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Optimum design of liquefied petroleum gas (LPG) composite cylinders by genetic algorithm research method
Get PDFThe optimum design of composite cylinders is crucial for achieving a balance between
structural integrity, weight reduction, and cost-effectiveness propelled by the widespread
utilization of fiber-reinforced composite materials in numerous engineering applications.
This study presents a novel procedure by employing the Genetic Algorithm (GA) research
method to optimize the design parameters of LPG composite cylinders. The Genetic
Algorithm, inspired by natural selection and genetic principles, is employed to search the
design space efficiently. The optimization process considers various factors, including
material properties, cylinder geometry, and safety standards, to achieve a composite cylinder
design that maximizes performance while meeting regulatory requirements. The objective is
to find the composite cylinder's optimum ply angle and stacking sequence while maintaining
the necessary strength and safety margins. The Genetic Algorithm explores the solution
space through iterative generations of candidate designs, evolving toward the optimal
configuration. The algorithm integrates fitness functions that assess the first-ply failure using
classical laminate theory, ensuring convergence toward an optimal solution. The findings
illustrate the efficacy of employing the Genetic Algorithm to attain an optimal design for
maximizing failure pressure under mechanical and thermal loads. This study explores
various criteria and materials for hybrid and non-hybrid composite cylinders, evaluating the
best design based on cylinder structural efficiency.Kompozit silindirlerin optimum tasarımı, birçok mühendislik uygulamasında yaygın olarak
kullanılan fiber takviyeli kompozit malzemelerle yapısal bütünlük, ağırlık azaltma ve
maliyet etkinliği arasında denge sağlamak için çok önemlidir. Bu çalışma, LPG kompozit
silindirlerinin tasarım parametrelerini optimize etmek için Genetik Algoritma (GA)
araştırma yöntemini kullanarak yenilikçi bir prosedür sunmaktadır. Doğal seçilim ve genetik
prensiplerden esinlenen Genetik Algoritma, tasarım alanını verimli bir şekilde aramak için
kullanılmaktadır. Optimizasyon süreci, performansı en üst düzeye çıkarırken düzenleyici
gereksinimleri karşılayan bir kompozit silindir tasarımı elde etmek için malzeme özellikleri,
silindir geometrisi ve güvenlik standartları gibi çeşitli faktörleri dikkate almaktadır. Amaç,
gerekli dayanım ve güvenlik marjlarını korurken kompozit silindirin optimum katman
açısını ve diziliş sırasını bulmaktır. Genetik Algoritma, aday tasarımların iteratif
jenerasyonları aracılığıyla çözüm alanını keşfederek optimum konfigürasyona doğru evrilir.
Algoritma, klasik laminat teorisini kullanarak ilk katman hatasını değerlendiren uygunluk
fonksiyonlarını entegre ederek optimal bir çözüme doğru yakınsamayı sağlar. Bulgular,
mekanik ve termal yükler altında maksimum hatalı basıncı en üst düzeye çıkarmak için
Genetik Algoritma kullanmanın etkinliğini göstermektedir. Bu çalışma, hibrit ve hibrit
olmayan kompozit silindirler için çeşitli kriterleri ve malzemeleri inceleyerek silindir yapısal
verimliliğine dayalı en iyi tasarımı değerlendirmektedir
Optimum design of liquefied petroleum gas (LPG) composite hybrid and non-hybrid cylinders by genetic algorithm for maximum failure pressure
Get PDFOptimizing 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
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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