Analysis of advanced technology impact on HSCT engine cycle performance

Roth, Bryce Alexander; Mavris, Dimitri N.

doi:10.2514/6.1999-2379

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…This excludes designs of systems for which all the design variables are abstract (e.g. design and optimization of a HSCT Engine Cycle [33], where all the design variables are pressure ratios, temperatures or flows). However, many engineering systems have geometric inputs and will be very well suitable for the methodology.…”

Section: Resultsmentioning

confidence: 99%

Physically-Based, Real-Time Visualization and Constraint Analysis in Multidisciplinary Design Optimization

Deremaux

Willcox

Haimes

2003

33rd AIAA Fluid Dynamics Conference and Exhibit

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As computational tools becomes a valuable part of the engineering process, multidisciplinary design optimization (MDO) has become a popular approach for the design of complex engineering systems. MDO has had considerable impact by improving the performance, lowering the lifecycle cost and shortening product design time for complex systems; however, lack of knowledge on the design process is often expressed by the engineering community. This thesis addresses this issue by proposing a novel approach that brings visualization into the MDO framework and delivers a physically-based real-time constraint analysis and visualization.A framework and methodology are presented for effective, intuitive visualization of design optimization data. The visualization is effected on a Computer-Aided-Design (CAD)-based, physical representation of the system being designed. The use of a parametric CAD model allow real-time regeneration by using the Computational Analysis PRogramming Interface (CAPRI). CAPRI is used to link a general optimization framework to the CAD model. An example is presented for multidisciplinary design optimization of an aircraft.The new methodology is used to visualize the path of the optimizer through the design space. Visualizing the optimization process is also of interest for optimization health monitoring. By detecting flaws in the optimization definition, useless computations and time can be saved. Visualization of the optimization process enables the designer to rapidly gain physical understanding of the design tradeoffs made by the optimizer. The visualization framework is also used to investigate constraint behavior. Active constraints are displayed on the CAD model and the participation of design variables in a given constraint is represented in a physically intuitive manner.This novel visualization approach serves to dramatically increase the amount of learning that can be gained from design optimization tools and also proves useful as a diagnostic tool for identifying formulation errors. The ACDL has been a wonderful place to work, but also to socialize and meet people.Garrett, on the other side of the wall, has been great teaching me Latex ("One day to learn, a lifetime to master") and giving me so many insights on the American culture. Life in the lab would have been different without the French speaking crew (David, Jérome, Hector and Matthieu) and the many special people that made each day unexpected (Mark, Victor and Vivian). Thank you to Joe, for sharing these many hockey moments that helped me stay fit and sane ! Other people at MIT also deserve a particular thank: Franck, Manu and JB.Of course, I must acknowledged my family across the Atlantic. A lot of emails, Yahoo messenger discussions and phone calls can easily bring a piece of France to the US. And yes, Laetitia, I will graduate after you, but at least, I am finally graduating ! Finally, I could not end this section without talking about Carole. I wanted to deeply thank her for listening to me day after day, for supporting me ...

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Section: Resultsmentioning

confidence: 99%

Physically-Based, Real-Time Visualization and Constraint Analysis in Multidisciplinary Design Optimization

Deremaux

Willcox

Haimes

2003

33rd AIAA Fluid Dynamics Conference and Exhibit

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“…Once this is known, the losses inside the various components connecting the stations can be deduced. 11 The result of this analysis is a "loss deck," as shown in Fig. 4.…”

Section: Step 2: Develop Differential Loss Management Modelmentioning

confidence: 98%

Generalized Model for Vehicle Thermodynamic Loss Management

Roth

Mavris

2003

Journal of Aircraft

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A general-purpose loss management model to account for the usage of thermodynamic work potential in vehicles of any type is developed. The key to accomplishing this is the creation of a differential representation for vehicle loss as a function of operating condition. This differential model is then integrated through mission time to obtain an analytical estimate for total usage of work potential consumed by each loss mechanism present during vehicle operation. This leads to a better understanding of how the work potential initially present in the mission fuel is partitioned amongst all loss mechanisms present during the vehicle's operation. This result can also be used in conjunction with cost accounting to gain a better understanding of underlying drivers on vehicle manufacturing and operating costs. The method is demonstrated for the analysis of a lightweight ghter aircraft.

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“…Based on knowledge of work potential at every station, the loss due to the various components connecting the stations can be deduced, as demonstrated by Roth and Mavris for a High Speed Civil Transport Application. 13 The result of this analysis is a "loss deck," as shown in Figure 4. The loss deck is a component-wise breakdown of every propulsion system loss as a function of operating condition, and is somewhat analogous to the tabular "engine decks" commonly used to represent propulsion system performance in vehicle analysis today.…”

Section: Stepmentioning

confidence: 99%

A generalized model for vehicle thermodynamic loss management and technology concept evaluation

Roth

Mavris

2000

2000 World Aviation Conference

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The objective of this paper is to develop a generalized loss management model to account for the usage of thermodynamic work potential in vehicles of any type.The key to accomplishing this is creation of a differential representation for vehicle loss as a function of operating condition. This differential model is then integrated through time to obtain an analytical estimate for total usage (and loss) of work potential consumed by each loss mechanism present during vehicle operation. The end result of this analysis is a better understanding of how the work potential initially present in the fuel, batteries, etc. is partitioned amongst all losses relevant to the vehicle's operation. The loss partitioning estimated from this loss management model can be used in conjunction with cost accounting systems to gain a better understanding of underlying drivers on vehicle manufacturing and operating costs. In addition, loss management models are useful for evaluation of technology models during the preliminary phases of design because they provide a common basis to measure the impact of disparate technologies.

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Analysis of advanced technology impact on HSCT engine cycle performance

Cited by 7 publications

References 10 publications

Physically-Based, Real-Time Visualization and Constraint Analysis in Multidisciplinary Design Optimization

Physically-Based, Real-Time Visualization and Constraint Analysis in Multidisciplinary Design Optimization

Generalized Model for Vehicle Thermodynamic Loss Management

A generalized model for vehicle thermodynamic loss management and technology concept evaluation

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