System Design Methods And Vehicle example essay topic

The primary objective of this research paper is the exploration of advanced, non-deterministic aerospace system design methods and vehicle sizing technologies that are needed to significantly increase the capabilities of designers and systems analysts. In particular, this research is focused on the challenge presented by revolutionary aerospace concepts of the Boeing Corporation. New missions in both the commercial and military aerospace sectors are demanding solutions with unprecedented simultaneous improvements in performance, cost, and environmental compatibility. Many of these solutions may be unconventional in nature, both in their geometric configuration and in the manner in which they are employed. Innovations in both generic system analysis methods and in actual vehicle sizing / synthesis are desperately needed to enable government and industry designers to efficiently generate and accurately evaluate unconventional designs and revolutionary concepts. My research pursues innovations in the context of this structured framework, focusing on emerging areas in vehicle design and computing methodologies and leveraging current fundamental research in the area of design decision-making, probabilistic modeling, and optimization.

The specific objective of individual tasks is to identify, analyze, and test emerging methods and tools in a consistent and complete manner, and to explore means to make optimal decisions based on this knowledge. Advances in performance and increases in revenue are most often facilitated by the development and application of new technologies. Recent efforts in multidisciplinary design have yielded methods for the evaluation and selection of technologies in the presence of uncertainty. Many of these methods aim to forecast the impacts of new technologies amidst the uncertainties associated with technology performance and operating conditions. These forecasting abilities aid in the selection of the technology that gives the highest probability of success.

Many methods offer efficient probabilistic assessments that allow the designer to extract the optimal solution. However, a single optimal solution may not be sufficient for systems that are heavily influenced by operating conditions. All aerospace and industrial power systems are influenced by at least a few parameters such as air density, pressure, temperature, humidity, etc (Falton, 1998). For instance, power plant output fluctuates significantly with changes in ambient conditions.

In order to evaluate proposed technologies for such a system, a new approach is needed in order to define a framework where operational uncertainties may be quantified and modeled. I will focus somewhat on the methodology and the competitive edges of the Boeing company that helped the company achieve its superior status it is enjoying at present. A robust design methodology has been developed, whereby operating conditions and their impacts can be modeled easily and accurately. An industrial gas turbine power plant is used as an example, and the proposed methodology is integrated with existing methods developed by Maoris and Kirby in order to predict the overall impact of a technology over a yearlong period of operation in a specified region. This paper demonstrates how to use this model to refine the design of the technology. Hence, the technology development is treated as a sub optimization problem in which the optimum design settings of the technologies are found.

This ambient model is then used to forecast the impact of each technology (Falton, 1998). Finally, these results are then used to select the most promising technology for implementation into the final design.