Agglomerate Sizing in Aluminized Propellants Using Digital Inline Holography and Traditional Diagnostics

Powell, Michael S.; Gunduz, Ibrahim W.; Shang, Weixiao; Chen, Jun; Son, Steven F.; Chen, Yi; Guildenbecher, Daniel R.

doi:10.2514/1.b36859

Agglomerate Sizing in Aluminized Propellants Using Digital Inline Holography and Traditional Diagnostics

Journal Article · Fri Apr 13 00:00:00 EDT 2018 · Journal of Propulsion and Power

DOI:https://doi.org/10.2514/1.b36859· OSTI ID:1469624

Powell, Michael S. ^[1]; Gunduz, Ibrahim W. ^[1]; Shang, Weixiao ^[1]; Chen, Jun ^[1]; Son, Steven F. ^[1]; Chen, Yi ^[2]; Guildenbecher, Daniel R. ^[2]

Purdue Univ., West Lafayette, IN (United States). School of Mechanical Engineering
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Engineering Sciences Center

Aluminized ammonium perchlorate composite propellants can form large molten agglomerated particles that may result in poor combustion performance, slag accumulation, and increased two-phase flow losses. Quantifying agglomerate size distributions are needed to gain an understanding of agglomeration dynamics and ultimately design new propellants for improved performance. Due to complexities of the reacting multiphase environment, agglomerate size diagnostics are difficult and measurement accuracies are poorly understood. To address this, the current paper compares three agglomerate sizing techniques applied to two propellant formulations. Particle collection on a quench plate and backlit videography are two relatively common techniques, whereas digital inline holography is an emerging alternative for three-dimensional measurements. Atmospheric pressure combustion results show that all three techniques are able to capture the qualitative trends; however, significant differences exist in the quantitative size distributions and mean diameters. For digital inline holography, methods are proposed that combine temporally resolved high-speed recording with lower-speed but higher spatial resolution measurements to correct for size–velocity correlation biases while extending the measurable size dynamic range. Finally, the results from this work provide new guidance for improved agglomerate size measurements along with statistically resolved datasets for validation of agglomerate models.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); SNL Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: NA0003525

OSTI ID:: 1469624

Report Number(s):: SAND--2018-9674J; 667575

Journal Information:: Journal of Propulsion and Power, Journal Name: Journal of Propulsion and Power Journal Issue: 4 Vol. 34; ISSN 0748-4658

Publisher:: American Institute of Aeronautics and Astronautics (AIAA)Copyright Statement

Country of Publication:: United States

Language:: English

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