Abstract:
Nowadays, as is well known, optimized composite materials are employed in many constructions
when high strength to weight ratio and increasing the section rigidity of the light weight structures and ease of manufacturing are required. In this paper, new optimization method of graphite-epoxy
composite cylindrical shell, under thermo mechanical loading is done by MATLAB SOFTWARE
coding in GENETIC algorithm method to decrease weight of structure in satisfactory limit. The
completely mathematical method of composite layup is reached by using of approximately approach
analysis of long shells and plates. The failure criterion of Composite materials is T-SaiHill. Final
results of analysis for obtain the critical points of rocket shooting, are done by ABAQUS
SOFTWARE.
Machine summary:
"In this paper, new optimization method of graphite-epoxy composite cylindrical shell, under thermo mechanical loading is done by MATLAB SOFTWARE coding in GENETIC algorithm method to decrease weight of structure in satisfactory limit.
In utilization of intelligent investigation procedures, the Fig. 1: Geometry and Loading Condition of composite Plate The material used in Composite surface is of graphite-epoxy type (T300/5208) and their specifications are as follows: number of accomplishments of an algorithm is considered E 181 GPa E 10.
The comparison of code results and reference for Plate In [1], optimization of the composite surface for different boundary conditions and aspect ratios has been considered.
The entries for composite cylindrical (launcher) The entries of the program are as follows: Population = 8 The number of genes For each chromosome = 4 The percentage of mutation = 1% The percentage of layer arrangement mutation = 80% The percentage of layer increment mutation = 4% The Percentage of layer decrement mutation = 4% Minimum No. of layer = 2 Code collection of Gen. thickness = [1,8] Code collection of Gen. angle = [1,8] Elitism factor = 80% The maximum number of generation = 400 The maximum number of generation without improvement = 200 4.
Conclusion and the results of genetic algorithm code and mathlab and Abaqus software links for composite cylindrical (launcher) The final optimized results for composite Fiber made of graphite epoxy are presented in table 4."