Toward an integrated CFD expert system environment

Wesley, Leonard P.; Lee, Janet; Rodman, Laura C.; Childs, Robert E.

doi:10.2514/6.1998-1005

Cited by 7 publications

(3 citation statements)

References 1 publication

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“…Another type of expert system was developed to diagnose problems, aid decision making and provide best practices in the CFD environment. Wesley et al 10 brought forward a CFD expert system by integrating AI and CFD to monitor the user input and inspect unreasonable combinations. Thus, wasted simulation runs could be reduced.…”

Section: Introductionmentioning

confidence: 99%

Association of design and computational fluid dynamics simulation intent in flow control product optimization

Lange

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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Computational fluid dynamics has been extensively used for fluid flow simulation and thus guiding the flow control device design. However, computational fluid dynamics simulation requires explicit geometry input and complicated solver setup, which is a barrier in case of the cyclic computer-aided design/computational fluid dynamics integrated design process. Tedious human interventions are inevitable to make up the gap. To fix this issue, this work proposed a theoretical framework where the computational fluid dynamics solver setup can be intelligently assisted by the simulation intent capture. Two feature concepts, the fluid physics feature and the dynamic physics feature, have been defined to support the simulation intent capture. A prototype has been developed for the computer-aided design/computational fluid dynamics integrated design implementation without the need of human intervention, where the design intent and computational fluid dynamics simulation intent are associated seamlessly. An outflow control device used in the steam-assisted gravity drainage process is studied using this prototype, and the target performance of the device is effectively optimized.

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Section: Introductionmentioning

confidence: 99%

Association of design and computational fluid dynamics simulation intent in flow control product optimization

Lange

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Utilization of artificial intelligence within the design environment has received much attention in the past. In particular, knowledge-based systems (KBS) have been shown to be well suited for various design applications [2,3,4]. For example, an expert system can serve as a post-processing guide.…”

Section: Introductionmentioning

confidence: 99%

Demonstration of CLIPS as an intelligent front-end for POST

Budianto

Olds

Baker

1999

37th Aerospace Sciences Meeting and Exhibit

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Most of the analysis codes used in the design of aerospace systems are complex, requiring some expertise to set up and execute. POST, which is used in many conceptual design studies to compute space vehicle performance characteristics, often encounters numerical difficulties in solving the defined trajectory problem. Usually POST fails to converge when its control variables are given a bad set of initial guesses, causing the trajectory to remain in the infeasible design region throughout the computations. The user then analyzes the output produced and relies on a set of heuristics, typically gained from experience with the program, to determine the appropriate modification to the problem setup that will guide POST in finding a feasible region and eventually converge to a solution.

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“…These include being able to readily and flexibly incorporate a wide class of CFD codes and software tools, thus providing, as much as possible, a "plug-and-play'' CFD capability incorporate help and tutorial information to facilitate the rapid and proper use of CFD tools provide intuitive user-friendly graphical user interfaces (GUIs) for the input of analysis related information and the visualization of analysis data easily incorporate the rules and information that capture the dependencies between parameters and the use of CFD codes employ validation methods to help ensure the consistent application of rules governing the parameterization and use of codes readily and flexibly incorporate user specifications of procedures to follow when certain flow solving, grid generation, and/or post processing conditions are encountered support the use product quality assessment software modules, as well as modules that carry out model-based predictions of computational resources capture the domain knowledge that is needed to manage inter-and intra-stage analysis activities 0 0 Some of our previous work with using the RTM to control other CFD codes such as OVERFLOW, INS2D, and TMRC ' have demonstrated progress toward meeting these requirements [7,8,9]. In the following sections we describe our approach that begins to meet some of these requirements.…”

Section: Introductionmentioning

confidence: 99%

Dynamic control of the WIND CFD code

Wesley¹,

Childs²,

Labozzetta³

et al.

2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542)

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Obtaining robust solutions from Computational Fluid Dynamics (CFD) computations remains a topic of interest to the aerospace community. Typically, multiple analysis runs that require manual monitoring and intervention must be done to obtain acceptable solutions. This paper presents the results of efforts to evaluate a particular knowledge-based approach, called the runtimemanager (RTM), to reduce the need to manually monitor and intervene running CFD codes, and to reduce the computational time needed to reach acceptable solutions.We also characterize the performance of the RTM in a way that allows CFD engineers to predict the potential benefits of using the RTM. Preliminary results suggests that the RTM can help reduce the number of labor hours to complete moderately complex analyses up to 75%, and help d u c e computational time up to 44%. We describe the canonical tests and the relatively simple modifications made to the WIND code to achieve these results.

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Toward an integrated CFD expert system environment

Cited by 7 publications

References 1 publication

Association of design and computational fluid dynamics simulation intent in flow control product optimization

Association of design and computational fluid dynamics simulation intent in flow control product optimization

Demonstration of CLIPS as an intelligent front-end for POST

Dynamic control of the WIND CFD code

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