Comparative Analysis of the Computer-Aided Systems of Gas Turbine Engine Designing

Кузьмичев, Венедикт Степанович; Ostapyuk, Yaroslav A.; Tkachenko, Andrey; Krupenich, Ilia N.; Filinov, Evgeny

doi:10.18178/ijmerr.6.1.28-35

Cited by 20 publications

(10 citation statements)

References 13 publications

(11 reference statements)

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“…The results of the analysis of the weight models will be valid for most modern small-scale turbofan engines, since their parameters fit into this range. Regularization was carried out using the developed at the Samara National Research University software "ASTRA" [13][14][15] as task of minimization of discrepancies between the published and calculated values (e.g. SFC, thrust, air mass flow rate, etc.…”

Section: Search For Initial Data and Their Preparationmentioning

confidence: 99%

Correlation-regression models for calculating the weight of small-scale aircraft gas turbine engines

et al. 2018

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Several new correlation-regression models of weight calculation for small-scale aircraft gas turbine engines are proposed for their conceptual design stage. A comparison of the obtained weight models with each other and with the Kuz’michev model is carried out. Based on the obtained results, conclusions about the feasibility and scope of their application are drawn. New correlation-regression models differ from each other in the number of input parameters, as well as in the accuracy of forecasting the weight. In the course of the work, a database of main data and thermodynamic parameters of turbofan engines (TFE) is created consisting of 92 small-scale TFEs with thrust less than 50 kN. Based on the collected statistics, formulas were obtained that allow calculating the weight at the initial stage of engine design. The error in calculating the weight by these models is in range from 10% to 30%.

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Section: Search For Initial Data and Their Preparationmentioning

confidence: 99%

Correlation-regression models for calculating the weight of small-scale aircraft gas turbine engines

et al. 2018

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“…During the past decade, the computer-aided system of thermogasdynamic calculations and analysis was developed at the Department of Aircraft Engine Theory of Samara National Research University [2,3]. This system covers the following tasks of a conceptual design stage of gas turbine engines and power plants:…”

Section: Description Of Existing Virtual Rigmentioning

confidence: 99%

Automated Virtual Testing Rig Incorporating Multi-level Models of Gas Turbine Engines

Tkachenko¹,

Krupenich²,

Filinov³

et al. 2018

KEG

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This article describes the multi-level approach to developing the virtual testing rig of gas turbine engines and power plants. The described virtual rig is developed on the basis of computer-aided system of thermogasdynamic calculations and analysis ASTRA, developed at Samara National Research University. Existing testing rig is widely used in educational process to supply the students' research activities with the information on engine operation in a variety of ambient and flight conditions during transients. An approach to upgrading the virtual testing rig is proposed. The described modifications would provide the capabilities to solve more complex research tasks, including investigation of influence of geometry of engine elements on the engine characteristics, multidisciplinary investigations, identification of engine models using the results of experimental investigations and identification of sources of engine deficiencies during the development phase of engine designing.

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“…During the past decade, the computer-aided system of thermogasdynamic calculations and analysis was developed at the Department of Aircraft Engine Theory of Samara National Research University [6,7]. This system covers the following tasks of a conceptual design stage of gas turbine engines and power plants:…”

Section: Description Of Existing Virtual Rigmentioning

confidence: 99%

Automated Virtual Testing Rig Incorporating Multi-level Models of Gas Turbine Engines

et al. 2018

View full text Add to dashboard Cite

This article describes the multi-level approach to developing the virtual testing rig of gas turbine engines and power plants. The described virtual rig is developed on the basis of computer-aided system of thermogasdynamic calculations and analysis ASTRA, developed at Samara National Research University. Existing testing rig is widely used in educational process to supply the students’ research activities with the information on engine operation in a variety of ambient and flight conditions during transients. An approach to upgrading the virtual testing rig is proposed. The described modifications would provide the capabilities to solve more complex research tasks, including investigation of influence of geometry of engine elements on the engine characteristics, multidisciplinary investigations, identification of engine models using the results of experimental investigations and identification of sources of engine deficiencies during the development phase of engine designing.

show abstract

Comparative Analysis of the Computer-Aided Systems of Gas Turbine Engine Designing

Cited by 20 publications

References 13 publications

Correlation-regression models for calculating the weight of small-scale aircraft gas turbine engines

Correlation-regression models for calculating the weight of small-scale aircraft gas turbine engines

Automated Virtual Testing Rig Incorporating Multi-level Models of Gas Turbine Engines

Automated Virtual Testing Rig Incorporating Multi-level Models of Gas Turbine Engines

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