Browse Topic: Cost analysis
The emergence of electric Vertical Takeoff and Landing (eVTOL) air vehicles is transforming how people and freight are moved in short distances. This transformation has a profound impact on surrounding infrastructure necessary to provide Aircraft On Ground support for eVTOLs. The hover capabilities of eVTOLs have similar operating characteristics within terminal and uncontrolled airspace. However, the need to conserve battery energy via rapid approaches and departures affects terminal airspace management. To attract eVTOL operators, existing airports, landing zones, and vertiports are modifying their infrastructure to include fixed electric charging stations, additional taxiways, upgraded fire suppression systems, separate hangers, and capable MRO facilities. Augusta Regional Airport (KAGS) is the base airport for the annual Masters Golf Tournament which experiences five times the normal airport traffic and some 40,000 commuting patrons. eVTOLs can offset land traffic issues associated with commuters and supplies. Since KAGS is centroid to 32,000 square miles of territory void of major highways, basing eVTOLs can offer expedited transit services for people and goods which will have a profound impact on the economic viability and quality of life in the area.
This study investigates the use of machine learning (ML) models to estimate the gross weight (GW), the longitudinal position of the center of gravity (CGx), and 1/rev cyclic flapping angles (Δ1c and Δ1s) of a compound helicopter with three redundant controls - main rotor RPM, collective propeller thrust, and stabilator angle. Neural Network (NN), Gaussian Process for Regression (GPR), and Support Vector Machine (SVM) algorithms are employed to develop estimation models using supervised training. The airspeed, redundant controls, main rotor controls, aircraft attitudes, and main rotor torque are selected as input variables (predictors) to the models due to their accessibility through the aircraft Health and Usage Monitoring System (HUMS). The dataset is split into low-speed and high-speed regimes to compare the prediction accuracy and training cost of separate regime models against a combined full-regime model. Separate airspeed regime GPR models showed superior performance in GW estimation, with higher accuracy and cost-effectiveness compared to a single full-regime model. For CG estimation, GPR again outperformed NN and SVM, although the maximum outlier errors increase significantly if a 95% confidence interval is considered. Finally, for 1/rev cyclic flapping angle predictions, SVM estimations, though not superior to GPR or NN, were acceptable and had a significantly lower computational cost. The study also examined the importance of predictors, highlighting that, on average, certain predictors like rotor RPM and rotor torque are less influential, but their removal degraded performance and had no cost benefit.
For high end composite manufacturing in a rapid development environment, the long lead item is often the hard tooling, in particular the cure mold. A traditional metal mold takes in the neighborhood of four to nine months to design, fabricate and validate. With high temperature capable print materials, and larger and faster printers, Additive Manufacturing (AM) appears to have high potential in this area of advanced composites manufacturing. Sikorsky has used AM very successfully on a scale up to approximately 3'x3' and cure temperatures of 350°F. Though long-term durability is still to be determined; the materials, technologies, and techniques Sikorsky has employed for AM autoclave cure molds on this scale have consistently exceeded expectations. AM tools along the scale of main rotor blades could be leveraged to realize even more significant cost and schedule gains from AM autoclave tooling, and in this area, there are still more questions than answers when it comes to a dependable tooling solution. Rotorcraft development, in particular Future Vertical Lift (FVL), programs offer an opportunity to realize the significant schedule and cost benefits AM can provide for composite tooling.
Software Open Systems Architecture (OSA) was first implemented on rotorcraft platform mission systems over 15 years ago. Mission systems OSA, similar to many other larger scale digital ecosystems OSA, continue to evolve to meet changing business needs. The dynamic and evolving nature of mission systems OSA is found to be consistent with observations and analyses of other large scale digital ecosystems. While multiple published papers describe the desired benefits in applying an OSA approach, this exploratory paper extends previous work by defining an approach for assessing the relative and realized benefits of a given OSA. A new technique for conducting architecture relative openness analysis is presented and then applied to a mission systems OSA. The new analysis technique compares a production rotorcraft OSA to conceptually open and closed architectures with consideration of business drivers and software ecosystems. This paper describes realized OSA benefits that are quantified by performing Quality Attribute (QA) cost / benefit analyses on fielded / production OSA products. Practical results from the fielded OSA cost / benefit analyses are also applied to OSAs that are currently being developed to support future Army rotorcraft programs. By applying the described new architecture comparative analysis technique, insight into actual OSA benefits and ecosystem dynamics can be more clearly understood and strategy for realizing additional future potential OSA benefits can be established. It is ultimately shown that the real benefit of a given OSA depends on how well it meets continuously evolving business and broader ecosystem stakeholder needs.
Existing scientific research balloons such as those launched from Wallops Flight Facility could be placed in near- Earth space where they would perform as solar sails, providing relatively inexpensive propulsion systems for interplanetary missions. The balloons would accelerate at rates comparable with the ion drive performance of the NASA Dawn spacecraft, so they would enable unprecedented low-cost access to interplanetary space.
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