scholarly journals SIMULATION MODEL IN NUMERICAL OPTIMIZATION OF CENTRIFUGAL COMPRESSOR IMPELLERS

2017 ◽  
Vol 254 (4) ◽  
pp. 45-58
Author(s):  
V.V. Neverov ◽  
Y.V. Kozhukhov ◽  
Y.A.M. Yablokov ◽  
A.L. Lebedev
Keyword(s):  
Simulation Model ◽  
Centrifugal Compressor ◽  
Numerical Optimization

Using optimization to create self-stable human-like running

Robotica ◽  
2009 ◽  
Vol 27 (3) ◽  
pp. 321-330 ◽  
Author(s):  
Katja Mombaur
Keyword(s):  
Optimal Control ◽  
Simulation Model ◽  
Numerical Optimization ◽  
Humanoid Robots ◽  
Open Loop ◽  
Optimization Techniques ◽  
Model Parameters ◽  
Two Dimensional ◽  
Control Techniques ◽  
Dimensional Simulation

SUMMARYThis paper demonstrates how numerical optimization techniques can efficiently be used to create self-stable running motions for a human-like robot model. Exploitation of self-stability is considered to be a crucial factor for biological running and might be the key for success to make bipedal and humanoid robots run in the future. We investigate a two-dimensional simulation model of running with nine bodies (trunk, thighs, shanks, feet, and arms) powered by external moments at all internal joints. Using efficient optimal control techniques and stability optimization, we were able to determine model parameters and actuator inputs that lead to fully open-loop stable running motions.

Developing Centrifugal Compressor Train Optimization Models for Performance Evaluation

1997 ◽  
Author(s):  
Steven M. Summers
Keyword(s):  
Flow Rate ◽  
Centrifugal Compressor ◽  
Numerical Optimization ◽  
Linear Constraints ◽  
Optimization Software ◽  
Operational Variables ◽  
Discharge Pressure ◽  
Operational Constraints ◽  
Operating Points ◽  
Numerical Optimization Software

Recent advances in numerical optimization software now allow problems arising in the evaluation of complex centrifugal compressor train performance to be readily solved by machinery users. Analyses of compressor operations often requires consideration of multiple non-linear constraints involving pressure, temperature, flow rate, composition and power. Based on these constraints, the operational boundaries of the machinery must be evaluated. Frequently operating points of greatest interest exist where one of the operational variables, such as flow rate, is maximized subject to operational constraints. A methodology is proposed which can be used to apply commercially available optimization software to problems of this type. A review of gas equation of state relationships needed to determine thermodynamic properties is provided, as well as methods for calculating compressor discharge pressure based on polytropic head and efficiency. Recycle control is considered and a model is proposed.

scholarly journals The choice of key geometric parameters in the numerical optimization of centrifugal compressor impellers

2018 ◽  
Vol 245 ◽  
pp. 09008 ◽  
Author(s):  
Vladimir Neverov ◽  
Yuri Kozhukhov ◽  
Sergey Kartashov ◽  
Vyacheslav Ivanov
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Centrifugal Compressor ◽  
Numerical Optimization ◽  
Optimization Problem ◽  
Geometric Parameters ◽  
Optimization Parameters ◽  
Standard Values ◽  
Parameter Values ◽  
Influence Degree

The article deals with the choice of key geometric parameters and the range of their variation in solving the optimization problem of centrifugal compressor impellers using computational fluid dynamics. The study was carried out using Numeca Fine / Turbo package. The influence of more than 10 geometric parameters on the efficiency and the head of the impeller was considered. The influence degree evaluation of investigated optimization parameters was provide by changing the parameters value in a preset range and analyzing their impact on the efficiency and head of the impeller. As a result, the main geometric parameters of optimization, which should be considered first, were identified. Other parameters may not be considered within the optimization problem, and can be assigned to the standard values. In addition, recommendations on optimal ranges of parameter values were given.

Developing Centrifugal Compressor Train Optimization Models for Performance Evaluation

1998 ◽  
Vol 120 (2) ◽  
pp. 322-329
Author(s):  
S. M. Summers
Keyword(s):  
Flow Rate ◽  
Centrifugal Compressor ◽  
Numerical Optimization ◽  
Optimization Models ◽  
Optimization Software ◽  
Operational Variables ◽  
Discharge Pressure ◽  
Operational Constraints ◽  
Operating Points ◽  
Numerical Optimization Software

Recent advances in numerical optimization software now allow problems arising in the evaluation of complex centrifugal compressor train performance to be solved readily by machinery users. Analyses of compressor operations often require consideration of multiple nonlinear constraints involving pressure, temperature, flow rate, composition, and power. Based on these constraints, the operational boundaries of the machinery must be evaluated. Frequently operating points of greatest interest exist where one of the operational variables, such as flow rate, is maximized subject to operational constraints. A methodology is proposed that can be used to apply commercially available optimization software to problems of this type. A review of gas equation of state relationships needed to determine thermodynamic properties is provided, as well as methods for calculating compressor discharge pressure based on polytropic head and efficiency. Recycle control is considered and a model is proposed.

Novel simulation model for many-body multipole dispersion interactions

1998 ◽  
Vol 94 (3) ◽  
pp. 417-433 ◽  
Author(s):  
MARTIN VAN DER HOEF ◽  
PAUL MADDEN
Keyword(s):  
Simulation Model ◽  
Dispersion Interactions ◽  
Many Body

Numerical optimization of a Francis turbine’s guide vane axis location including inflow uncertainties

2013 ◽  
pp. 36-41
Author(s):  
Olivier Brugière ◽  
Guillaume Balarac ◽  
Christophe Corre ◽  
Olivier Métais ◽  
Emmanuel Flores ◽  
...  
Keyword(s):  
Numerical Optimization ◽  
Guide Vane
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