Computer-aided propulsion burn analysis

Zarda, P. R.; Hartman, Daniel W.

doi:10.2514/6.1988-3342

Cited by 1 publication

(1 citation statement)

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“…There have been several investigations on modeling geometric regression of complex fuel grains, but many of them are difficult to implement, are simply extremely slow, and all were intended for solid motors. [24][25][26][27][28][29][30][31][32][33] This paper will outline the development of a novel method whereby the fuel cross section will be modeled as an array of grey-scale pixels and image-processing techniques will be used to regress the fuel grain geometry. Figure 7 shows an example of this process.…”

Section: B Geometric Regression Modelsmentioning

confidence: 99%

Design and Testing of FDM Manufactured Paraffin-ABS Hybrid Rocket Motors

McCulley¹,

Bath²,

Whitmore³

2012

48th AIAA/ASME/SAE/ASEE Joint Propulsion Conference &Amp;amp; Exhibit

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This research investigates techniques for fabricating hybrid rocket fuel grains composed of porous Acrylonitrile-butadiene-styrene impregnated with paraffin wax. The ABS substrate provides mechanical support for the paraffin fuel material and serves as an additional fuel component. The embedded paraffin provides an enhanced regression rate while having no detrimental effect on the thermodynamic burn properties of the fuel grain. Fused Deposition Modeling manufacturing techniques are used to fabricate the ABS substrate that supports the paraffin fuel. Multiple fuel grains with various ABS-to-Paraffin mass ratios were fabricated and burned with nitrous oxide. Analytical predictions for end-to-end motor performance and fuel regression are compared against static test results. Baseline fuel grain regression calculations use an enthalpy balance energy analysis with the material and thermodynamic properties based on the mean paraffin/ABS mass fractions within the fuel grain. In support of these analytical comparisons, a novel method for propagating the fuel port burn surface was developed. In this modeling approach the fuel cross section grid is modeled as an image with white pixels representing the fuel and black pixels representing empty or burned grid cells. A suite of standard MATLAB image-processing techniques is used to regress the fuel grain geometry.

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