The objective of this paper is to describe a method for rapid creation of cabin CAD (Computer Aided Design) models for usage in CFD (Computational Fluid Dynamics) simulations of cabin air ventilation. The intention is to automate the process of model creation in order to speed up the process and reduce the workload both in CAD modeling and mesh creation. The described method is part of a larger process intended to facilitate the usage of CFD cabin air ventilation simulations for passenger comfort. Thus it serves the long-term objective of

increased cabin comfort.

The complete simulation process including flow calculation and post-processing will be detailed in future publications

Fuchte, Jörg

Rajkowski, Sergej

Wick, Andreas

English

Institute of Transport Research:Publications

Workshop on Aviation System TechnologyAST 2011RAPID CREATION OF CFD-CAPABLECAD-MODELS FOR CABIN AIR VENTILATIONSIMULATIONJo¨rg Fuchte∗1, Sergej Rajkowski2, Andreas Wick31Air Transportation Systems, German Aerospace CenterBlohmstrae 18, 21079 Hamburg, Germany2Airbus Operations on behalf of Aerotec EngineeringKreetslag 10, 21129 Hamburg, Germany3Airbus OperationsKreetslag 10, 21129 Hamburg, GermanyJoerg.Fuchte@dlr.deAbstractThe objective of this paper is to describe a method for rapid creation of cabin CAD (ComputerAided Design) models for usage in CFD (Computational Fluid Dynamics) simulations ofcabin air ventilation. The intention is to automate the process of model creation in order tospeed up the process and reduce the workload both in CAD modeling and mesh creation. Thedescribed method is part of a larger process intended to facilitate the usage of CFD cabinair ventilation simulations for passenger comfort. Thus it serves the long-term objective ofincreased cabin comfort.The complete simulation process including flow calculation and post-processing will bedetailed in future publications.1 INTRODUCTION1.1 MotivationIncreased passenger comfort is one objective of the stated ACARE-goals. Passengercomfort is affected by the climate inside the cabin. Many factors such as temperature,humidity and intensity of airflow do influence the perceived comfort. The individualperception of the climate comfort has become a research subject (see [5] for furtherdetails). The cabin represents a confined space with many heat sources like passengers,electronic equipment, windows and monuments. Especially in dense economy classAST 2011, March 31 - April 1, Hamburg, GermanyJo¨rg Fuchte, Sergej Rajkowski, Andreas Wickseating the air has to be circulated constantly. As result the climate inside the cabindepends on factors like seat position and passengers may experience different levels ofcomfort according to their position inside the cabin. For future cabins both in long andshort range operations, passengers will demand higher levels of climate comfort fordifferent operational environments. An experimental simulation of these conditions isnearly impossible.In recent years CFD-simulations of cabin airflow have become more feasibledue to more powerful computers and advances in code (see [1], [2] and [3]). Althoughthe required computer resources still limit such simulations to a small number, infuture such simulations will become more affordable. However, the modeling cannotbe sped up by simply adding computer resources and might become the bottleneck inincreasing the number of scenarios or design iterations.For that purpose Airbus Operations and the German Aerospace Center launcheda project to enhance the modeling process both in required resources and ease ofadaption. The presented method is considered a compromise between quick generationand model complexity.1.2 State of the ArtAny CFD simulation requires a mesh. Usually this mesh is generated from CAD-models using a commercial software. The CAD models can be generated with anyestablished tool. In this case CATIA V5 is the used CAD-software. A CAD-modelfor mesh generation has to adhere to a number of specific requirements. This makesalready existing CAD models intended for different purposes impractical or impos-sible to use. If these requirements are disregarded a very time-consuming repairprocess needs to be performed on the generated mesh. Therefore the CAD-models forCFD-simulations need to be specifically created and require specific experience of thesubject.CATIA like most other CAD-tools supports parametric design features. That is,defined dependencies inside the model are connected to user-defined parameters. If theparameter is changed the entire model changes accordingly. This feature allows quickadaption of models with little effort. This has limitations as changed architecture ofthe cabin or different overhead bin layout may exceed the parametric capability of theCAD-software. The requirements for problem-free meshing also reduce the options