scholarly journals Optimization Methodology of PMSM Cooled by External Convection in Aircraft Propulsion

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3975
Author(s):  
Luigi Pio Di Noia ◽  
Luigi Piegari ◽  
Renato Rizzo
Keyword(s):  
Electric Propulsion ◽  
Differential Evolution Algorithm ◽  
Optimization Procedure ◽  
Permanent Magnet Motors ◽  
Aircraft Emissions ◽  
Element Analysis ◽  
Electrical Drives ◽  
Evolution Algorithm ◽  
Optimization Methodology ◽  
Aircraft Propulsion

Nowadays, the reduction of aircraft emissions is one of the industrial targets with a horizon time until 2050. The recent progresses in electrical drives give the opportunity to modify the aircraft propulsion based on thermal engine or gas turbine to a hybrid/full electric one. Some problems must be solved: weight, reliability, and the choice of the best configuration for the electric propulsion. One of the most important aspects to solve is the thermal behavior of power converters and electric motors. This paper proposes an optimization procedure for the design of surface permanent magnet motors used for the aircraft propulsion: the aim of the paper is to investigate the possibility of cooling the motor with only the air flow due to the aircraft speed. The optimization procedure has been solved with the integration of analytical model and finite element analysis and using a differential evolution algorithm.

Study of the Influence of the Underflow Diameter on the Separation Process of an Optimized Hydrocyclone for Concentration Purposes

2017 ◽  
Vol 899 ◽  
pp. 136-141 ◽  
Author(s):  
S.M. Gonçalves ◽  
Yanne Novais Kyriakidis ◽  
Luiz Gustavo Martins Vieira ◽  
Marcos Antonio de Souza Barrozo
Keyword(s):  
Laboratory Experiments ◽  
Differential Evolution Algorithm ◽  
Optimization Procedure ◽  
Separation Process ◽  
Total Efficiency ◽  
Cfd Simulations ◽  
Evolution Algorithm ◽  
Filtration Effect ◽  
Solid Liquid ◽  
Solid Liquid Separation

Hydrocyclones are equipment typically used in solid-liquid separation. Such equipment can be used with the purpose of classifying particles or concentrating suspensions. In this context, a new filtering hydrocyclone was conceived through Surface Response and Differential Evolution Algorithm techniques in order to optimize the Euler’s number. Based on this optimized geometry, the aim of the present paper was to verify the influence of the underflow diameter on the overall separation process at 147 kPa on the same optimized hydrocyclone geometry, but without the filtration effect, by performing laboratory experiments and CFD simulations using the commercial software Fluent®. The results showed that the use of the smallest underflow diameter increased up to 44% (v/v) the concentration of the underflow stream, compared to the suspension initially fed, with an Euler’s number of 862. Despite a small decrease (14%) in the total efficiency and an increase from 12.01 to 16.05 of the reduced cut size diameter, compared to the underflow diameter originally used in the optimization procedure, the benefits of recovering liquid by reducing the underflow diameter outweigh these disadvantages.

Differential Evolution Algorithm In Models Of Technical Optimization

2021 ◽  
Author(s):  
Roman Knobloch ◽  
Jaroslav Mlynek
Keyword(s):  
Differential Evolution ◽  
Cost Function ◽  
Optimization Algorithms ◽  
Differential Evolution Algorithm ◽  
Gradient Methods ◽  
Optimization Procedure ◽  
Acceptable Solution ◽  
Optimization Task ◽  
Evolution Algorithm ◽  
The Cost

At present, evolutionary optimization algorithms are increasingly used in the development of new technological processes. Evolutionary algorithms often allow the optimization procedure to be performed even in cases where classical optimization algorithms fail (e.g. gradient methods) and where an acceptable solution is sufficient to solve the optimization task. The article focuses on possibilities of using a differential evolution algorithm in the optimization process. This algorithm is often referred to in the literature as a global optimization procedure. However, we show by means of a practical example that the convergence of the classic differential algorithm to the global extreme is not generally assured and is largely dependent on the specific cost function. To remove this weakness, we designed a modified version of the differential evolution algorithm. The improved version, named the modified differential evolution algorithm, is described in the article. It is possible to prove asymptotic convergence to the global minimum of the cost function for the modified version of the algorithm.

scholarly journals Minimum Set of Rotor Parameters for Synchronous Reluctance Machine and Improved Optimization Convergence via Forced Rotor Barrier Feasibility

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2744
Author(s):  
Branko Ban ◽  
Stjepan Stipetic ◽  
Tino Jercic
Keyword(s):  
Differential Evolution Algorithm ◽  
Optimization Procedure ◽  
Permanent Magnet Machines ◽  
The Novel ◽  
Geometric Complexity ◽  
Torque Density ◽  
Reluctance Machine ◽  
Evolution Algorithm ◽  
Lower Torque ◽  
Modern Machine

Although rare earth materials are the critical component in high torque density permanent magnet machines, their use has historically been a commercial risk. The alternatives that have been in the recent industry focus are synchronous reluctance machines (SyRM). They have lower torque density but also relatively low material cost and higher overload capability. Multi-layer IPM and SyRM machines have significant geometric complexity, resulting in a high number of parameters. Considering that modern machine design requires the use of optimization algorithms with computational load proportional to the number of parameters, the whole design process can take several days. This paper presents novel SyRM parameterization with reduced number of parameters. Furthermore, the paper introduces the novel forced feasibility concept, applied on rotor barrier parameters, resulting in improved optimization convergence with overall optimization time reduced by 12.3%. Proposed approaches were demonstrated using optimization procedure based on the existing differential evolution algorithm (DE) framework.

Modified differential evolution algorithm for semi-supervised fuzzy clustering

2009 ◽  
Vol 29 (4) ◽  
pp. 1046-1047
Author(s):  
Song-shun ZHANG ◽  
Chao-feng LI ◽  
Xiao-jun WU ◽  
Cui-fang GAO
Keyword(s):  
Differential Evolution ◽  
Fuzzy Clustering ◽  
Differential Evolution Algorithm ◽  
Evolution Algorithm
Sign in / Sign up

Export Citation Format

Share Document