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Kai Wicke

Researcher at German Aerospace Center

Publications -  34
Citations -  212

Kai Wicke is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Computer science & Aviation. The author has an hindex of 5, co-authored 26 publications receiving 139 citations.

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Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project

TL;DR: The WeCare project (Utilizing Weather information for Climate efficient and eco-efficient future aviation) as mentioned in this paper aimed at finding solutions for reducing the climate impact of aviation based on an improved understanding of the atmospheric impact from aviation by making use of measurements and modeling approaches.
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Insect Contamination Impact on Operational and Economic Effectiveness of Natural-Laminar-Flow Aircraft

TL;DR: In this paper, the authors investigate the effect of insect contamination on operational and economic effectiveness of an aircraft with natural laminar flow wings designed by DLR and show how insect debris located close to the wing leading edge influence fuel consumption on single missions as well as economic metrics like net present value.
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Developing prescriptive maintenance strategies in the aviation industry based on a discrete-event simulation framework for post-prognostics decision making

TL;DR: In this article, a discrete event simulation framework is developed that uses established parameters to describe a condition-monitoring technology's performance and subsequently develops a suitable prescriptive maintenance strategy.

Mission and Economic Analysis of Aircraft with Natural Laminar Flow

TL;DR: In this article, the impact on fuel efficiency on single missions and on airline operational level as well as economic metrics like the net present value of a natural laminar flow (NLF) aircraft with forward swept wings is analyzed.
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Theoretical framework of systems design for the air transportation system including an inherently quantitative philosophy of scenario development

TL;DR: An iterative waterfall model is presented, which serves as a mental model of integration and decomposition over cascades of levels of detail from global scenario level to a single technology.