Recent advances in modelling and simulation of surface integrity in machining – a review

Amir Malakizadi; Rachele Bertolini; Francois Ducobu; Murat Kilic; Maria Chiara Magnanini; Alborz Shokrani Chaharsooghi

doi:10.1016/j.procir.2022.10.079

Recent advances in modelling and simulation of surface integrity in machining – a review

Amir Malakizadi
, Rachele Bertolini
, Francois Ducobu
, Murat Kilic
, Maria Chiara Magnanini
, Alborz Shokrani Chaharsooghi

Chalmers University of Technology
Université de Mons
University of Manchester
Università di Padova
Polytechnic of Milan

Research output: Contribution to journal › Conference article › peer-review

14 Citations (SciVal)

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.

Original language	English
Pages (from-to)	232-240
Number of pages	9
Journal	Procedia CIRP
Volume	115
Early online date	7 Nov 2022
DOIs	https://doi.org/10.1016/j.procir.2022.10.079
Publication status	Published - 31 Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 The Author(s).

Funding

This review article is an outcome of a collaborative initiative within the framework of CIRP Research Affiliate Programme. The authors have contributed to the same extent during the preparation of the manuscript. Amir Malakizadi would like to acknowledge the supports received from Chalmers Centre for Metal Cutting Research (MCR). Alborz Shokrani would like to acknowledge the support of the UK Engineering and Physical Sciences Research Council through EP/V055011/1.

Funders	Funder number
Engineering and Physical Sciences Research Council	EP/V055011/1

Keywords

Artificial intelligence
CFD
Machine learning
Machining dynamics
Surface integrity, FEM

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.procir.2022.10.079Licence: CC BY-NC-ND

Cite this

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title = "Recent advances in modelling and simulation of surface integrity in machining – a review",

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.",

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author = "Amir Malakizadi and Rachele Bertolini and Francois Ducobu and Murat Kilic and Magnanini, \{Maria Chiara\} and \{Shokrani Chaharsooghi\}, Alborz",

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AU - Malakizadi, Amir

AU - Bertolini, Rachele

AU - Ducobu, Francois

AU - Kilic, Murat

AU - Magnanini, Maria Chiara

AU - Shokrani Chaharsooghi, Alborz

PY - 2022/12/31

Y1 - 2022/12/31

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - CFD

KW - Machine learning

KW - Machining dynamics

KW - Surface integrity, FEM

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DO - 10.1016/j.procir.2022.10.079

M3 - Conference article

SN - 2212-8271

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SP - 232

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JO - Procedia CIRP

JF - Procedia CIRP

ER -

Recent advances in modelling and simulation of surface integrity in machining – a review

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

SENSYCUT- Sensor Enabled Systems for Precision Cutting

SENSYCUT- Sensor Enabled Systems for Precision Cutting

Cite this

Recent advances in modelling and simulation of surface integrity in machining – a review

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

SENSYCUT- Sensor Enabled Systems for Precision Cutting

SENSYCUT- Sensor Enabled Systems for Precision Cutting

Cite this