A Study on the Multi-Objective Optimization of Impeller for High-Power Centrifugal Compressor

Kang, Hyun Seo; Kim, Youn-Jea

doi:10.5293/ijfms.2016.9.2.143

Cited by 17 publications

(8 citation statements)

References 9 publications

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“…As the number of blades increased, the general trend of the maximum von Mises stress was decreasing for both the with and without rotation cases, except the case of Blade Number 12 with rotation ( Figures 13 and 14). The location of the maximum total deformation and equivalent von Mises stress was similar to that in the literature [13]. These stress concentrated areas were vulnerable to different types of failures.…”

Section: Fluid-structure Interactionsupporting

confidence: 82%

“…Piperno et al [12] concluded that to ensure the safe operation of a rotating structure for every flow rate, the analysis of stress and deformation on the impeller in the unstable operation region needs to be solved by the consideration of FSI. Kang and Kim [13] pointed out that structural safety needs to be evaluated because the impeller receives fluid pressure load and centrifugal force during the operation.…”

Section: Introductionmentioning

confidence: 99%

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Aerodynamic and Structural Characteristics of a Centrifugal Compressor Impeller

2019

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The present study focuses on the aerodynamic performance and structural analysis of the centrifugal compressor impeller. The performance characteristics of the impeller are analyzed with and without splitter blades by varying the total number of main and splitter blades. The operating conditions of the compressor under centrifugal force and pressure load from the aerodynamic analysis are applied to the impeller blade and hub to perform the one-way Fluid–Structure Interaction (FSI). For the stress assessment, maximum equivalent von Mises stresses in the impeller blades are compared with the maximum allowable stress of the impeller material. The effects of varying the pressure field on the deformation and stress of the impeller are also calculated. The aerodynamic and structural performance of the centrifugal compressor at 73,000 rpm are investigated in terms of the efficiency, pressure ratio, equivalent von Mises stress, and total deformation of the impeller.

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Section: Fluid-structure Interactionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Aerodynamic and Structural Characteristics of a Centrifugal Compressor Impeller

2019

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“…e key principle of KPI indicators is the Eight-Two Principle, which applies to companies and individuals. In enterprises, 20% of talents often solve 80% of the company's problems, and 20% of backbones create 80% of the value [20]. erefore, in the process of corporate performance management, we must fully realize the importance of this 20% and grasp the core for analysis and evaluation.…”

Section: Kpi Indicatorsmentioning

confidence: 99%

Enterprise Performance Optimization Management Decision-Making and Coordination Mechanism Based on Multiobjective Optimization

Zou

Bai

2021

Mathematical Problems in Engineering

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Today’s society is a society of the knowledge economy, and the competition of enterprises is the competition of talents. The rapid development of science and technology and the fierce development of market competition have made the importance of performance management increasingly prominent in corporate management. The purpose of performance management is to explore and deal with some of the effects of various factors on employee performance and to tap the potential of employees, improve employee performance, and also bring a qualitative leap to the performance of the organization. The improvement of the employee performance management level has laid a solid foundation for the improvement of the organizational performance management level. However, there are still some difficulties in the implementation of performance management in my country at this stage, and the management effect is not obvious. Therefore, building a scientific, reasonable, and complete multiobjective optimization-based corporate performance optimization management decision-making and coordination mechanism is the primary task of today’s enterprises. This article will give a brief theoretical overview of the combination of system management theory and behavior management theory, MBO target management, and KPI indicators, build a multiobjective optimization model on an effective theoretical basis, and use genetic algorithms to obtain a weak Pareto effective solution that can optimize the enterprise with consideration of performance appraisal indicators. It also builds an agency model and an analysis of employee incentive plans, which clearly shows the relationship between the company and the management and employees, conducts a cross analysis of the needs of the company’s management and employees, and puts forward the best corporate performance considering the needs of employees; among them, the multiobjective optimization of corporate performance increased by 14% under the optimal management decision.

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“…It is effective and relatively easy to achieve any number of design goals. The normal constraint method will ensure that any Pareto points are generated in the feasible design space, as well as Pareto points uniformly distributed along the complete front edge [20]. By performing a series of optimizations, the normal constraint method can obtain a uniformly distributed Pareto solution set of the genetic multi-objective problem.…”

Section: Normal Constraint Algorithmmentioning

confidence: 99%

Evaluation of regional industrial cluster innovation capability based on particle swarm clustering algorithm and multi-objective optimization

Yan

Meng

Song

2021

Complex Intell. Syst.

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With the progress of the times and the development of science, industrial clusters have been regarded by all countries in the world as one of the important ways to enhance regional competitiveness, and become an inevitable trend of industrial development. The research on the innovation ability of industrial clusters can not only maintain sustainable development of industrial clusters and obtain sustained competitive advantages, but also provide reference for the government's policy formulation of industrial clusters. This paper aims to study the evaluation of regional industrial clusters' innovation capability based on particle swarm clustering and multi-objective optimization. This paper uses the theory of industrial cluster innovation and takes regional industrial system as the empirical research object to establish a regional industrial system capability evaluation system, which is based on the selection of indicators, combined with analytic hierarchy process and factor analysis to evaluate industrial innovation capability. On this basis, the particle swarm clustering theory is used to verify the innovation ability and evaluation index system of industrial clusters, and provide a reference for the evaluation of the innovation ability of industrial clusters. This paper divides the regional cluster innovation capability into four aspects: innovation input capability, environment support capability, self-development capability and innovation output capability, and systematically analyzes the key elements and in the composition of innovation elements and their relationships. It then constructs the evaluation index system of regional cluster innovation capability. At the same time, this paper introduces clustering analysis algorithm and swarm intelligence algorithm into regional innovation evaluation, combines particle swarm optimization algorithm and K-means clustering algorithm, and optimizes particle swarm clustering algorithm by adjusting adaptive parameters and adding fitness variance. The experimental results of this paper show that from the results of the tested innovation potential of the three industrial clusters, industrial cluster F has the strongest innovation ability, with an evaluation coefficient of 0.851, followed by industrial cluster F, which has a value of 0.623. This result is consistent with the actual innovation status of the selected industry. From this point of view, the established particle swarm clustering model for evaluating the innovation capability of regional industrial clusters is reliable and can be used to evaluate the innovation capability of different industrial clusters.

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A Study on the Multi-Objective Optimization of Impeller for High-Power Centrifugal Compressor

Cited by 17 publications

References 9 publications

Aerodynamic and Structural Characteristics of a Centrifugal Compressor Impeller

Aerodynamic and Structural Characteristics of a Centrifugal Compressor Impeller

Enterprise Performance Optimization Management Decision-Making and Coordination Mechanism Based on Multiobjective Optimization

Evaluation of regional industrial cluster innovation capability based on particle swarm clustering algorithm and multi-objective optimization

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