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Wyświetlanie 1-2 z 2
Tytuł:
A network design optimization problem for ro-ro freight transport in the Tyrrhenian area
Autorzy:
Fancello, Gianfranco
Serra, Patrizia
Mancini, Simona
Powiązania:
https://bibliotekanauki.pl/articles/374128.pdf
Data publikacji:
2019
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
short sea shipping
networks design optimisation
Ro-Ro maritime services
żegluga morska bliskiego zasięgu
optymalizacja projektu sieci
usługi morskie Ro-Ro
Opis:
Roll-on Roll-of (Ro-Ro) transport is one of the primary options EU policy is focusing on for developing intermodal transport and MOS initiatives, aimed at reducing road transport (especially trucks). In line with EU guidelines, this study proposes an integrated and optimized network scheme for the maritime Ro-Ro freight services currently operating in the Italian Tyrrhenian area to improve the overall supply of shipping services. The methodological approach used is based on the integration of the timetables and frequencies of existing freight shipping services using an original mathematical model that assigns demand flows to the network while trying to minimize a multi-objective function composed of a weighted sum of travel times and tariffs. Quantitative results show the positive impact generated by rescheduling and coordinating liner shipping and demonstrate how a ‘Tyrrhenian network system' considered as a whole would be more attractive than the single services taken collectively.
Źródło:
Transport Problems; 2019, 14, 4; 63-75
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of pin fin heat sink by application of CFD simulations and DOE methodology with neural network approximation
Autorzy:
Kasza, K.
Malinowski, Ł.
Królikowski, I.
Powiązania:
https://bibliotekanauki.pl/articles/265135.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
wymiana ciepła
optymalizacja projektu
radiator
sieci neuronowe
modelowanie numeryczne
polimery
heat transfer
design optimization
heat sink
neural network approximation
numerical modeling
thermally conductive polymer
Opis:
A design optimization of a staggered pin fin heat sink made of a thermally conductive polymer is presented. The influence of several design parameters like the pin fin height, the diameter, or the number of pins on thermal efficiency of the natural convection heat sink is studied. A limited number of representative heat sink designs were selected by application of the design of experiments (DOE) methodology and their thermal efficiency was evaluated by application of the antecedently validated and verified numerical model. The obtained results were utilized for the development of a response surface and a typical polynomial model was replaced with a neural network approximation. The particle swarm optimization (PSO) algorithm was applied for the neural network training providing very accurate characterization of the heat sink type under consideration. The quasi-complete search of defined solution domain was then performed and the different heat sink designs were compared by means of thermal performance metrics, i.e., array, space claim and mass based heat transfer coefficients. The computational fluid dynamics (CFD) calculations were repeated for the most effective heat sink designs.
Źródło:
International Journal of Applied Mechanics and Engineering; 2013, 18, 2; 365-381
1734-4492
2353-9003
Pojawia się w:
International Journal of Applied Mechanics and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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