2023 Edition Challenges
Design and mission optimization of a crisis response aerial vehicle
/// aeronautic ///
The conceptual design parameters of any aerial vehicle are implicitly related to its intended mission. Therefore, it is easily inferred that the optimization of either of the two is equally essential for achieving the best possible configuration and operational envelope for the final design. The aim of this challenge is to provide insight on how digital mission engineering (DME) tools and simulation are useful in streamlining the above process, by providing an answer to the “what if’s” during design, testing, and operations in a mission context. Given a specific mission and access to DME tools you will be tasked with conceptually designing your own aircraft that best satisfies its objectives and simulating the performance of your final design within the mission envelope. Note that you will have complete freedom to tackle and prioritize the challenge objectives according to the strengths and limitations of your team expertise. Best of luck!
Monitoring and predictive maintenance of on-board reusable systems
/// space ///
The increasing number of space missions has fuelled the deployment of new launch services that focus on reusability as capability to enable their business models in a competitive scenario, by reducing their operations’ cost, making more agile campaigns and increasing launch rate. Two axes drive that target, first the correct awareness in real-time of the launcher systems’ status. Secondly the flight data exploitation towards predictive maintenance on ground of the reusable systems to ready its availability for next flight. That strategy highly contributes to the reusability and hence to cost reductions and agile campaigns. Your team will be entrusted with the detailed definition of the strategy/methodology for the implementation of an on-board system monitoring (which are the parameters to monitor?) and post-flight RAMS assessment, with the objective of increasing the reusable system availability. The use data exploitation techniques in the domain of predictive maintenance is encouraged (IVHM, integrated vehicle health monitoring, degradation models, supervised models, regression algorithms…), applied to the collected in-flight data (maybe simulated). With these studies we might answer the question, what is the real impact of reusability on launch operations’ costs and launch service business model?
May the force be with you!
Design and mission optimization of a crisis response aerial vehicle
/// aeronautic ///
The conceptual design parameters of any aerial vehicle are implicitly related to its intended mission. Therefore, it is easily inferred that the optimization of either of the two is equally essential for achieving the best possible configuration and operational envelope for the final design. The aim of this challenge is to provide insight on how digital mission engineering (DME) tools and simulation are useful in streamlining the above process, by providing an answer to the “what if’s” during design, testing, and operations in a mission context. Given a specific mission and access to DME tools you will be tasked with conceptually designing your own aircraft that best satisfies its objectives and simulating the performance of your final design within the mission envelope. Note that you will have complete freedom to tackle and prioritize the challenge objectives according to the strengths and limitations of your team expertise. Best of luck!