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Digitally-enhanced lubricant evaluation scheme for hot stamping applications.
Yang, Xiao; Liu, Heli; Dhawan, Saksham; Politis, Denis J; Zhang, Jie; Dini, Daniele; Hu, Lan; Gharbi, Mohammad M; Wang, Liliang.
Afiliación
  • Yang X; Department of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.
  • Liu H; SmartForming Research Base, Imperial College London, London, SW7 2AZ, UK.
  • Dhawan S; Department of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.
  • Politis DJ; SmartForming Research Base, Imperial College London, London, SW7 2AZ, UK.
  • Zhang J; Department of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.
  • Dini D; SmartForming Research Base, Imperial College London, London, SW7 2AZ, UK.
  • Hu L; Department of Mechanical and Manufacturing Engineering, University of Cyprus, 1678, Nicosia, Cyprus.
  • Gharbi MM; Department of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.
  • Wang L; Department of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.
Nat Commun ; 13(1): 5748, 2022 Sep 30.
Article en En | MEDLINE | ID: mdl-36180491
ABSTRACT
Digitally-enhanced technologies are set to transform every aspect of manufacturing. Networks of sensors that compute at the edge (streamlining information flow from devices and providing real-time local data analysis), and emerging Cloud Finite Element Analysis technologies yield data at unprecedented scales, both in terms of volume and precision, providing information on complex processes and systems that had previously been impractical. Cloud Finite Element Analysis technologies enable proactive data collection in a supply chain of, for example the metal forming industry, throughout the life cycle of a product or process, which presents revolutionary opportunities for the development and evaluation of digitally-enhanced lubricants, which requires a coherent research agenda involving the merging of tribological knowledge, manufacturing and data science. In the present study, data obtained from a vast number of experimentally verified finite element simulation results is used for a metal forming process to develop a digitally-enhanced lubricant evaluation approach, by precisely representing the tribological boundary conditions at the workpiece/tooling interface, i.e., complex loading conditions of contact pressures, sliding speeds and temperatures. The presented approach combines the implementation of digital characteristics of the target forming process, data-guided lubricant testing and mechanism-based accurate theoretical modelling, enabling the development of data-centric lubricant limit diagrams and intuitive and quantitative evaluation of the lubricant performance.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido