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Image-based Digital Testing for Functional Construction Materials
Project Overview This project integrates physical modelling, data analysis, and microstructural characterisation into long-term product assessment tests. Traditional construction material assessments are costly and time-consuming, limiting industry innovation. By leveraging microstructural imaging, this research aims to simulate and eventually predict accurate material behaviour through structural analysis, enhancing the development of functional construction materials. Project Aims…
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Blockchain technologies for pharmaceutical supply chains
Project Overview Pharmaceutical supply chains involve complex characteristics and intricate data flow processes, including multiple stakeholders. These complexities give rise to numerous challenges concerning data integration and flow. This research proposes to address these challenges by combining two emerging technologies to suggest unique solutions. Based on the findings of our recent survey, it has been…
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Predictive Analytics in Steelmaking
Project Overview Industry 4.0 represents a paradigm shift in manufacturing that leverages technologies such as Internet of Things (IoT), Artificial Intelligence (AI), big data and many others to create smart, automated and interconnected systems. Steelmaking is one example of a domain undergoing transformation. Steelmaking constitutes the many processes that are used to create the strong…
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Hybrid AI for optimisation in industry
Project Overview Hybrid AI for supply chain optimization in Industry 4.0 Supply chains (SC) are increasingly challenged by uncertainty and risks in this high-tech era. In this context, to effectively identify and mitigate SC-related risks, data, information, and knowledge from different sources must be smartly exploited. This research project focuses on optimizing supply chains through…
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Morphing and moving matter: mimicking nature
Speaker: Mingchao Liu, Department of Mechanical Engineering, University of Birmingham, Birmingham, UK Time: 14:00-15:30, 31st October 2024 Location/Room: Room 010 (ground Floor), Engineering North, Bay Campus How to find us Nature’s ingenuity serves as a profound source of inspiration for developing advanced materials and robotic systems. In this presentation, we explore how biological phenomena inform innovative engineering solutions, focusing on…
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Explicit and Implicit Finite Element Techniques
Project Overview Explicit and Implicit Finite Element Techniques Applied to Mechanical and Coupled Geomechanical Problems October 2018-March 2022 In this work we determine the classes of problems within computational geomechanics where the staggered or fully implicit monolithic coupling schemes are most effective. These techniques can be applied in industries such as civil engineering and the energy-based sector, in particular the oil and gas industry.…
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Registration open for event with Hartree Centre
“Extreme Scaling Computing and Emerging Computational Approaches in Science and Engineering” Find further programme details here Venue: Y Twyni, Room 105 (Bay Campus) Registration Deadline: Wed 18th September Register here The main purpose of the workshop is to scope future collaborations between Swansea and the Hartree Centre. Subjects covered include Artificial Intelligence, Automotive, Transport and Logistics, Computational Chemistry,…
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Neural networks meet hyperelasticity: One single constitutive modelling approach applicable to all materials
Dominik K. Klein Date: 18th July 2024Time: 14:00-15:30Venue: Room B001, Engineering Central, Bay Campus Bio: Dominik K. Klein is a research assistant at the Cyber-Physical Simulation Group of Technical University of Darmstadt (Germany), which he joined in 2021 after finishing his master’s studies in mechanics. There, he conducts research on constitutive modeling with physics-augmented neural networks.…
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Numerical Modelling of Concrete Rheology in Deep Foundation Constructions
Project Overview Defects such as mattressing, inclusions, blockage and bleed caused by insufficient concrete flow or sub-par concrete quality within deep foundation constructions lead to costly delays that impact all project stakeholders. This research aims to use multiphase flow modelling to further our understanding of the mechanisms that impact concrete flow within deep foundations like…
