Analytical modeling of surface roughness in precision grinding of particle reinforced metal matrix composites considering nanomechanical response of material

Zhenzhong  Zhang; Peng Yao; Jun  Wang; Chuanzhen Huang; Rui Cai; Hongtao  Zhu

doi:10.1016/j.ijmecsci.2019.04.047

Analytical modeling of surface roughness in precision grinding of particle reinforced metal matrix composites considering nanomechanical response of material

Zhenzhong Zhang, Peng Yao, Jun Wang, Chuanzhen Huang, Rui Cai, Hongtao Zhu

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

47 Citations (Scopus)

171 Downloads (Pure)

Abstract

Grinding is usually applied for particle reinforced metal matrix composites (PRMMCs) to achieve high ground surface quality. However, the surface quality especially surface roughness is difficult to predict theoretically due to different mechanical properties of two or more phases inside the PRMMCs. In this study, an analytical model of the surface roughness of ground PRMMCs is developed based on an undeformed chip thickness model with Rayleigh probability distribution by considering the different removal mechanism of metal matrix and reinforcement particles in grinding. GT35, a typical kind of steel based metal matrix composite reinforced with TiC particles is investigated as an example. Nanoindentation experiments are employed for the investigation of nanomechanical properties and cracking behavior of GT35 and the nanoindentation results are integrated in the model. Single factor surface grinding experiments of GT35 are also carried out to understand the material removal mechanism of GT35 and validate this novel surface roughness prediction model. The predicted surface roughness from this model shows good agreement with the experimental results.

Original language	English
Pages (from-to)	243-253
Number of pages	11
Journal	International Journal of Mechanical Sciences
Volume	157-158
Early online date	23 Apr 2019
DOIs	https://doi.org/10.1016/j.ijmecsci.2019.04.047
Publication status	Published - Jul 2019

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Mechanical Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Mechanical Sciences, [157-158], (2019) DOI: 10.1016/j.ijmecsci.2019.04.047

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Nanoindentation
Precision grinding
PRMMCs
Surface roughness

ASJC Scopus subject areas

Civil and Structural Engineering
General Materials Science
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering

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10.1016/j.ijmecsci.2019.04.047

Post-PrintAccepted author manuscript, 2.73 MBLicence: CC BY-NC-ND

Cite this

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title = "Analytical modeling of surface roughness in precision grinding of particle reinforced metal matrix composites considering nanomechanical response of material",

abstract = "Grinding is usually applied for particle reinforced metal matrix composites (PRMMCs) to achieve high ground surface quality. However, the surface quality especially surface roughness is difficult to predict theoretically due to different mechanical properties of two or more phases inside the PRMMCs. In this study, an analytical model of the surface roughness of ground PRMMCs is developed based on an undeformed chip thickness model with Rayleigh probability distribution by considering the different removal mechanism of metal matrix and reinforcement particles in grinding. GT35, a typical kind of steel based metal matrix composite reinforced with TiC particles is investigated as an example. Nanoindentation experiments are employed for the investigation of nanomechanical properties and cracking behavior of GT35 and the nanoindentation results are integrated in the model. Single factor surface grinding experiments of GT35 are also carried out to understand the material removal mechanism of GT35 and validate this novel surface roughness prediction model. The predicted surface roughness from this model shows good agreement with the experimental results.",

keywords = "Nanoindentation, Precision grinding, PRMMCs, Surface roughness",

author = "Zhenzhong Zhang and Peng Yao and Jun Wang and Chuanzhen Huang and Rui Cai and Hongtao Zhu",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in International Journal of Mechanical Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Mechanical Sciences, [157-158], (2019) DOI: 10.1016/j.ijmecsci.2019.04.047 {\textcopyright} 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ ",

year = "2019",

month = jul,

doi = "10.1016/j.ijmecsci.2019.04.047",

language = "English",

volume = "157-158",

pages = "243--253",

journal = "International Journal of Mechanical Sciences",

issn = "0020-7403",

publisher = "Elsevier",

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TY - JOUR

T1 - Analytical modeling of surface roughness in precision grinding of particle reinforced metal matrix composites considering nanomechanical response of material

AU - Zhang, Zhenzhong

AU - Yao, Peng

AU - Wang, Jun

AU - Huang, Chuanzhen

AU - Cai, Rui

AU - Zhu, Hongtao

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Mechanical Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Mechanical Sciences, [157-158], (2019) DOI: 10.1016/j.ijmecsci.2019.04.047 © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2019/7

Y1 - 2019/7

N2 - Grinding is usually applied for particle reinforced metal matrix composites (PRMMCs) to achieve high ground surface quality. However, the surface quality especially surface roughness is difficult to predict theoretically due to different mechanical properties of two or more phases inside the PRMMCs. In this study, an analytical model of the surface roughness of ground PRMMCs is developed based on an undeformed chip thickness model with Rayleigh probability distribution by considering the different removal mechanism of metal matrix and reinforcement particles in grinding. GT35, a typical kind of steel based metal matrix composite reinforced with TiC particles is investigated as an example. Nanoindentation experiments are employed for the investigation of nanomechanical properties and cracking behavior of GT35 and the nanoindentation results are integrated in the model. Single factor surface grinding experiments of GT35 are also carried out to understand the material removal mechanism of GT35 and validate this novel surface roughness prediction model. The predicted surface roughness from this model shows good agreement with the experimental results.

AB - Grinding is usually applied for particle reinforced metal matrix composites (PRMMCs) to achieve high ground surface quality. However, the surface quality especially surface roughness is difficult to predict theoretically due to different mechanical properties of two or more phases inside the PRMMCs. In this study, an analytical model of the surface roughness of ground PRMMCs is developed based on an undeformed chip thickness model with Rayleigh probability distribution by considering the different removal mechanism of metal matrix and reinforcement particles in grinding. GT35, a typical kind of steel based metal matrix composite reinforced with TiC particles is investigated as an example. Nanoindentation experiments are employed for the investigation of nanomechanical properties and cracking behavior of GT35 and the nanoindentation results are integrated in the model. Single factor surface grinding experiments of GT35 are also carried out to understand the material removal mechanism of GT35 and validate this novel surface roughness prediction model. The predicted surface roughness from this model shows good agreement with the experimental results.

KW - Nanoindentation

KW - Precision grinding

KW - PRMMCs

KW - Surface roughness

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DO - 10.1016/j.ijmecsci.2019.04.047

M3 - Article

SN - 0020-7403

VL - 157-158

SP - 243

EP - 253

JO - International Journal of Mechanical Sciences

JF - International Journal of Mechanical Sciences

ER -

Analytical modeling of surface roughness in precision grinding of particle reinforced metal matrix composites considering nanomechanical response of material

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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Rui Cai

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Analytical modeling of surface roughness in precision grinding of particle reinforced metal matrix composites considering nanomechanical response of material

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Fingerprint

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Rui Cai

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