13 process-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"OSU" PhD positions at Cranfield University
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temperature field, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across
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insights for diagnosing and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that
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targeting the aerospace and automotive sectors. The aim is to engineer advanced metamaterials that offer enhanced mechanical strength, thermal stability, and multifunctionality, enabling lighter, safer
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circular resource recovery. Negative emissions technologies. Techno-economic, life cycle, and process modelling for decision support. CFD including of complex multiphase flow. Simulation of wind
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. A typical caveat of data-driven modelling using learning algorithms as Extreme Learning Machine (ELM) is that training data should cover the entire domain of process parameters to achieve accurate
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-based additive manufacturing, arc and laser directed energy deposition, thermal–mechanical modelling, and intelligent process monitoring and control for fusion energy applications. We welcome
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materials science, coating deposition process technology, and device engineering for non-flat optics. The main objectives and tasks are as follows: Materials Engineering: Critically review literature
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on the fundamentals of ice accretion physics, the practicalities of ice protection system design, and the icing certification process. The project will integrate high-fidelity multi-physics
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understanding of wet waste conversion processes in SCWO reactors, having impact in enhancing process performance and resource recovery. The researcher will work as part of a collaborative research and development
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is a need for a Condition-based maintenance (CBM) which holds the promise of predicting machinery maintenance requirements based on process performance measurements. Diagnostics and Prognostics are