scholarly journals The numerical optimization methods usage for choosing blisk trajectory during PVD coating deposition

2021 ◽  
Vol 2094 (4) ◽  
pp. 042048
Author(s):  
A Oleinik ◽  
E Vardanyan
Keyword(s):  
Film Thickness ◽  
Numerical Optimization ◽  
Vacuum Chamber ◽  
Complex Shape ◽  
Erosive Wear ◽  
Optimization Methods ◽  
Turbine Engine ◽  
Coating Deposition ◽  
Pvd Coating ◽  
Engine Blade

Abstract PVD coating deposition is a considerable way to prevent the gas turbine engine blade from erosive wear. However, the process for blisks is complicated by the part complex shape which leads to uneven film thickness. The research considers an approach for optimizing the blisk trajectory in a vacuum chamber. This approach reduced the calculated non-uniformity of the coating thickness from 4.3-10.8 to 6.2-10.4 μm.

Development and Testing of Polyurethane Coating for Protection of Gas Turbine Engine Blades

2021 ◽  
Vol 316 ◽  
pp. 868-872
Author(s):  
Maksim A. Orlov ◽  
Irina A. Polikarpova ◽  
Aleksander N. Kalinnikov
Keyword(s):  
Gas Turbine ◽  
Protective Coating ◽  
Erosive Wear ◽  
Gas Turbine Engine ◽  
Polyurethane Coating ◽  
State Technical ◽  
Turbine Engine ◽  
Temperature Resistance ◽  
Technical University

The article presents testing of polymer protective coating based on polyurethane developed in Bauman Moscow State Technical University. It is shown that the developed coating has an increased resistance to erosive wear, an increased level of adhesion and temperature resistance, compared with the existing coatings, certified by aviation.

Nonsmooth Optimization Method for Image Restoration

1995 ◽  
Author(s):  
Kazufumi Ito ◽  
Karl Kunisch
Keyword(s):  
Image Restoration ◽  
Nonsmooth Optimization ◽  
Numerical Optimization ◽  
Augmented Lagrangian ◽  
Energy Criterion ◽  
Optimization Methods ◽  
Optimization Method ◽  
Augmented Lagrangian Methods ◽  
Active Set ◽  
First Order

Abstract In this paper we discuss applications of the numerical optimization methods for nonsmooth optimization, developed in [IK1] for the variational formulation of image restoration problems involving bounded variation type energy criterion. The Uzawa’s algorithm, first order augmented Lagrangian methods and Newton-like update using the active set strategy are described.

The Complementary Roles of Symbolic Computing and Numerical Optimization in Engineering Design Software

1987 ◽  
Author(s):  
R. Ellsworth ◽  
A. Parkinson ◽  
F. Cain
Keyword(s):  
Expert System ◽  
Engineering Design ◽  
Numerical Optimization ◽  
Optimization Methods ◽  
Design Rule ◽  
Rule Base ◽  
Design Problems ◽  
Symbolic Computing ◽  
Engineering Design Problems ◽  
Trial And Error Method

Abstract In many engineering design problems, the designer converges upon a good design by iteratively evaluating a mathematical model of the design problem. The trial-and-error method used by the designer to converge upon a solution may be complex and difficult to capture in an expert system. It is suggested that in many cases, the design rule base could be made significantly smaller and more maintainable by using numerical optimization methods to identify the best design. The expert system is then used to define the optimization problem and interpret the solution, as well as to apply the true heuristics to the problem. An example of such an expert system is presented for the design of a valve anti-cavitation device. Because of the capabilities provided by the optimization software, the expert system has been able to outperform the expert in the test cases evaluated so far.

Estimation of the Hydraulic Losses in the Work Shaft of a Gas Turbine Engine of a Gas Compressor Unit Under Various Operating Conditions

2019 ◽  
Author(s):  
Oleg Baturin ◽  
Aleksandr Krivtsov ◽  
Daria Kolmakova ◽  
Grigorii Popov
Keyword(s):  
Complex Shape ◽  
Operating Conditions ◽  
Compressor Unit ◽  
Fuel Gas ◽  
Turbine Engine ◽  
Hydraulic Losses ◽  
Flow Through ◽  
Filter Unit ◽  
Research Recommendations ◽  
Engine Power

Abstract The paper presents the results of numerical simulation of air flow through a modernized variant of the inlet filter unit (IFU) of the gas compressor unit GPA-Ts-16. A feature of the IFU design is that to reduce the load on the filter unit, it is proposed to be as compact as possible, which determines its complex shape. The goal of the study is to study the hydraulic losses and to develop the measures to reduce them, since it is found that every 100 Pa of losses in the inlet unit increases the consumption of fuel gas by 2.5 kg/h or reduces the engine power by 10.5 kW. Calculations of hydraulic losses in IFU are carried out for cases of absence or presence of wind with a velocity from 0 to 35 m/s, blowing from 5 main directions (0°, 45°, 90°, 135°, 180°). Studies are also carried out on the effect of the weather shield shape, presence of baffles under it, and the rack in the shaft on the hydraulic losses. As a result of the research, recommendations are provided for designing (changing the shape) of the inlet filter unit that eventually allow to propose a design that will reduce the hydraulic losses in IFU by 15% relative to the originally suggested variant.

scholarly journals Study of surface quality using quasi-optimal correlation algorithms

2018 ◽  
Vol 224 ◽  
pp. 01077
Author(s):  
Nicolay V. Nosov
Keyword(s):  
Surface Roughness ◽  
Turbine Blades ◽  
Variable Component ◽  
Electronic Unit ◽  
Average Amplitude ◽  
New Approach ◽  
Turbine Engine ◽  
Computer Methods ◽  
Engine Blade ◽  
Electronic Method

The article proposes a new approach for evaluating roughness of the profile surface of gas turbine engine blade airfoils after vibratory polishing. An optical electronic unit was used to study microgeometry of blade suction and pressure sides: video imagery of the surface was processed using computer methods to obtain the average amplitude of the autocorrelation function variable component. The applied optical electronic method of evaluating microgeometry of compressor/turbine blades allows obtaining fields of surface roughness and tension concentration coefficients as well as analyzing the finish machining technology to a greater depth.

Model-Based Actuator Trajectories Optimization for a Diesel Engine Using a Direct Method

2010 ◽  
Vol 133 (3) ◽  
Author(s):  
Michael Benz ◽  
Markus Hehn ◽  
Christopher H. Onder ◽  
Lino Guzzella
Keyword(s):  
Numerical Optimization ◽  
Fuel Injection ◽  
Direct Method ◽  
Optimization Methods ◽  
Optimization Method ◽  
Mean Value ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Transient Operation ◽  
Engine Model

This paper proposes a novel optimization method that allows a reduction in the pollutant emission of diesel engines during transient operation. The key idea is to synthesize optimal actuator commands using reliable models of the engine system and powerful numerical optimization methods. The engine model includes a mean-value engine model for the dynamics of the gas paths, including the turbocharger of the fuel injection, and of the torque generation. The pollutant formation is modeled using an extended quasi-static modeling approach. The optimization substantially changes the input signals, such that the engine model is enabled to extrapolate all relevant outputs beyond the regular operating area. A feedforward controller for the injected fuel mass is used to eliminate the nonlinear path constraints during the optimization. The model is validated using experimental data obtained on a transient engine test bench. A direct single shooting method is found to be most effective for the numerical optimization. The results show a significant potential for reducing the pollutant emissions during transient operation of the engine. The optimized input trajectories derived assist the design of sophisticated engine control systems.

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