ofthe designer for usage of parametric relationships.1.3 OverviewThe basic cabin layout is calculated external from the CAD-software. This allowsusage of more powerful analytical software like Matlab. The resulting geometry issaved as a number of ASCII files that contain raw data and parameters. A number of2AST 2011, March 31 - April 1, Hamburg, Germanyfunctions written in the CATIA-internal script language ”CATIA Visual Basic Script”create the model. The entire CAD-model generation does not require additionaluser input and can be performed in the background. Pre-designed adaptable parts(Powercopy) are used to represent objects with complex geometry like seats andpassengers. The model complexity is adapted to the capability of the CFD simulation.2 TOOL CHAIN DESCRIPTIONThe tool chain consists of three different softwares, each responsible of one step in theprocess. Figure 1 illustrates the dependencies, input and outputs.1. Cabin layout generation program implemented in Matlab2. CAD-Model creation using CATIA based on the results of the previous step.3. Meshing of the CAD-Model using ANSA softwareThe usage of a third program besides CAD software and meshing tool might notseem rational initially as CATIA already offers far-reaching options for parametricdesign and scripting. The idea to use a more capable software like Matlab is motivatedby the complex dependencies of cabin design. Some basic differences betweencabin (like number of classes or placement of monuments) can already exhaust theparametric capability of the software or make modeling very time consuming. Codingthe program in CATIA is unattractive due to the limited capabilities of the CATIAprogramming language.Figure 1: Process Description3Jo¨rg Fuchte, Sergej Rajkowski, Andreas Wick2.1 LOPA GenerationThe Layout of Passenger Accommodation (LOPA) describes the location of all objectsinside the cabin, including seats, galleys and lavatories. Even for the considered singleaisle aircraft they can vary considerably between different operators. A Matlab-basedtool creates a LOPA depending on user-defined options like comfort standards or seatchoice. The layout is adapted to the physical characteristics of the cabin such as thediameter and door position.Figure 2: LOPA generated by Matlab ProgramThe LOPA generator was developed separately by the German Aerospace Center andis also used for other applications. The monument and seat placement is largely basedon knowledge-based dependencies, which orient on current state-of-the-art in cabinlayout.The generated LOPA is the basis for the model creation. Besides seat positionsthe tool also generates 3-dimensional coordinates for the overhead stowage bins andlining of the cabin. These items basically adhere to the limitations of the surroundingstructure but are also the result of industrial design considerations. The geometry isconsequently difficult to describe with analytical means. To match the actual shape ofthe cabin lining the geometry is directly imported. Figure 3 illustrates how the lininggeometry is calculated as function of the cabin dimensions.2.2 CAD-Software Interface and Model CreationThe creation of the CAD-model is the heart of the entire process. The program consistsof a number of scripts using the CATIA internal programming language CATIA VisualBasic Script (commonly referred to as CATvbs). CATvbs is very similar to the othercommonly used CATIA languages. It is based on Visual Basic and uses object orientedprogramming features. The language allows to perform most of the actions that can bedone manually in CATIA, while some limitations exist. It is very powerful when usinga large amount of pre-generated data such as the input from the Layout Generator. Inthe legacy process the CAD user does usually not decide on cabin features such asseat number, lining shape or monument placement. He receives it as input (usually as4AST 2011, March 31 - April 1, Hamburg, GermanyFigure 3: Geometry of Cabin Sectionprint generated by a specific cabin design software) and translates it manually into aCAD model. Therefore an automated process starting with exactly these parametersdoes not reduce the autonomy of the responsible engineer.The CAD-geometry has to adhere to a set of requirements in order to be suitablefor mesh generation. The most commonly known requirement is ”watertight” designof the geometry. That is, the surfaces of the models are not allowed to have any gapsthat can be misinterpreted by the meshing tool. For simple objects the requirementis rather easy to meet, but for more complex models that require a large numberof surfaces to be used, the requirement can be tough. Surface joints are the biggestissue. Although usage of ”surface split” offer a remedy, their potential has limitationsand the processing time is substantial. A number of different