Modification of Hydrodynamic and Acoustic Fields Generated by a Cavity with Fluid Suction

Basovsky, V. G.; Gorban, I. M.; Khomenko, Olha V.

doi:10.1007/978-3-319-96755-4_9

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…Traditionally, when forming the investment budget, a joint analysis of the graphical model of investment opportunities or IOS (Investment Opportunity Schedule) and the graphical model of the marginal cost of capital or MCC (Marginal Cost of Capital) is used [1][2][3][4][5][6][7].…”

Section: Methodsmentioning

confidence: 99%

“…The task of forming the optimal investment budget arises in those cases when in the conditions of a limited investment budget it is necessary to form a certain investment portfolio that ensures investment efficiency acceptable for the investor [1]. When forming the investment budget, it is essential to consider many factors related to the selection of possible sources of financing, taking into account the fact that with the growth of the investment budget, the cost of capital usually changes upwards [2].…”

Section: Introductionmentioning

confidence: 99%

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Digital model of optimal investment budget formation

Chernyakov¹,

Yatsko²

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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The study discusses the problems associated with substantiating the optimal size of the investment budget. At present, the generally accepted approach is the one that involves a joint analysis of two schedules: of investment opportunities and of marginal cost of capital. This approach assumes that the optimal size of the investment budget lies at the intersection of these schedules. In this paper, it is shown that the classical approach does not take into account the nonlinear nature of the dependence of the return on investment portfolio on the cost of capital sources. The digital model constructed in the framework of this research of the dependence of project profitability on the cost of capital sources shows that with an increase in the cost of capital, the decrease in the internal rate of return is increasing. The classical approach does not take this factor into account, which may lead to the fact that projects with a factually negative or rather low internal rate of return are included in the investment portfolio. The study proposes for the first time a digital model for the formation of an optimal investment budget, offering instead of a graphical model of investment opportunities to use a graph of the internal rate of return of the investment portfolio as a whole, depending on the size of the budget. Joint consideration in the model of data on the internal rate of return on the investment portfolio and the marginal cost of capital allows to avoid the inclusion of inefficient projects in the portfolio. In addition, to form the investment budget, it is proposed to additionally consider information on changes in the net present value of the investment portfolio depending on the size of the budget. Using in the model data on changes in the internal rate of return and net present value of the investment portfolio as a whole on the size of the investment budget allows us to increase the validity of management decisions related to the formation of the investment portfolio.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Digital model of optimal investment budget formation

Chernyakov¹,

Yatsko²

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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“…Landing civil and military aircrafts, automobile's sunroofs, small pillar and submarines with many cavities on the surface are some examples which include low Mach number cavity flow phenomena. Cavity induced noise propagation is an undesired outcome for submarines security and privacy [10]. It is a well-known fact that Rossiter mechanism and modes quite successfully work for relatively high Mach number cavity flows.…”

Section: Introductionmentioning

confidence: 99%

Zamana Bağlı Kavite Akışı Aeroakustiğinin Büyük Girdap Simülasyonu ile Sayısal Olarak İncelenmesi

Coşgun¹,

Çadırcı²

2020

Deu Muhendislik Fakultesi Fen Ve Muhendislik

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Flow along a cavity is of special interest for researchers due to the occurrence of free shear layer flow and related high levels of sound and pressure forces. In this study, turbulent flow along an open cavity at a low inlet Mach number (Ma = 0.034) is modelled by Large Eddy Simulations (LES). The velocity profiles at various stations inside the open cavity are compared to available experimental data. It is found that LES results agree with experimental data and detects the transient pressure change in the flow field satisfactorily. Transient pressure data in the flow field is evaluated in acoustic analogy. The noise generated by the cavity is compared with the established Rossiter modes and is found to be reasonable. To create an effect on the sound pressure levels (SPL), a small obstacle with quadrilateral cross section is immersed in the shear layer at three different locations. This causes that the SPL peaks are reduced compared to the case without any obstacle. Thus, cavity-induced noise form specific frequencies are redistributed to high frequency broadband noise as a result of this passive flow control method.

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Modification of Hydrodynamic and Acoustic Fields Generated by a Cavity with Fluid Suction

Cited by 2 publications

References 18 publications

Digital model of optimal investment budget formation

Digital model of optimal investment budget formation

Zamana Bağlı Kavite Akışı Aeroakustiğinin Büyük Girdap Simülasyonu ile Sayısal Olarak İncelenmesi

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