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

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

7 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

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

SENSYCUT- Sensor Enabled Systems for Precision Cutting
Mohammadi, A. (PI)
Engineering and Physical Sciences Research Council
15/12/21 → 14/12/24
Project: Research council
SENSYCUT- Sensor Enabled Systems for Precision Cutting
Shokrani Chaharsooghi, A. (PI) & Newman, S. (CoI)
Engineering and Physical Sciences Research Council
15/12/21 → 15/08/25
Project: Research council

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.",

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

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month = dec,

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doi = "10.1016/j.procir.2022.10.079",

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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.

U2 - 10.1016/j.procir.2022.10.079

DO - 10.1016/j.procir.2022.10.079

M3 - Conference article

SN - 2212-8271

VL - 115

SP - 232

EP - 240

JO - Procedia CIRP

JF - Procedia CIRP

ER -

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

Abstract

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Projects

SENSYCUT- Sensor Enabled Systems for Precision Cutting

SENSYCUT- Sensor Enabled Systems for Precision Cutting

Cite this