Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm

Derakhshan, Shahram; Pourmahdavi, Maryam; Abdolahnejad, Ehsan; Reihani, Amin; Ojaghi, Ashkan

doi:10.1016/j.compfluid.2013.04.018

Cited by 117 publications

(67 citation statements)

References 11 publications

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“…The problem of design synthesis of fans and pumps was dealt with in Derakhshan et al (2013) using various combinations of design variables and procedures. Most vane shape optimization approaches in other papers have only used physical features as design parameters.…”

Section: Summary Of Resultsmentioning

confidence: 99%

“…In the core of this paper, the optimization suite modeFRON-TIER (Derakhshan, Pourmahdavi, Abdolahnejad, Reihani, & Ojaghi, 2013) was used as the optimization integrator. To efficiently compute the mean and standard deviation, a Latin hypercube set of samples was used in combination with polynomial chaos expansion (ESTECO, 2013) instead of classical estimators such as Monte Carlo.…”

Section: Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

3D shape optimization of fan vanes for multiple operating regimes subject to efficiency and noise-related excellence criteria and constraints

Marinić-Kragić

Vučina

Milas

2016

Engineering Applications of Computational Fluid Mechanics

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Fully generic 3D shapes of centrifugal roof fan vanes are explored based on a custom-developed numerical workflow with the ability to vary the vane 3D shape by manipulating the control points of parametric surfaces and change the number of vanes and rotation speed. An excellence formulation is based on design flow efficiency, multi-regime operational conditions and noise criteria for various cases, including multi-objective optimization. Multiple cases of optimization demonstrate the suitability of customized and individualized fan designs for specific working environments according to the selected excellence criteria. Noise analysis is considered as an additional decision-making tool for cases where multiple solutions of equal efficiency are generated and as an additional criteria for multi-objective optimization. The 3D vane shape enables further gains in efficiency compared to 2D shape optimization, while multi-objective optimization with noise as an additional criterion shows potential to greatly reduce the roof fan noise with only small losses in efficiency. The developed workflow which comprises (i) a 3D parametric shape modeler, (ii) an evolutionary optimizer and (iii) a computational fluid dynamics (CFD) simulator can be viewed as an integral tool for optimizing the designs of roof fans under custom conditions. ARTICLE HISTORY

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Section: Summary Of Resultsmentioning

confidence: 99%

Section: Optimizationmentioning

confidence: 99%

3D shape optimization of fan vanes for multiple operating regimes subject to efficiency and noise-related excellence criteria and constraints

Marinić-Kragić

Vučina

Milas

2016

Engineering Applications of Computational Fluid Mechanics

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“…The only constraints of the optimization problem are the physical input limitations. The Arti cial Bee Colony (ABC) algorithm, which has been used in this study, is a swarm intelligence-based algorithm that has shown an acceptable performance in terms of reliability, accuracy, and convergence speed [33,34]. The ABC has an iterative behavior, so it needs to evaluate the output of the engine repeatedly.…”

Section: Optimizationmentioning

confidence: 99%

Performance and emissions optimization of an ethanol-gasoline fueled SI engine with oxygen enrichment using artificial bee colony algorithm

2017

Self Cite

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Abstract. The use of arti cial neural network in conjunction with arti cial bee colony algorithm is proposed as a method for performance and emissions optimization of an SI engine. The case study here involves the oxygen enriched combustion of an SI engine fueled with hydrous ethanol and gasoline. In this study, the engine was considered as a black box and its performance and emissions were extracted experimentally at di erent intake air oxygen concentrations, hydrous ethanol injection rates, and ethanol concentration in the hydrous ethanol mixture. Then, the simultaneous injection of hydrous ethanol and oxygen enriched combustion was investigated to maximize the fuel conversion e ciency and minimize the CO and NOx emissions. Therefore, an objective function consisting of both the emission and performance parameters was optimized using the Arti cial Bee Colony algorithm. The engine model used in this optimization process was obtained from an Arti cial Neural Network trained with experimental engine data. For operating speed of 3000 rpm, the optimization results indicated 1.21% improvement in fuel conversion e ciency and 31.11% and 13.94% reduction in CO and NOx emissions, respectively. At the speed of 2000 rpm, fuel conversion e ciency improved by 4.11% and CO emission decreased by 18.73%, while NOx concentration increased by 28.35%.

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“…For a long time, how to solve the low efficiency of the centrifugal pump, the head flow curve prone to hump, and poor anticavitation performance is an important index to meet the need of the centrifugal pump design [2]. Centrifugal pumps are mainly based on the velocity coefficient method, extreme value loss method, criterion screening method, flow field analysis method, and other methods for hydraulic design and model conversion [3][4][5][6]. With the development of computer technology, CFD system and achieved better control effect.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization Design and Performance Prediction of Centrifugal Pump Based on Orthogonal Test

Wang

Huo

2018

Advances in Materials Science and Engineering

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In order to improve the hydraulic performance of the centrifugal pump, based on the original model, the optimization mathematical model with the four indexes head, efficiency, shaft power, and pump net positive suction head as objective function was established, and the multiobjective optimization design of the centrifugal pump was carried out by orthogonal test. Based on the L 16 (4 4 ) orthogonal table, 16 sets of orthogonal test schemes were made by selecting the four parameters impeller outlet width, blade inlet angle, blade outlet angle, and cape angle; the flow field numerical simulation was carried out by computational fluid dynamics technique; and the influence order of geometric parameters on optimization indexes was obtained by range analysis. e weight of each test factor on the optimization index was calculated by weight matrix, and a set of optimal schemes was obtained. Based on the external characteristic experimental bench of the IH 65-60-190 chemical centrifugal pump, the simulation values and test values of the prototype pump and the optimization pump were obtained under different working conditions. Under the rated flow, the head was reduced by 17.00%, the efficiency was increased by 9.14%, the shaft power was reduced by 21.50%, the pump net positive suction head was reduced by 16.69%, the curve hump was eliminated, the performance of centrifugal pump was improved, and the feasibility of the weight matrix optimization method was verified. e particle image velocimetry measurement system was used to measure the relative velocity of the internal media in the centrifugal pump. e results showed that the optimization pump had no obvious "jet-wake" flow structure, its maximum velocity was less than the prototype pump, the area of low-speed zone was larger than the prototype pump, the efficiency of the centrifugal pump was improved, and the shaft power and pump net positive suction head were reduced. e reason of the head decrease was analyzed from the internal flow situation, and the accuracy of the design optimization process was proved.

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Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm

Cited by 117 publications

References 11 publications

3D shape optimization of fan vanes for multiple operating regimes subject to efficiency and noise-related excellence criteria and constraints

3D shape optimization of fan vanes for multiple operating regimes subject to efficiency and noise-related excellence criteria and constraints

Performance and emissions optimization of an ethanol-gasoline fueled SI engine with oxygen enrichment using artificial bee colony algorithm

Multiobjective Optimization Design and Performance Prediction of Centrifugal Pump Based on Orthogonal Test

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