Isothermal Combustor Prediffuser and Fuel Injector Feed Arm Design Optimization Using the prometheus Design System

Zhang, Xu; Toal, David J. J.; Keane, Andy J.; Witham, Frederic; Gregory, Jonathan M.; Ravikanti, M.; Aurifeille, Emmanuel; Stow, Simon R.; Rogers, Mark; Zedda, Marco

doi:10.1115/1.4031711

Cited by 7 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model will, of course, correct itself over time as additional samples are made within this region but this will naturally impact the rate of convergence. A similar phenomena was encountered by Zhang et al [16] in their combustor design optimization where an initial poorly converged outlying simulation close to the optimum resulted in a delay in convergence as the model corrected itself. The above results, particularly for the case with the soot constraint included demonstrate the hallmarks of a similar situation occurring where one or more anomalous results present within the larger 80 point sampling plan are actually hampering convergence towards an optimum.…”

Section: D Case Studysupporting

confidence: 64%

“…Despite the apparent simplicity of the geometry, their work successfully demonstrated that data from steady and unsteady turbulent combustion simulations could be fused together effectively. Employing the Prometheus combustor design system [15], Zhang et al [16] demonstrated that multi-fidelity optimization of a combustor could be performed using isothermal simulations to minimize pressure losses. In this instance the fidelity of the simulation was varied by switching between a single and double sector model of the combustor.…”

Section: Introductionmentioning

confidence: 99%

“…While 3D RANS simulations were used to calculate both the temperature profile and the pressure losses an aerothermal network prediction of the pressure loss provided a low fidelity data set which accelerated the design optimization. Both the work of Zhang et al [16] and Toal et al [17] employed combustor geometry of a significantly greater fidelity than is typically found within the literature with the inclusion of the prediffuser and the swirler vanes and passages.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Potential of a Multifidelity Approach to Gas Turbine Combustor Design Optimization

Toal

Zhang

Keane

et al. 2021

Journal of Engineering for Gas Turbines and Power

Self Cite

View full text Add to dashboard Cite

The desire to reduce gas turbine emissions drives the use of design optimization approaches within the combustor design process. However, the relative cost of combustion simulations can prohibit such optimizations from being carried out within an industrial setting. Strategies which can significantly reduce the cost of such studies can enable designers to further improve emissions performance. The following paper investigates the application of a multi-fidelity surrogate modelling approach to the design optimization of a typical gas turbine combustor from a civil airliner engine. Results over three different case studies of varying problem dimensionality indicate that a multi-fidelity surrogate modelling based design optimization, whereby the simulation fidelity is varied by adjusting the coarseness of the mesh, can indeed improve optimization performance. These results indicate that such an approach has the potential to significantly reduce design optimization cost whilst achieving similar, or in some cases superior, design performance.

show abstract

Section: D Case Studysupporting

confidence: 64%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Potential of a Multifidelity Approach to Gas Turbine Combustor Design Optimization

Toal

Zhang

Keane

et al. 2021

Journal of Engineering for Gas Turbines and Power

Self Cite

View full text Add to dashboard Cite

show abstract

“…They applied a network containing 100 nodes and 99 elements. Another application of this method was shown by Zhang et al (2016), in which the network method was used to optimize the design of the combustion chamber.…”

Section: Network Approachmentioning

confidence: 99%

A review on the applications of the chemical reactor network approach on the prediction of pollutant emissions

