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Predicting electrical power consumption of end milling using a virtual machining energy toolkit (V_MET).

, , , , and . Comput. Ind., (September 2023)

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Summary Report., , , , and . I-ESA Workshops, volume 3214 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)An Embedded Intelligence Future Vision of Flexible Configurable Manufacturing., , , , , , , , and . I-ESA Workshops, volume 2900 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Adapting the 'Iron Triangle' to Develop a Framework for Reverse Manufacturing Decision Support Tools., , , and . CE, page 475-484. Springer, (2012)Predicting electrical power consumption of end milling using a virtual machining energy toolkit (V_MET)., , , , and . Comput. Ind., (September 2023)An industrial evaluation of an Industry 4.0 reference architecture demonstrating the need for the inclusion of security and human components., , , , , and . Comput. Ind., (2019)An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain., , , , , , and . Future Gener. Comput. Syst., (2020)A cyber physical system for tool condition monitoring using electrical power and a mechanistic model., , and . Comput. Ind., (2020)Enhancing RFID system configuration through semantic modelling., , , , , and . Knowl. Eng. Rev., (2021)Summary Report., , , , and . I-ESA Workshops, volume 2900 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)A design of experiments Cyber-Physical System for energy modelling and optimisation in end-milling machining., , , , and . Robotics Comput. Integr. Manuf., (2023)