• No results found

Torque Loss and Optimization Convergence - Pressure

Experiments on the pressure distribution and frictional torque in articulating pin joints

Experiments on the pressure distribution and frictional torque in articulating pin joints

... Figure 1. Photograph of landing gear and typical pin joint This pin joint locates two articulating parts that form the locking mechanism for the gear. The pin is hollow for weight reduction and manufactured from hard ...

17

Pressure Loss through Rock Fracture Intersections

Pressure Loss through Rock Fracture Intersections

... Mesh convergence was carried out for the different geometries used, however, it was found that there was, at most, a 5% difference in the calculated pressure drop from the inlet to outlet when using around ...
Convergence acceleration operator for multiobjective optimization

Convergence acceleration operator for multiobjective optimization

... multiobjective optimization, neural ...Without loss of generality, a multiobjective opti- mization problem (MOP) can be formulated as a minimization of a function Z (X ), where Z (X ) = {Z 1 (X ) · · · Z n ...

24

Bilevel Optimization: Convergence Analysis and Enhanced Design

Bilevel Optimization: Convergence Analysis and Enhanced Design

... 6. Convergence of algorithms at corruption rate p = ...deterministic optimization, and propose a novel al- gorithm for the stochastic setting and show that its com- putational complexity outperforms the ...

11

Enterprise network convergence: path to cost optimization

Enterprise network convergence: path to cost optimization

... A network must be able to handle bandwidth requirements in order to accommodate different types of traffic. Even when a network is designed for optimal bandwidth management, there could be contention for bandwidth during ...

116

Distributed nonconvex optimization: Algorithms and convergence analysis

Distributed nonconvex optimization: Algorithms and convergence analysis

... based optimization [126], the objective function of the problem under consideration can only be evaluated using repeated ...bandit optimization [2, 37], a player tries to minimize a sequence of loss ...

208

Efficiency optimization of a direct torque control (DTC) induction motor drive

Efficiency optimization of a direct torque control (DTC) induction motor drive

... load torque and speed, the efficiency of the motor is quite high and gives the best transient ...core loss, thus impairing the efficiency of the drive due to imbalance between iron and copper ...

50

Performance optimization of permanent magnet synchronous motor by cogging torque reduction

Performance optimization of permanent magnet synchronous motor by cogging torque reduction

... cogging torque, encounters several tech- nical problems in ...high pressure in aligning magnetic field, than sintering to fuse into a solid ...[28]. Pressure bonding or injection molding the powders ...

9

Gaussian process optimization with failures: classification and convergence proof

Gaussian process optimization with failures: classification and convergence proof

... model based on iterative resolution of isentropic efficiency at medium radius, resolution of radial equilibrium, and deduction of blade angles through empirical correlations. In this context we aim at selecting the ...

26

Global Continuous Optimization with Error Bound and Fast Convergence

Global Continuous Optimization with Error Bound and Fast Convergence

... the pressure such that no venting is required in terms of the pressure in the final phase (6), where venting is not conducted also because the amount of CsI becomes larger than x 1 ...the pressure ...

43

Sequential Minimal Optimization for SVM with Pinball Loss

Sequential Minimal Optimization for SVM with Pinball Loss

... With properly selected parameters, pin-SVMs can per- form better than C-SVM. However, pin-SVMs currently lack fast training algorithms, which is the target of this paper. Generally, we will train pin-SVMs in the dual ...

8

Optimization of Number of Blade in High Pressure Compressor

Optimization of Number of Blade in High Pressure Compressor

... Figure 11[d]: Fourth stage velocity diagram VI. C ONCLUSION Present investigation indicates after the thousands of solution comparison and optimize the number of blade and other parameter with help of this diagram ...

6

Optimization of pressure vessel design 
		using pyOpt

Optimization of pressure vessel design using pyOpt

... constrained optimization problems. In this study, we used pyOpt to solve pressure vessel design ...(Constrained Optimization by Linear Approximation), ALPSO (Augmented Lagrangian Particle Swarm ...

5

Design Optimization and Fabrication of a Low Pressure Vessel

Design Optimization and Fabrication of a Low Pressure Vessel

... Low Pressure Vessel, Low Pressure Vessel I. I NTRODUCTION A Pressure Vessel is a closed container to hold gases or liquids [1] at a pressure substantially different from the ambient ...the ...

5

Particle Swarm Optimization Based Direct Torque Control of Brushless DC Motor

Particle Swarm Optimization Based Direct Torque Control of Brushless DC Motor

... load torque T is J +B = T e - T l (8) III.DIRECT TORQUE CONTROL OF BLDC MOTOR DTC strategies have been widely implemented in induction machine ...electromagnetic torque and the stator flux through ...

7

On the convergence of chemical reaction optimization for combinatorial optimization

On the convergence of chemical reaction optimization for combinatorial optimization

... the Convergence of Chemical Reaction Optimization for Combinatorial Optimization Albert ...general-purpose optimization method, chemical reaction optimization (CRO), is a ...

17

Fast Convergence Particle Swarm Optimization for Functions Optimization

Fast Convergence Particle Swarm Optimization for Functions Optimization

... velocity of each individual, their own previous best performance, and the best previous performance of their neighbours [6]. In traditional PSO the particle is attracted toward the best position it has visited and ...

6

Intramuscular Pressure of Tibialis Anterior Reflects Ankle Torque but Does Not Follow Joint Angle-Torque Relationship

Intramuscular Pressure of Tibialis Anterior Reflects Ankle Torque but Does Not Follow Joint Angle-Torque Relationship

... We observed negative onset delays for both IMP and sEMG. Fine-wire electrodes are collecting information from a limited area. Later onsets for fwEMG activity might be due to the activation threshold of the TA muscle ...

9

Convergence of trajectories in infinite horizon optimization

Convergence of trajectories in infinite horizon optimization

... horizon optimization which is the problem of selecting an infinite sequence of decisions such that the associated cost over an unbounded horizon is minimum [1, 2, 7, 10, 14, 16, 15, 17, ...

9

Convergence acceleration operator for multiobjective optimization

Convergence acceleration operator for multiobjective optimization

... When the CAO is launched, it starts by deterministically improving the best solutions achieved; these solutions are the elite solutions stored in the online archive of the host algorithm. This improvement takes place in ...

24

Show all 10000 documents...

Related subjects