Khodayari

Ommi

Saboohi

2020

AEAT

View full text Add to dashboard Cite

Purpose The purpose of this paper is to review the applications of the chemical reactor network (CRN) approach for modeling the combustion in gas turbine combustors and classify the CRN construction methods that have been frequently used by researchers. Design/methodology/approach This paper initiates with introducing the CRN approach as a practical tool for precisely predicting the species concentrations in the combustion process with lower computational costs. The structure of the CRN and its elements as the ideal reactors are reviewed in recent studies. Flow field modeling has been identified as the most important input for constructing the CRNs; thus, the flow field modeling methods have been extensively reviewed in previous studies. Network approach, component modeling approach and computational fluid dynamics (CFD), as the main flow field modeling methods, are investigated with a focus on the CRN applications. Then, the CRN construction approaches are reviewed and categorized based on extracting the flow field required data. Finally, the most used kinetics and CRN solvers are reviewed and reported in this paper. Findings It is concluded that the CRN approach can be a useful tool in the entire process of combustion chamber design. One-dimensional and quasi-dimensional methods of flow field modeling are used in the construction of the simple CRNs without detailed geometry data. This approach requires fewer requirements and is used in the initial combustor designing process. In recent years, using the CFD approach in the construction of CRNs has been increased. The flow field results of the CFD codes processed to create the homogeneous regions based on construction criteria. Over the past years, several practical algorithms have been proposed to automatically extract reactor networks from CFD results. These algorithms have been developed to identify homogeneous regions with a high resolution based on the splitting criteria. Originality/value This paper reviews the various flow modeling methods used in the construction of the CRNs, along with an overview of the studies carried out in this field. Also, the usual approaches for creating a CRN and the most significant achievements in this field are addressed in detail.

show abstract

“…Brooks et al (2011) optimized a transonic compressor rotor for maximum isentropic efficiency using Co-Kriging models where the different levels of fidelities were defined by the mesh resolution used for CFD. Zhang et al (2015) utilized single-and double-sector fluid volumes of a combustor feed arm geometry to construct Co-Kriging models which were subsequently used to minimize pressure loss. To the best of the authors' knowledge, structural optimization of whole engine models using mixed-dimensional finite element models and multifidelity surrogate models has not been demonstrated in the literature.…”

Section: Introductionmentioning

confidence: 99%

Multi-fidelity Kriging-assisted structural optimization of whole engine models employing medial meshes

Yong

Wang

Toal

et al. 2019

Struct Multidisc Optim

Self Cite

View full text Add to dashboard Cite

Finite element models of whole gas turbine engines, also known as whole engine models (WEMs), which consist of threedimensional solid elements are not commonly used in design optimization studies due to the high computational cost of solving them for many designs. WEMs consisting of two-dimensional shell elements can be a suitable replacement for high-fidelity solid WEMs as they approximate the responses well while being significantly quicker to solve. However, in a surrogate-assisted optimization study, the accumulation of errors in the shell WEM evaluations can result in the construction of a surrogate model that can be somewhat misleading compared to the solid WEM response surface. Such a surrogate model could return promising designs that, when validated using solid WEMs, turn out to be suboptimal or infeasible. A novel approach which combines medial meshing and multi-fidelity surrogate modelling techniques is proposed to increase the feasibility of conducting whole engine optimization studies. We demonstrate the workflow for generating medial meshes on an engine intercasing geometry. The accuracy of medial mesh simulations with respect to solid mesh simulations is evaluated and discussed in the context of their suitability as a source of low-fidelity structural information for multi-fidelity surrogate models. The impact of this combination of techniques is subsequently illustrated using two case studies. The first case study is the optimization of an intermediate compressor casing for minimum mass with constraints on the casing stiffness. The results show that the multi-fidelity approach is able to find optimum designs that are equivalent to the expensive singlefidelity approach of using only solid mesh evaluations but at a significantly lower computational cost. The second case study is the optimization of a whole engine geometry. This case study serves to demonstrate the effectiveness of the multi-fidelity approach for solving realistic design problems.

show abstract

Isothermal Combustor Prediffuser and Fuel Injector Feed Arm Design Optimization Using the prometheus Design System

Cited by 7 publications

References 35 publications

The Potential of a Multifidelity Approach to Gas Turbine Combustor Design Optimization

The Potential of a Multifidelity Approach to Gas Turbine Combustor Design Optimization

A review on the applications of the chemical reactor network approach on the prediction of pollutant emissions

Multi-fidelity Kriging-assisted structural optimization of whole engine models employing medial meshes

Contact Info

Product

Resources

About