NSNate ShakouriPrincipal Scientist

Case Study

High-Performance Catalyst Development For Monopropellant Decomposition

A public-safe case study summary. Proprietary details, exact operating conditions, and sensitive performance data are omitted unless already public or approved for release.

Case Study

Title

High-Performance Catalyst Development For Monopropellant Decomposition

Technical Area

Space propulsion catalysts, heterogeneous catalysis, catalyst synthesis, and reaction engineering

Problem

Monopropellant catalyst systems must initiate and sustain decomposition reliably while tolerating thermal, chemical, mechanical, and integration constraints. Exact propellant, formulation, operating envelope, and performance targets are not included here.

Approach

Develop a public-safe catalyst development framework that connects decomposition chemistry, active material selection, support architecture, catalyst bed constraints, manufacturability, and verification planning. Candidate systems are treated through staged screening and down-selection rather than exposed formulation details.

Methods Used

  • Catalyst synthesis and thermal treatment
  • Supported metal and oxide catalyst design
  • Alumina-based and porous support evaluation
  • Washcoat, ink, and adhesion considerations
  • Microscopy, surface-area, porosity, and chemical characterization
  • Reaction-engineering review and safety-aware test planning
  • [Approved performance test method placeholder]

Outcome

Established a disciplined pathway for identifying and improving monopropellant decomposition catalyst candidates. Quantitative activity, ignition, lifetime, pressure-drop, and qualification data should be added only after public-release approval.

Technical Significance

This case links fundamental catalyst structure control to propulsion-relevant catalyst beds and hardware-facing requirements without exposing sensitive formulation or test data.

Confidentiality Note

Public summary only. Omits propellant identity if sensitive, catalyst formulation, bed geometry, test conditions, transient data, lifetime metrics, customer or partner context, and employer-specific milestones.

Related Public Source

Details withheld