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Early integration of sensors for efficient SHM of aerostructure during their service. Using a mix of reactive machines and limited memory this project develops new fuzzy logic based artificial intelligence (AI) algorithms for SHM system integration. The research will focus on early...
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-vibration problems came to light, indicating that modern, light-weight, low-frequency and lightly-damped structures have to be designed with new standards, grounded on a theoretical framework for human
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focus on the development of operation and future-aware multidisciplinary aircraft design framework. Air transportation activities increase faster than the introduction of new environmental impact
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remained unclear for decades, and thus design principles for discovering new thermal battery materials have been lacking. In this industrially sponsored PhD studentship, we have partnered with AWE to fund a
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information yielded by this study will allow us to develop design principles for new Na-ion battery cathodes with improved electrochemical performance. Promising candidates will be experimentally tested through
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information such as speeds, vibrations, approaching target distances, vehicle locations. This project aims for a systematic investigation on analysis, design, and evaluation of enhanced ISLAC waveforms
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Start date: September 2024 (Home/EU students and International) PhD Formula Student Electric Powertrain Design and Optimisation The Faculty of Technology Design and Environment at Oxford Brookes
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on developing an innovative framework grounded in Design for Dynamic Management, we integrate AI and predictive analytics to enable adaptive decision-making. This PhD research at Cranfield University aligns with
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. Being able to predictively design particle properties is of great economic value and is applicable to a range of industries such as pharmaceuticals, agrochemical, additives, cosmetics and food
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sustainability for flushable, premoistened nonwoven wipes, e.g. use less, clean better, surface actives play an indispensable role. The aim of this project is to design and optimise innovative surface actives used