions. This work presents an attempt to extract additional information via fitting multiple Maxwellian distributions to the diagnostic traces. Tracking the trends of the fitted ion populations across varying facility pressure, angular location, and thruster operating conditions offers further insight into the makeup of the plume plasma and the behavior of the ion energies as a function of those parameters. This approach provides supporting evidence in establishing margins and building further confidence in the plume modeling validation process.

John T. Yim↗