Hybrid material performance assessment for rocket propulsion

Fuel based on hybrid green material is of paramount importance for various military and civilian purposes. This work presents a novel expert-based multi-criteria hierarchy and decision-making model to evaluate various chemical rocket propulsion technologies with different fuel material types under a...

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Bibliographic Details
Main Authors: AL-Oqla Faris M., Hayajneh Mohammed T.
Format: Article
Language:English
Published: De Gruyter 2022-05-01
Series:Journal of the Mechanical Behavior of Materials
Subjects:
Online Access:https://doi.org/10.1515/jmbm-2022-0021
Description
Summary:Fuel based on hybrid green material is of paramount importance for various military and civilian purposes. This work presents a novel expert-based multi-criteria hierarchy and decision-making model to evaluate various chemical rocket propulsion technologies with different fuel material types under an uncertain environment. This helps select the most appropriate fuel material types according to the performance requirements considering various evaluation criteria toward achieving better performance economic benefits of the sustainable hybrid green material-based fuel for various applications. Here, the analytical hierarchy process model was utilized to enhance more informative decisions from both numerical and linguistics information regarding the performance of the fuel based on hybrid green material under an uncertain environment. The model considers various simultaneous evaluations and conflicting criteria to practically demonstrate economic, technical, and sustainable issues for the decision makers in this field. Results demonstrate that cost and size criteria are the most important in the evaluation process from experts’ points of view for the rocket propulsion technology. The fuel based on hybrid green material has the highest priority regarding the whole evaluation criteria. The sensitivity analysis illustrates the robustness of the model as well as the reliability of the drawn decisions.
ISSN:2191-0243