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of Ni#Al intermetallic-based superalloys. The project will focus on predicting thermal histories, residual stress development, and crack susceptibility during additive manufacturing. Using finite element
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process). These empirical, computational and experimental methods and their reliability are often questioned due to various disturbances (wind, wave, current, biofouling, human factor) which can increase
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. The candidate will explore which data fields and workflows are essential for widespread adoption, how to parameterize LCA templates for diverse building elements, and how accessible automation can support dynamic
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comparative case study research (Yin 2017) as primary research methodology, enriched with elements of design thinking (Brown 2008) and action design research (Sein et al. 2011). This ambitious PhD research
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team (Website | Facebook) at Tallinn University of Technology (TalTech) and Budapest University of Technology and Economics (BME). Electrospinning is a flexible, scalable and affordable method to deposit
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to improve performance characteristics of low-value hardwoods by the densification process, thereby increasing their value. Sustainable chemical modifications and energy-efficient low-temperature methods will
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-mediated services for stakeholders Strategic alignment of AI with service design and business strategies and models Responsible management The candidate will conduct interdisciplinary, mixed-methods research
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(BME). Electrospinning is a flexible, scalable and affordable method to deposit nanofibrous layers, including composite multilayer membranes. Currently, there are 1) no readily available nanofiber
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necessary to consider also the control methods through which it is possible to increase both machine efficiency and controller efficiency. The overall goal of the project is to develop the control methodology
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improved adaptability and scalability for autonomous vehicles, their black-box nature presents significant challenges for safety assurance. Traditional validation methods rely on pre-defined datasets