Optimum design of liquefied petroleum gas (LPG) composite hybrid and non-hybrid cylinders by genetic algorithm for maximum failure pressure

dc.contributor.authorMouchane, Brahim
dc.contributor.authorBaştürk, Süleyman
dc.date.accessioned2025-08-14T17:00:49Z
dc.date.available2025-08-14T17:00:49Z
dc.date.issued2025
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Makine Mühendisliği Ana Bilim Dalı
dc.description.abstractOptimizing the design of composite cylinders is crucial for balancing structural integrity, weight reduction, and cost-effectiveness, especially with the widespread use of fiber-reinforced materials in many engineering applications. This study presents a novel approach using Genetic Algorithms to optimize liquefied petroleum gas (LPG) composite cylinders for maximum failure pressure by MATLAB software. Inspired by natural selection, the Genetic Algorithm efficiently explores design variations, considering different materials and cylinder geometries. The main goal of this study is to find the best ply angle and stacking sequence to maximize failure pressure for hybrid and non-hybrid composite cylinders. The maximum stress and Tsai–Wu criteria are used together to predict failure. The algorithm converges towards an optimal design through iterative generations, evaluated using fitness functions based on classical laminate theory. The results demonstrate the effectiveness of this approach in achieving an optimal design under mechanical and thermal loads. The optimization process exhibits strong sensitivity to the selected failure criterion, with the Tsai-Wu and Maximum Stress theories generating fundamentally different optimal configurations. For example, design I under mechanical loads, the Tsai-Wu failure criterion based GA finds that the optimal solution for carbon epoxy is [-89/-50/56/-50/-51/-503/563/-50/56/-50/57/-502/565/57/-502/56]s. In contrast, for the maximum stress failure criterion based GA, the optimal solution is [512 /-50/512/-502/51/-50/51/-50/522/-502/523/-502/52/-50/51/-503]s. The analysis under combined mechanical and thermal loading highlights significant performance constraints driven by temperature variations, uncovering distinct operational regimes. Within a limited thermal range, several viable stacking sequences are achievable; however, outside this window, only simplified—yet less optimal—designs remain feasible. For example, carbon epoxy, both GA identified that [9026]s is the optimal configuration. Numerical findings provide insights for hybrid and non-hybrid composite cylinders, assessing the best design based on cylinder structural efficiency and the cylinder cost.
dc.identifier.citationMouchane, B., & Baştürk, S. (2025). Optimum design of liquefied petroleum gas (LPG) composite hybrid and non-hybrid cylinders by genetic algorithm for maximum failure pressure: B. Mouchane, S. Baştürk. International Journal of Mechanics and Materials in Design, 1-25. 10.1007/s10999-025-09796-y
dc.identifier.doi10.1007/s10999-025-09796-y
dc.identifier.issn1569-1713
dc.identifier.scopus2-s2.0-105007949590
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5877
dc.indekslendigikaynakScopus
dc.institutionauthorMouchane, Brahim
dc.institutionauthorBaştürk, Süleyman
dc.language.isoen
dc.publisherSpringer Science and Business Media B.V.
dc.relation.ispartofInternational Journal of Mechanics and Materials in Design
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComposite cylinder
dc.subjectFailure pressure
dc.subjectGenetic algorithm
dc.subjectLiquefied petroleum gas
dc.subjectOptimum design
dc.titleOptimum design of liquefied petroleum gas (LPG) composite hybrid and non-hybrid cylinders by genetic algorithm for maximum failure pressure
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
Tam Metin / Full Text
Boyut:
4.22 MB
Biçim:
Adobe Portable Document Format
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: