Improvement of Interior Ballistic Performance Utilizing Particle Swarm Optimization
Joint Authors
El Sadek, Hazem
Zhang, Xiaobing
Cheng, Cheng
Rashad, Mahmoud
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper investigates the interior ballistic propelling charge design using the optimization methods to select the optimum charge design and to improve the interior ballistic performance.
The propelling charge consists of a mixture propellant of seven-perforated granular propellant and one-hole tubular propellant.
The genetic algorithms and some other evolutionary algorithms have complex evolution operators such as crossover, mutation, encoding, and decoding.
These evolution operators have a bad performance represented in convergence speed and accuracy of the solution.
Hence, the particle swarm optimization technique is developed.
It is carried out in conjunction with interior ballistic lumped-parameter model with the mixture propellant.
This technique is applied to both single-objective and multiobjective problems.
In the single-objective problem, the optimization results are compared with genetic algorithm and the experimental results.
The particle swarm optimization introduces a better performance of solution quality and convergence speed.
In the multiobjective problem, the feasible region provides a set of available choices to the charge’s designer.
Hence, a linear analysis method is adopted to give an appropriate set of the weight coefficients for the objective functions.
The results of particle swarm optimization improved the interior ballistic performance and provided a modern direction for interior ballistic propelling charge design of guided projectile.
American Psychological Association (APA)
El Sadek, Hazem& Zhang, Xiaobing& Rashad, Mahmoud& Cheng, Cheng. 2014. Improvement of Interior Ballistic Performance Utilizing Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-450238
Modern Language Association (MLA)
El Sadek, Hazem…[et al.]. Improvement of Interior Ballistic Performance Utilizing Particle Swarm Optimization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-450238
American Medical Association (AMA)
El Sadek, Hazem& Zhang, Xiaobing& Rashad, Mahmoud& Cheng, Cheng. Improvement of Interior Ballistic Performance Utilizing Particle Swarm Optimization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-450238
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450238