approaches have beentested. In the end, a direct surface creation is used and watertightness is provided bycareful coordination of neighboring surfaces. Different surface characteristics canbe generated by cutting a piece out of a surface but keeping the cut. Figure 4 showsthe result in CATIA for the data displayed in figure 3. In that model all surfaces arecreated as lofts from contours, while the windows are generated using surface splits.While lining and cabin layout can be efficiently created from scratch usinga script-based design, some cabin objects are too complex for this approach. Mostimportantly the seat rows with the passengers. As the flow characteristics close tothe passengers are of primary interest, these objects require more detailed modeling.These items are introduced as pre-designed parts known as ”Powercopy” in CATIA.”Powercopy” is a method in CATIA in which parts can be imported so that theyadapt to the master part file. The method is most efficient when the master part andthe included shape only share a limited number of interfaces. That is clearly thecase for the seat rows. Different seat types are available and unoccupied seats canbe included wherever necessary. A typical single aisle aircraft features mainly 3-seatrows (rarely 2-seat rows), so that all possible layouts and load factors can be generatedusing a set of about a dozen seat row models. An example is shown in figure 5. A5Jo¨rg Fuchte, Sergej Rajkowski, Andreas WickFigure 4: CATIA generated Lining Section from Matlab Inputsimilar approach was tested for other objects like overhead bin sections but proveduneconomical and unreliable. ”Powercopy” is usually time consuming, but it can alsobe automized using script.Figure 5: Seat Row with Passengers as ”Powercopy”Monuments are only of limited importance and do not have to be modeled ingreat detail. They are important as object as they act as barrier for airflow in aisledirection. Galleys may also be an emitter of heat. Monuments are usually placed in thefront and aft end of the aircraft, or at the exit rows. The presented approach especiallyallows to test different monument options with regard to their influence on cabin airventilation. For successful further processing of the CAD-model a consistent namingof all surfaces is important. Otherwise the meshing tool cannot associate the boundaryconditions to the surfaces. This process can be very time-consuming when the modelis created manually, especially when several hundred surfaces need to be re-named.6AST 2011, March 31 - April 1, Hamburg, Germany2.3 Transfer to Meshing SoftwareThe CAD-model can be directly read by the meshing software. No usage of commonCAD formats such as IGES or STEP is necessary. The software ANSA is usedspecifically as it provides that feature for models created in CATIA V5 (see [6]).However, growing compatibility between softwares will allow to use other meshingtools if their usage is considered of advantage for the whole process. A well designedCAD model complies with most meshing tools and hence increases flexibility andindependence from specific software solutions.3 RESULTSFor demonstration purposes a set of different monument options in a single aisle cabinis demonstrated. The presented options are typical for different operators. The layoutis also shown in figure 2. The shown examples represent possible monument optionsfor the first exit lane.1. No monuments at all, only class dividers and seats.2. Single galley and lavatory behind the aisle3. Full galley installation at right hand side, single lavatory at left hand side.4. Full galley installation at right hand side, two lavatories at left hand side.The Layout Generator adapts the seats to the monument positions, which are eitherdetermined automatically or can be defined as input in order to create a particularlayout.If limited to the shown number of seat rows the creation takes about 20 minuteseach. More seat rows increase the required time. The integration of the Powercopiestakes longest, also due to their complexity. Monuments are represented by their outerwalls. The subsequent meshing requires a translation of the model using first a modelconverter and the then the main meshing program ANSA. The meshing in ANSArequires about 2 hours, all on standard desktop computers. The duration dependsstrongly on the desired grid characteristics, which depend on the intended result of thesimulation.A full CFD-simulation requires a lot of additional information apart from themesh itself. A good example of a full CFD-simulation can be found in [4].4 DISCUSSIONThe described process is intended to facilitate cabin air ventilation simulations.Successful CFD-simulations requires careful attention to many different subjects with7Jo¨rg Fuchte, Sergej Rajkowski, Andreas Wick(a) Option 1 (b) Option 2(c) Option 3 (d) Option 