An Accurate, Extensive, and Rapid Method for Aerodynamics Optimization: The 50:50:50 Method

Khondge, Ashok; Sovani, Sandeep

doi:10.4271/2012-01-0174

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…The optimization engine employed took 183 parameters (61 coordinate points times 3 axis values) to define each bucket surface and run the simulation of 0.075 seconds within 1 minute. 50 generations with 48 individuals each took a total of 2400 minutes to complete which is very fast solution rate as compared to the traditional optimization attempts made with CFD which would take 50 hours to complete analysing only 50 parameters [9]. The resulting bucket surface showed a 13.21 percentage improvement in efficiency.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

CFD Based Stochastic Optimization of Pelton Turbine Bucket in Stationery Condition

Bhattarai

Dahal

Vichare

et al. 2018

2018 9th International Conference on Mechanical and Aerospace Engineering (ICMAE)

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Computational fluid dynamics (CFD) and stochastic optimization are both highly computationally expensive processes. These processes may not produce the same unique result every time and demand large computing resources. The outcomes are determined as the final if the results repeat themselves for some predefined number of iterations causing convergence. Due to this expensive and non-deterministic nature, research on CFD optimization using stochastic optimization method such as Genetic Algorithm has been limited. This paper presents a noble method in which the CFD codes can be used together with genetic algorithm to optimize the shape of a responsive surface such as a Pelton turbine bucket. An existing Pelton bucket's model has been acquired and a set of random surfaces have been created as the initial population to optimize the shape of the bucket in stationery condition. The results show that an increase in efficiency by 13.21% to the normalized efficiency of existing design can be obtained by incorporating the changes suggested.

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Section: Conclusion and Discussionmentioning

confidence: 99%

CFD Based Stochastic Optimization of Pelton Turbine Bucket in Stationery Condition

Bhattarai

Dahal

Vichare

et al. 2018

2018 9th International Conference on Mechanical and Aerospace Engineering (ICMAE)

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“…The RBF mesh morphing technique is the core technology of the RBF4AERO Project (European commission, 2013) which had the purpose to develop the RBF4AERO Benchmark Technology, namely, an integrated numerical platform and methodology to efficiently face the most demanding challenges of aircraft design and optimisation, such as FSI (Biancolini et al , 2016b; Andrejašič et al , 2016) and EA methods (Biancolini et al , 2016a). The project was a great opportunity to further boost and extend mesh morphing in the aviation sector after receiving acknowledgments in other industrial fields such as automotive (Khondge and Sovani, 2012), motorsport (Petrone et al , 2014), nautical (Biancolini et al , 2014; Viola et al , 2015), road infrastructures (Telenta et al , 2015) and medical (Biancolini et al , 2012).…”

Section: Radial Basis Functionsmentioning

confidence: 99%

RBF-based mesh morphing approach to perform icing simulations in the aviation sector

Groth

Costa

Biancolini

2019

AEAT

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Purpose Numerical simulation of icing has become a standard. Once the iced shape is known, however, the analyst needs to update the computational fluid dynamics (CFD) grid. This paper aims to propose a method to update the numerical mesh with ice profiles. Design/methodology/approach The present paper concerns a novel and fast radial basis functions (RBF) mesh morphing technique to efficiently and accurately perform ice accretion simulations on industrial models in the aviation sector. This method can be linked to CFD analyses to dynamically reproduce the ice growth. Findings To verify the consistency of the proposed approach, one of the most challenging ice profile selected in the LEWICE manual was replicated and simulated through CFD. To showcase the effectiveness of this technique, predefined ice profiles were automatically applied on two-dimensional (2D) and three-dimensional (3D) cases using both commercial and open-source CFD solvers. Practical implications If ice accreted shapes are available, the meshless characteristic of the proposed approach enables its coupling with the CFD solvers currently supported by the RBF4AERO platform including OpenFOAM, SU2 and ANSYS Fluent. The advantages provided by the use of RBF are the high performance and reliability, due to the fast application of mesh smoothing and the accuracy in controlling surface mesh nodes. Originality/value As far as authors’ knowledge is concerned, this is the first time in scientific literature that RBF are proposed to handle icing simulations. Due to the meshless characteristic of the RBF mesh morphing, the proposed approach is cross solver and can be used for both 2D and 3D geometries.

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“…There have been many studies on the automatic optimization of the automotive aerodynamic shape worldwide. [5][6][7] The technology is mature but has been rarely applied to modeling in the early stage of vehicle design.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the aerodynamic drag reduction of a passenger hatchback car

Zhang

Ding

2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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An automatic optimization process is established employing computer-aided styling, computational fluid dynamics, grid deformation, an optimization method, and other digital simulation methods to reduce the computational time. Optimization was conducted for the aerodynamic shape of a hatchback car. Eight body design variables were selected after analysing the flow field. The first phase of body optimization was conducted for the front of the vehicle, the second phase for the rear of the vehicle, and the third phase for the global vehicle. Optimization reduced the front drag by 5.64%, then the rear drag by 7.21%, and finally the global drag by 10.34%, without changing the design style. There were interactions among those variables. The established process can be used in actual automotive styling.

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An Accurate, Extensive, and Rapid Method for Aerodynamics Optimization: The 50:50:50 Method

Cited by 9 publications

References 14 publications

CFD Based Stochastic Optimization of Pelton Turbine Bucket in Stationery Condition

CFD Based Stochastic Optimization of Pelton Turbine Bucket in Stationery Condition

RBF-based mesh morphing approach to perform icing simulations in the aviation sector

Optimization of the aerodynamic drag reduction of a passenger hatchback car

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