Modeling and simulation of surface generation in manufacturing

Guido Tosello; Giuliano Bissacco; Jian Cao; Dragos Axinte

doi:10.1016/j.cirp.2023.05.002

Modeling and simulation of surface generation in manufacturing

Guido Tosello^*, Giuliano Bissacco, Jian Cao, Dragos Axinte

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

The paper describes the state-of-the-art in modeling and simulation of surface texture and topography generation at micro and nano dimensional scales. Three main classes of manufacturing processes used for the generation of engineering surfaces are considered: material removal processes, material conservative processes, and material additive processes. Types of modeling techniques for the simulation of surface generation are reviewed and discussed including analytical models, numerical multi-physics models, and data-driven methods. After presenting the application of those modeling techniques for the prediction of characteristics and geometry of surfaces generated by different manufacturing processes, their performance, implementation, and accuracy are discussed. Finally, a roadmap for the realization of a complete surface generation digital twin in manufacturing is outlined.

Original language	English (US)
Pages (from-to)	753-779
Number of pages	27
Journal	CIRP Annals
Volume	72
Issue number	2
DOIs	https://doi.org/10.1016/j.cirp.2023.05.002
State	Published - Jan 2023

Funding

The authors gratefully acknowledge Prof. Hans N. Hansen, Prof. Brigid Mullany, Prof. Enrico Savio, Prof. Richard Leach for support and insightful discussions in the preparation of this paper in the early stages. Prof. Ismail Lazoglu, Dr.-Ing. Daniel Meyer, Dr.-Ing. Andreas Klink, Prof. Ping Guo, Prof. Masanori Kunieda, Prof. Chris V. Nielsen, Prof. Takahashi are thanked for their suggestions and contributions. This research work was undertaken in the context of the DIGIMAN4.0 project (\u201CDIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production\u201D, http://www.digiman4-0.mek.dtu.dk/). DIGIMAN4.0 is a European Training Network supported by Horizon 2020, the EU Framework Programme for Research and Innovation (Project ID: 814225). This research work was undertaken in the context of the DIGIMAN4.0 project (\u201C DIGItal MANufacturing Technologies for Zero -defect Industry 4.0 Production\u201D, http://www.digiman4-0.mek.dtu.dk/ ). DIGIMAN4.0 is a European Training Network supported by Horizon 2020, the EU Framework Programme for Research and Innovation (Project ID: 814225 ).

Keywords

Manufacturing
Modelling
Simulation
Surface

ASJC Scopus subject areas

Mechanical Engineering
Industrial and Manufacturing Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.cirp.2023.05.002

Cite this

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title = "Modeling and simulation of surface generation in manufacturing",

abstract = "The paper describes the state-of-the-art in modeling and simulation of surface texture and topography generation at micro and nano dimensional scales. Three main classes of manufacturing processes used for the generation of engineering surfaces are considered: material removal processes, material conservative processes, and material additive processes. Types of modeling techniques for the simulation of surface generation are reviewed and discussed including analytical models, numerical multi-physics models, and data-driven methods. After presenting the application of those modeling techniques for the prediction of characteristics and geometry of surfaces generated by different manufacturing processes, their performance, implementation, and accuracy are discussed. Finally, a roadmap for the realization of a complete surface generation digital twin in manufacturing is outlined.",

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author = "Guido Tosello and Giuliano Bissacco and Jian Cao and Dragos Axinte",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2023",

month = jan,

doi = "10.1016/j.cirp.2023.05.002",

language = "English (US)",

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AU - Tosello, Guido

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AB - The paper describes the state-of-the-art in modeling and simulation of surface texture and topography generation at micro and nano dimensional scales. Three main classes of manufacturing processes used for the generation of engineering surfaces are considered: material removal processes, material conservative processes, and material additive processes. Types of modeling techniques for the simulation of surface generation are reviewed and discussed including analytical models, numerical multi-physics models, and data-driven methods. After presenting the application of those modeling techniques for the prediction of characteristics and geometry of surfaces generated by different manufacturing processes, their performance, implementation, and accuracy are discussed. Finally, a roadmap for the realization of a complete surface generation digital twin in manufacturing is outlined.

KW - Manufacturing

KW - Modelling

KW - Simulation

KW - Surface

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Modeling and simulation of surface generation in manufacturing

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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