Digitale Bibliotheek
Sluiten Bladeren door artikelen uit een tijdschrift
 
<< vorige    volgende >>
     Tijdschrift beschrijving
       Alle jaargangen van het bijbehorende tijdschrift
         Alle afleveringen van het bijbehorende jaargang
           Alle artikelen van de bijbehorende aflevering
                                       Details van artikel 87 van 122 gevonden artikelen
 
 
  OPTIMIZATION OF SHELLTHICKNESS IN MULTILAYER PRESSURE VESSEL AND STUDY ON EFFECT OF NUMBER OF SHELLS ON MAXIMUM HOOP STRESS
 
 
Titel: OPTIMIZATION OF SHELLTHICKNESS IN MULTILAYER PRESSURE VESSEL AND STUDY ON EFFECT OF NUMBER OF SHELLS ON MAXIMUM HOOP STRESS
Auteur: Niranjan Kumar,
Dulal Krishna Mandal,
Samar Chandra Mondal,
Sanjib Kumar Acharyya
Verschenen in: International journal of engineering science and technology
Paginering: Jaargang 3 (2011) nr. 4 pagina's 2693-2700
Jaar: 2011
Inhoud: Multilayer pressure vessel is designed to work under high pressure condition. In this paper, optimization of thickness of each layer in multilayer vessel is carried out by Genetic Algorithm and then stressdistribution is analyzed under optimum shrink-fit condition. The fatigue life is calculated for shrink-fit multilayer vessel. Thickness of each vessel is considered as design variable and objective function is maximum hoop stress through-out the thickness at the given working pressure. Multilayer vessel is assumed to be constructed by insertion of different vessels with zero interference and zero clearance such that interface pressure at the mating surfaces is equal to the pressure generated at the same surface dueto interference fit. The mathematical model is derived from basic governing equation of thick cylinder. The appropriate boundary conditions are applied to each successive layer. Effect of number of shells on the maximum value of hoop stress is analyzed. Apart from this, effect of overall thickness of pressure vessel on the effectiveness of multi-layering is brought into focus. Stress distribution and fatigue life for the obtained thickness of each vessel from Genetic Algorithm is nearer to that obtained from Lagrange’s multiplier method.
Uitgever: Engg Journals Publication (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details van artikel 87 van 122 gevonden artikelen
 
<< vorige    volgende >>
 
 Koninklijke Bibliotheek - Nationale Bibliotheek van Nederland