Recent advances in modelling and simulation of surface integrity in machining - A review
Paper i proceeding, 2022

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.

Machine learning

CFD

Artificial intelligence

Surface integrity, FEM

Machining dynamics

Författare

Amir Malakizadi

Chalmers, Industri- och materialvetenskap, Material och tillverkning

Rachele Bertolini

Università di Padova

Francois Ducobu

Universite de Mons

Z. Murat Kilic

University of Manchester

Maria Chiara Magnanini

Politecnico di Milano

Alborz Shokrani

University of Bath

Procedia CIRP

22128271 (eISSN)

Vol. 115 232-240

10th CIRP Global Web Conference on Material Aspects of Manufacturing Processes
Gothenburg, Sweden,

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Bearbetnings-, yt- och fogningsteknik

Övrig annan teknik

DOI

10.1016/j.procir.2022.10.079

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Senast uppdaterat

2023-01-10