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Diesel particulate filters with a quantity of ash corresponding to the service interval (4500 hours) are needed to verify that soot loading model predictions remain accurate as ash accumulates in the DPF. Initially, long-term engine tests carried out for the purpose of assessing engine and aftertreatment system durability provided ash-loaded DPFs for model verification. However, these DPFs were found to contain less ash than expected based on lube oil consumption, and the ash was distributed uniformly along the length of the inlet channels, as opposed to being in the form of a plug at the outlet end of those channels. Thus, a means of producing DPFs with higher quantities of ash, distributed primarily as plugs, was required. An engine test protocol was developed for this purpose; it included the following: 1) controlled dosing of lube oil into the fuel feeding the engine, 2) formation of a soot cake within the DPF, and 3) periodic active regenerations to eliminate the soot cake.

A three phase catalytic mathematical model was developed for analysis and optimization of the volatile reactor assembly (VRA) used on International Space Station (ISS) Water Processor. The Langmuir-Hinshelwood Hougen-Watson (L-H) expression was used to describe the surface reaction rate. Small column experiments were used to determine the L-H rate parameters. The test components used in the experiments were acetic acid, acetone, ethanol, 1-propanol, 2-propanol and propionic acid. These compounds are the most prevalent ones found in the influent to the VRA reactor. The VRA model was able to predict performance of small column data and experimental data from the VRA flight experiment.

Future lunar missions will utilize a Lunar DC microgrid (LDCMG) to construct the infrastructure for distributing, storing, and utilizing electrical energy. The LDCMG’s energy management, of which energy storage systems (ESS) are crucial components, will be essential to the success of the missions. Standard system design currently employs a rule-of-thumb approach in which design methodologies rely on heuristics that may only evaluate local power balancing requirements. The Hamiltonian surface shaping and power flow control (HSSPFC) method can also be utilized to analyze and design the lunar LDCMG power distribution network and ESS. In this research, the HSSPFC method will be utilized to determine the ideal energy storage requirements for ESS and the optimally distributed control architecture.