Title of article :
Optimization of a Reinforced-flat End Cap Through Analytical Study and Genetic Algorithm
Author/Authors :
Hosseinzadeh, A.R Mechanical Engineering Department - Monenco Iran Consulting Engineers, Iran , Ebrahimi, M Mechanical Engineering Department - Monenco Iran Consulting Engineers, Iran , Sodagari, H Mechanical Engineering Department - Monenco Iran Consulting Engineers, Iran , Abedian, A.R Mechanical Engineering Department - Monenco Iran Consulting Engineers, Iran
Abstract :
An efficient design is a key factor in final expenditure of a certain construction.
Pressure vessels are structures that play an indispensable role in different
industries such as petroleum, power plants etc. Pressure vessels are receptacles
often used to keep gases or liquids at a pressure typically different from
what atmospheric pressure is. End caps which close the end of vessels can
be formed in different shapes. Thus, end cap design also has a significant
role in the integrity of vessels to prevent fatal accidents that are frequent
in the pressure vessel’s history. In this study, an extensive investigation of
huge-flat end caps under external pressure was carried out to extract the
most efficient geometrical layout. This kind of flat end cap is an essential
part of the designed main duct in the Air Cooled Condenser (ACC) systems
as a configuration that renders steam to condensed water inside a definite
arrangement of finned tubes in a hybrid thermal power plant. To determine
an optimized state of stresses considering weight limitation, a number of
finite element models were simulated. The simulations were performed in a
relatively wide domain of two geometrical variables, namely thickness and
height of stiffeners. By constituting a comprehensive data library, an objective
function was formed using the results of finite element. The procedure was
followed through a genetic algorithm to find an optimized stress state. An
analytical study was also accomplished to reach an optimized end cap resulting
in the lowest stress level. The findings showed very similar results for the
two methods. Furthermore, a profound observation of the influence of two
geometrical parameters was conducted in different weight limits. Although this
study is based on a particular actual-industrial problem in an implemented
power plant, the proposed method and results are applicable to a great number
of similar cases.
Keywords :
Flat end cap , Pressure vessel , Finite element , Kuhn-Tucker , Genetic algorithm
Journal title :
Astroparticle Physics