Enhancement of regression rate in hybrid rocket motor using various techniques /

A hybrid rocket motor represents a compromise between a solid rocket and a liquid rocket motor. It offers throttling capability, increased safety, moderate cost, in addition to its benign environmental impact. However, low regression rate is a major drawback of hybrid rocket performance. In this wor...

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Bibliographic Details
Main Author: Muhammad Hanafi Azami
Format: Thesis
Language:English
Published: Kuala Lumpur: Kulliyyah of Engineering, International Islamic University Malaysia, 2014
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Online Access:http://studentrepo.iium.edu.my/handle/123456789/4772
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Summary:A hybrid rocket motor represents a compromise between a solid rocket and a liquid rocket motor. It offers throttling capability, increased safety, moderate cost, in addition to its benign environmental impact. However, low regression rate is a major drawback of hybrid rocket performance. In this work, a design and simulation codes are developed to size the rocket, analyze its performance both in steady state and transience. The codes are based on a legacy interior ballistic model and developed using MATLAB® environment. The codes were also used to analyze the temporal variation of regression rate, specific impulse and thrust with different initial design features; different nozzle expansion ratios, different initial mass fluxes, different number of ports used, different type of propellants used, different ports designs and different metallic doping. These design parameters bring a significant effect on hybrid rocket size and performance especially the regression rate. We also develop a lab scale hybrid rocket motor testing facility to study the effect of doping metallic additives. In the test runs, paraffin wax is used as a fuel and gaseous oxygen as the oxidizer. Experimental results reveal that varying the distribution and concentration of metallic additive concentration can improve the regression rate up to 22%. However, the non-homogeneous fuel does not improve the uniformity of the burning fuel but at least it has 70% improve on the regression rate using aluminum powder and 170% increase using zirconium powder. The code shows reasonable consistency with the experimental results.
Physical Description:xvii, 119 leaves : ill. ; 30cm.
Bibliography:Includes bibliographical references (leaves 92-96)