Machining is one of the final steps in the manufacturing value chain, where the dimensional tolerances are fine-tuned, and the functional surfaces are generated. Many factors such as the process type, cutting parameters, tool geometry and wear can influence the surface integrity (SI) in machining. Being able to predict and monitor the influence of different parameters on surface integrity provides an opportunity to produce surfaces with predetermined properties. This paper presents an overview of the recent advances in computational and artificial intelligence methods for modelling and simulation of surface integrity in machining and the future research and development trends are highlighted.

Recent advances in modelling and simulation of surface integrity in machining - A review

Magnanini M. C.;
2022-01-01

Abstract

Machining is one of the final steps in the manufacturing value chain, where the dimensional tolerances are fine-tuned, and the functional surfaces are generated. Many factors such as the process type, cutting parameters, tool geometry and wear can influence the surface integrity (SI) in machining. Being able to predict and monitor the influence of different parameters on surface integrity provides an opportunity to produce surfaces with predetermined properties. This paper presents an overview of the recent advances in computational and artificial intelligence methods for modelling and simulation of surface integrity in machining and the future research and development trends are highlighted.
2022
Proceedings of the 10th CIRP Global Web Conference on Material Aspects of Manufacturing Processes
Artificial intelligence
CFD
Machine learning
Machining dynamics
Surface integrity, FEM
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1227380
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