Historical Perspective on Fluid Machinery Flow Optimization in an Industry

Gotō, Akira

doi:10.5293/ijfms.2016.9.1.075

Cited by 17 publications

(4 citation statements)

References 11 publications

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“…However, it is not easy to visualize the Pareto space if there are more than four objectives. SOM (Self-Organizing Map) are usually used to visualize the optimization results when there are four and more objectives [31,32]. SOM is a type of artificial neural network (ANN) not only for visualization but also for the intelligent compression of sample data.…”

Section: Optimization Strategymentioning

confidence: 99%

Comprehensive Hydraulic Improvement and Parametric Analysis of a Francis Turbine Runner

Zhu

Rao

et al. 2019

Energies

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Hydraulic turbines are usually required to operate in a wide range. The operation at off-design conditions not only reduces the unit efficiency, but also significantly deteriorates the dynamic stability of the turbines. In order to develop a turbine runner with good performances under multi operation conditions, a comprehensive hydraulic improvement has been done of a Francis turbine runner with a multipoint and multi-objective optimization design system. Compared with the initial runner, the runner generated from this method has a satisfactory improvement. In detail, unit efficiencies of the preferred runner are increased by 0.91%, 0.47% and 0.37%, respectively, under the rated head, a high head and the maximum head. The lowest pressure at blade surface is improved by 376.2 kPa under the rated head. CFD calculations are conducted to analyze the flow conditions inside of the preferred runner. In addition, runners with different main design inputs, namely blade lean, blade loading and blade meridional shape are furtherly investigated to reveal their relationship with runner’s internal flow and outer performances. In summary, this optimization system supplies satisfactory results and convincing recommendations to determine the design inputs for low-head Francis turbine runners.

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Section: Optimization Strategymentioning

confidence: 99%

Comprehensive Hydraulic Improvement and Parametric Analysis of a Francis Turbine Runner

Zhu

Rao

et al. 2019

Energies

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“…Therefore only 8 parameters are needed to define a complex 3D blade shape, which greatly reduces the degree of freedom in optimization process compared to a direct design approach [20]. Furthermore, each design generated by inverse design method will satisfy the specified Euler head through the specified spanwise .…”

Section: Accepted Manuscript N O T C O P Y E D I T E Dmentioning

confidence: 99%

Multi-Objective Optimization of a High Specific Speed Centrifugal Volute Pump Using 3D Inverse Design Coupled With CFD Simulations

Zhang

Davila²,

Zangeneh

2019

Volume 3B: Fluid Applications and Systems

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This paper presents three different multi-objective optimization strategies for a high specific speed centrifugal volute pump design. The objectives of the optimization consist of maximizing the efficiency and minimizing the cavitation while maintaining the Euler head. The first two optimization strategies use a 3D inverse design method to parametrize the blade geometry. Both meridional shape and 3D blade geometry is changed during the optimization. In the first approach Design of Experiment method is used and the efficiency computed from CFD computations, while cavitation is evaluated by using minimum pressure on blade surface predicted by 3D inverse design method. The design matrix is then used to create a surrogate model where optimization is run to find the best tradeoff between cavitation and efficiency. This optimized geometry is manufactured and tested and is found to be 3.9% more efficient than the baseline with little cavitation at high flow. In the second approach the 3D inverse design method output is used to compute the efficiency and cavitation parameters and this leads to considerable reduction to the computational time. The resulting optimized geometry is found to be similar to the more computationally expensive solution based on 3D CFD results. In order to compare the inverse design based optimization to the conventional optimization an equivalent optimization is carried out by parametrizing the blade angle and meridional shape. Two different approaches are used for conventional optimization one in which the blade angle at TE is not constrained and one in which blade angles are constrained. In both cases larger variation in head is obtained when compared with the inverse design approach. This makes it impossible to create an accurate surrogate model. Furthermore, the efficiency levels in the conventional optimization is generally lower than the inverse design based optimization.

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“…In the design stage, Computer Aided Design (CAD) technology has been applauded for its role in facilitating early design changes during the NPD process (Holmström, Liotta, and Chaudhuri 2017). In the flow handling equipment industry, Computational fluid dynamics (CFD) technology, is an analysis tool for monitoring and predicting flow behaviour functions by applying the equations of motion using discretised elements of a numerical model to analyse flow behaviour in a system (Asim, Charlton, and Mishra 2017) thereby saving costs by reducing over-reliance on experimental activities (Dhotre et al 2013;Goto 2016). CFD has been applied to various flow handling applications and is also useful in investigating flow path geometry changes for flow optimisation (Asim et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Integration of TRIZ and CFD to New Product Development Process

Uzoka

Mishra

2020

International Journal of Computational Fluid Dynamics

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This paper facilitates the integration of TRIZ and CFD techniques to resolve design challenges and drive innovation in flow handling equipment new product development processes. A new methodology is proposed based on an integrated product lifecycle suited for flow handling equipment product development processes. The methodology accomplishes novel design solutions by designing geometrical flow paths using recommendations from TRIZ and testing same using CFD until the desired design outcome is achieved. The efficacy of this new methodology is tested through a pilot study. Flow problem areas in a valve were visualised and tested using CFD, while TRIZ was used in detecting useful recommended solutions to the identified problems. The result of the pilot process was a novel hybrid control valve design. The new method presented in this paper can be used to manage the entire NPD process, thereby proffering innovative solutions to flow handling equipment new product development.

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Historical Perspective on Fluid Machinery Flow Optimization in an Industry

Cited by 17 publications

References 11 publications

Comprehensive Hydraulic Improvement and Parametric Analysis of a Francis Turbine Runner

Comprehensive Hydraulic Improvement and Parametric Analysis of a Francis Turbine Runner

Multi-Objective Optimization of a High Specific Speed Centrifugal Volute Pump Using 3D Inverse Design Coupled With CFD Simulations

Integration of TRIZ and CFD to New Product Development Process

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