4Figure 6: Second Exit Lane - Monument Optionsmodeling being only one of it. However, as soon as a working CFD-simulation processwith boundary conditions has been established, the modeling may present a majorbottleneck.Compared to manual creation the described method yields a number of advan-tages. The main advantage of the tool chain is increased speed of model creation anda reduction in direct man hour expenditure. Large parts of the process do not requiredirect attention of the designer. The method still yields various opportunities for visualcheck of the created model. Manual adaption of the geometry model is possible beforestarting the meshing process, so that the method partly retains the flexibility of themanual creation process.The tool introduces flexibility in the chosen cabin layout and load factor. That allowsto simulate different layouts for various operators and may broaden the spectrum of theCFD-based climate comfort simulations. The automation features exceed capabilitiesthat can be provided by usage of the CAD software internal parametric capability.The motivation was to reduce the amount of low value design tasks while retaining theability of the design engineer to check and change the model if required. The qualityof the mesh cancels any requirement for repair work, which has added considerable8AST 2011, March 31 - April 1, Hamburg, Germany(a) Rendered View I (b) Rendered View II(c) Rendered View II (d) Finished CATpartFigure 7: Different Views of Finished CATparts(a) Surface Mesh at PAX Model (b) Volume Mesh around Seat RowFigure 8: Resulting Mesh for CFDman hour expenditure in the past.The usage of an automated process like the presented also introduces limita-tions. The initial effort to model a fully new cabin design is higher. The overhead bindesign needs to be included into the Matlab environment. However, if more than onemodel is supposed to be created the additional effort is quickly regained.9Jo¨rg Fuchte, Sergej Rajkowski, Andreas WickThe model complexity has been limited to ease automated creation. If some detailslike modeling of the lining in close proximity of the window prove to be of criticalimportance the geometry creation may be enhanced.Finally, the different software modules are still in a stage of development and requirean experienced user as operator.5 CONCLUSIONThe paper presented an approach to speed up the creation of CAD-models for CFDsimulations for cabin air ventilation. The presented method allows a significant reduc-tion in expended time, especially if several different versions of a similar aircraft arerequired.While the method represents an enhancement for the current process, it may offergrowth potential for future projects. More affordable CFD-simulation resources mayallow a verification of different cabin layouts in terms of passenger climate comfort.The complete simulation process including flow calculation and post-processingwill be detailed in future publications.References[1] M. Konstantinov, M. Ru¨tten, M. Lambert, C. Wagner, Strahlung als wesentlicherFaktor der numerischen Simulation von Flugzeugkabineninnenstrmungen frKomfortvorhersagen. (Deutscher Luft- und Raumfahrtkongress 2009)[2] M. Ru¨tten, M. Konstantinov, C. Wagner, Analysis of Cabin Air Ventilation in theDo728 Test Facility Based on High Resolution Thermography. (Deutscher Luft-und Raumfahrtkongress 2008)[3] J. Bosbach, M. Ku¨hn, M. Ru¨tten, C. Wagner, Mixed Convection in a Full ScaleCabin Mock-Up. (25th International Conference on the Aeronautical Sciences,Germany, 2006)[4] O. Webel, M. Ru¨tten, M. Lambert, C. Wagner, Numerical Simulation of a MixedVentilation Setup in an Aircraft Cabin. (Deutscher Luft- und Raumfahrtkongress2010)[5] C. Marggraf-Micheel, J. Winzen, Ansatzpunkte zur Steigerung des thermis-chen Komforts in der Flugzeugkabine - Ergebnisse aus dem Do728 Mock-Up.(Deutscher Luft- und Raumfahrtkongress 2010)[6] CAE Systems SA, ANSA for demanding CFD pre-processing. MarketingBrochure - www.beta-cae.gr10

Analysis of Cabin Air Ventilation in the Do728 Test Facility Based on High Resolution Thermography. (Deutscher Luftund Raumfahrtkongress

ANSA for demanding CFD pre-processing. Marketing Brochure - www.beta-cae.gr

Ansatzpunkte zur Steigerung des thermischen Komforts

Mixed Convection in a Full Scale Cabin Mock-Up.

Numerical Simulation of a Mixed Ventilation Setup in an Aircraft Cabin. (Deutscher Luft- und Raumfahrtkongress

Strahlung als wesentlicher Faktor der numerischen Simulation von Flugzeugkabineninnenstrmungen fr Komfortvorhersagen. (Deutscher Luft- und Raumfahrtkongress

RAPID CREATION OF CFD-CAPABLE CAD-MODELS FOR CABIN AIR VENTILATION SIMULATION

RAPID CREATION OF CFD-CAPABLE CAD-MODELS FOR CABIN AIR VENTILATION SIMULATION

Abstract

Similar works

Full text

Available Versions

Institute of Transport Research:Publications