Current Issue : July-September Volume : 2026 Issue Number : 3 Articles : 5 Articles
The documentation of component manufacturing has become an essential element of modern production, not only to meet customer requirements but also to support the analysis and optimization of production processes and component designs with respect to structural performance, economic efficiency, and sustainability. To enable effective interaction between different disciplines, standardized process descriptions as well as consistent information and data structures are required. Digital manufacturing instructions and process documentation based on standardized, formalized process descriptions and the automated acquisition of process data offer significant potential for robust and efficient manufacturing. In this context, a semantic data model ensures data consistency and enhances opportunities for process analysis and optimization. This contribution presents a method for the standardized digital documentation of a composite manufacturing process using a formalized process description. A digital life data sheet (LDS), combining manufacturing instructions and documentation, is implemented using Atlassian Confluence and applied to the production of a composite multispar movable of a long-range reference aircraft configuration. The usability of the developed LDS is evaluated, potential improvements are identified, and the underlying semantic data model is described....
With the rapid development of large-scale satellite constellations and the intelligent progression of satellites, distributed task planning algorithms have garnered extensive research. However, traditional distributed algorithms face drawbacks such as increased communication burdens and slower response to emergency tasks when dealing with task planning for large satellite clusters. This paper introduces improvements to the traditional contract network protocol to address these shortcomings. Firstly, a method for satellites to determine their own dominant tasks is proposed with the aim of alleviating the superfluous negotiation communication among satellites. Secondly, in the context of batch task upload scenarios, a multitask single-bid methodology is designed. Furthermore, a provisional task group was constituted to conduct small-scale intersatellite negotiations for exceptional and urgent tasks for the purpose of minimizing the response time of the system. The simulation results indicate that the algorithm marginally enhances the computing memory of satellites but decreases the intersatellite communication traffic....
This paper introduces the GRIPP (GNSS/SBAS Receiver, Independent and Portable PVT) system, an open-source SDR oriented GNSS/SBAS receiver. Composed of a Pocket SDR FE device, an L-band antenna and a computer, this system aims to ease the deployment and test of future GNSS and SBAS evolutions, providing a fully documented and customizable receiver. Acting like a generic navigation toolbox, the main idea is to be able to quickly adapt it for research and development purposes, introducing new filtering methods or PVT algorithms. Besides these engineering applications, the goal is also to use it for educational purposes to introduce GNSS and SBAS to the general audience....
Space weather monitoring is critical to protect not only our technological assets in space, but also mitigate disruptions to life and society that depends on these vulnerable assets. Significant attention and resources have been dedicated to space weather monitoring at Earth, but little attention to date has been paid to planetary space weather monitoring. The MAVEN mission has instruments and capabilities to monitor solar eruptive events and in situ transients at Mars, but these data are typically not actionable due to long data latencies. Recent efforts have been made to upgrade the data pipeline to produce and serve solar X‐ray and EUV irradiance data from the MAVEN Extreme UltraViolet Monitor (EUVM) instrument with low‐latency, and these data are now available. This paper describes this MAVEN EUVM data real‐time processing and the space weather data products that are now available near real‐time to monitor space weather from Mars....
This paper applies the recently developed Prediction-Based Control Barrier Functions (PB-CBFs) to the obstacle avoidance problem for multirotor air taxis in Urban Air Mobility (UAM). Unlike conventional Control Barrier Functions (CBFs), PB-CBFs incorporate escape path predictions into the formulation, facilitating safe controller design for dynamical systems with high relative degree and enabling safety under strict control constraints. We first review the PB-CBF framework, then formulate the safety requirements specific to the collision avoidance problem and derive the corresponding invariance conditions. Finally, we validate our approach through simulation of the obstacle avoidance scenario, demonstrating the efficacy of PB-CBFs in ensuring safety in UAM operations and providing additional insight into the mechanism by which predictions are leveraged to enforce safety....
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