System architecture optimization with runtime reconfiguration of simulation models

Wichmann, Alexander; Jäger, Sven; Jungebloud, Tino; Maschotta, Ralph; Zimmermann, Armin

doi:10.1109/syscon.2015.7116826

Cited by 7 publications

(9 citation statements)

References 13 publications

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“…the architecture design is carried out at a high level of abstraction using low‐fidelity steady‐state models for the components. Some research takes a different approach whereby the low‐level, high‐fidelity components models are simulated directly within the optimization algorithm . A schematic of this design flow is outlined in Figure .…”

Section: Related Workmentioning

confidence: 99%

“…Some research takes a different approach whereby the low-level, high-fidelity components models are simulated directly within the optimization algorithm. 12,16 A schematic of this design flow is outlined in Figure 3. This has the advantage of being able to assess the low-level performance of candidate architectures visited by the optimization scheme.…”

Section: A-a Set Of Architectures Built In a Framework Nmentioning

confidence: 99%

“…The effect of the combination of operations in Equation 16 is to extract and sum the relevant values from the flow interconnections matrix C fr based on which oil chambers are controlled via the same valves.…”

Section: Controllabilitymentioning

confidence: 99%

“…Improved project performance can be gained even through less formal approaches whereby the majority of systems architecture decisions are carried out using the knowledge and expertise of engineers, but in a well‐defined task‐flow . More formal approaches attempt to automate some of these tasks and use optimization to produce optimal architectures that maximize satisfaction of some objective function and ensure system requirements or constraints are met . Use of optimization also ensures a fuller exploration of the search space and limits the effects of cognitive biases.…”

Section: Introductionmentioning

confidence: 99%

“…2018;21:417-431. c 2018 Wiley Periodicals, Inc. 417 wileyonlinelibrary.com/journal/sys met. [9][10][11][12][13][14][15][16] Use of optimization also ensures a fuller exploration of the search space and limits the effects of cognitive biases. This paper follows a more formal approach, presenting a framework for optimization of controlled flow network architectures.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Hambley

Jones

Griffin

et al. 2018

Systems Engineering

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Turbofan oil systems are used to provide lubrication and cooling in the engine . There is an increasing interest in oil system architectures which utilize electric pumps and/or valves to give optimized control of flows to individual oil chambers, leading to improved thermal management of oil and lubrication efficiency. The challenges here lie in the trade‐off between increasing controllability and minimizing the addition of new components, which adds unwanted production and maintenance costs. This paper formulates the oil system architecture design as a constrained, multiobjective optimization problem. An architecture is described using a graph with nodes representing components and edges representing interconnections between components. A fixed set of nodes called the architecture template is provided as an input and the edges are optimized for a multicriteria objective function. A heuristic method for determining similarities between the different oil chamber flow requirements is presented. This is used in the optimization to evaluate the controllability objective based on the structure of the valve architecture. The methodology provides benefits to system designers by selecting cheaper architectures with fewer valves when the need to control oil chambers separately is small. The effect of manipulating the cost/controllability criteria weightings is investigated to show the impact on the resulting architecture.

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Section: Related Workmentioning

confidence: 99%

Section: A-a Set Of Architectures Built In a Framework Nmentioning

confidence: 99%

Section: Controllabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Hambley

Jones

Griffin

et al. 2018

Systems Engineering

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Towards a Reconfiguration Framework for Systems Engineering Integrating Use Phase Data

Qasim

Hein

Janković

et al. 2019

Proc. Int. Conf. Eng. Des.

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One of the aims of systems engineering is to develop systems with a number of pre-defined configurations, in order to operate effectively and efficiently in different contexts and environments. Early in the design phase, system reconfiguration allows to propose and optimize these configurations. With regard to the literature review and industrial observation, pre-defining the standard configurations without relying on hints from end users has been raised as a major difficulty within the industry. In this paper, we propose a reconfiguration framework which considers data collected from the use phase in order to generate valid and optimized configurations with regard to stakeholders needs.

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Model-driven development of simulation-based system design tools

Jäger

Maschotta

Jungebloud

et al. 2016

2016 IEEE 14th International Conference on Software Engineering Research, Management and Applications (SERA)

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System architecture optimization with runtime reconfiguration of simulation models

Cited by 7 publications

References 13 publications

Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Towards a Reconfiguration Framework for Systems Engineering Integrating Use Phase Data

Model-driven development of simulation-based system design tools

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