Browsing by Author "Romero, David"

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    An industry 4.0-enabled low cost predictive maintenance approach for SMEs: a use case applied to a CNC turning centre
    (IEEE, 2018-08-16) Sezer, Erim; Romero, David; Guedea, Federico; Macchi, Marco; Emmanouilidis, Christos
    This paper outlines the base concepts, materials and methods used to develop an Industry 4.0 architecture focused on predictive maintenance, while relying on low-cost principles to be affordable by Small Manufacturing Enterprises. The result of this research work was a low-cost, easy-to-develop cyber-physical system architecture that measures the temperature and vibration variables of a machining process in a Haas CNC turning centre, while storing such data in the cloud where Recursive Partitioning and Regression Tree model technique is run for predicting the rejection of machined parts based on a quality threshold. Machining quality is predicted based on temperature and/or vibration machining data and evaluated against average surface roughness of each machined part, demonstrating promising predictive accuracy.
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    Research challenges for eco-efficient and circular industrial systems
    (Springer , 2024-09-07) Despeisse, Mélanie; Acerbi, Federica; Arioli, Veronica; Childe, Stephen; Colombo, Beatrice; Evans, Steve; González Chávez, Clarissa A.; Jones, Saul; Nujen, Bella B.; Pezzotta, Giuditta; Powell, Daryl; Toller Melén, Carl; Vasconcelos, Margarida; Yang, Miying; Wuest, Thorsten; Romero, David
    The field of industrial sustainability is rapidly expanding with new concepts and frameworks emerging almost daily. At the same time, mature ones are being used in new applications and combined with new technologies and methodologies. While these developments are promising, the ambitions, scale, and speed of the change required to meet sustainability goals urgently need to increase. To accelerate industrial sustainability research and its impact, experts were invited to discuss research challenges in a webinar series focused on ten priority areas for eco-efficient and circular industrial systems. This paper presents the research challenges discussed to share sustainability practices, stimulate collaborations, and inspire change for more impactful applied research and knowledge transfer to industry.