Browsing by Author "Jolly, Mark"

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    Exploring circular economy in the United Kingdom based on LinkedIn data from company profiles
    (Elsevier, 2025-04-25) Tsironis, Georgios; Cox, Rylan; Jolly, Mark; Salonitis, Konstantinos; Tsagarakis, Konstantinos P.
    This work explores the landscape of Circular Economy within the business domain through an innovative approach to topic modelling applied to 1396 LinkedIn company profiles in the UK. We explore thematic structures within a dataset curated through the LinkedIn search engine prompt for companies related to the Circular Economy. Leveraging Latent Dirichlet Allocation models, we identify topics that encapsulate the essence of circular and sustainable business practices. Our findings unveil key thematic clusters, including “Waste Management and Environmental Impact,” highlighting companies at the forefront of waste reduction and eco-conscious industry practices. Another significant cluster, “Sustainable Solutions and Customer-Centric Approach,” delves into businesses seamlessly integrating sustainability across product design and customer interactions. Lastly, “Green Technology and Community Building” sheds light on companies excelling in green technology and actively contributing to environmentally responsible global networks. Topic modelling is employed as a powerful tool for unravelling complex business narratives and fostering a holistic approach to sustainable practices.
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    Modeling and simulation of cold hearth continuous casting of titanium alloys
    (Springer, 2025-03-03) Mozhi Varman, J. P. Arul; Sivarupan, Tharmalingam; Georgarakis, Konstantinos; Salonitis, Konstantinos; Jolly, Mark
    In the present study, an alternative sustainable method of manufacturing Ti6Al4V alloys from industrial scraps/swarfs is discussed. CFD modeling and simulation of cold hearth continuous casting process is done using FLOW-3D TruVOF and FAVOR techniques. A high-performance computing is utilised to optimise the computing resources to simulate the hydrodynamic and thermal behaviour of the liquid metal. Simulations with different superheating temperatures is conducted to understand the flow properties and solidification. These findings provide valuable insights into understanding of flow properties and thermal distribution for reliable molten metal delivery contributing to efficient recycling and sustainable manufacturing processes.