New insights into the methods for predicting ground surface roughness in the age of digitalisation

Grinding is a multi-length scale material removal process that is widely employed to machine a wide variety of materials in almost every industrial sector. Surface roughness induced by a grinding operation can affect corrosion resistance, wear resistance, and contact stiffness of the ground componen...

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Published inPrecision engineering Vol. 67; pp. 393 - 418
Main Authors Pan, Yuhang, Zhou, Ping, Yan, Ying, Agrawal, Anupam, Wang, Yonghao, Guo, Dongming, Goel, Saurav
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.01.2021
Subjects
Digital manufacturing
Digitalisation
Industry-4.0
Precision grinding
Prediction
Quality
Digitalisation
Precision grinding
Industry-4.0
Digital manufacturing
Quality
Prediction
Online AccessGet full text
ISSN0141-6359
DOI10.1016/j.precisioneng.2020.11.001

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Abstract Grinding is a multi-length scale material removal process that is widely employed to machine a wide variety of materials in almost every industrial sector. Surface roughness induced by a grinding operation can affect corrosion resistance, wear resistance, and contact stiffness of the ground components. Prediction of surface roughness is useful for describing the quality of ground surfaces, evaluate the efficiency of the grinding process and guide the feedback control of the grinding parameters in real-time to help reduce the cost of production. This paper reviews extant research and discusses advances in the realm of machining theory, experimental design and Artificial Intelligence related to ground surface roughness prediction. The advantages and disadvantages of various grinding methods, current challenges and evolving future trends considering Industry-4.0 ready new generation machine tools are also discussed. [Display omitted] •The classification of ground surface roughness prediction methods are discussed.•Numerous methods for the predicition of the ground surface roughness with their principles and limitations are presented.•The development trend of the ground surface roughness prediction models are analyzed.•A futuristic multi-information fusion system for surface roughness prediction in the age of digitalisation is proposed.
AbstractList Grinding is a multi-length scale material removal process that is widely employed to machine a wide variety of materials in almost every industrial sector. Surface roughness induced by a grinding operation can affect corrosion resistance, wear resistance, and contact stiffness of the ground components. Prediction of surface roughness is useful for describing the quality of ground surfaces, evaluate the efficiency of the grinding process and guide the feedback control of the grinding parameters in real-time to help reduce the cost of production. This paper reviews extant research and discusses advances in the realm of machining theory, experimental design and Artificial Intelligence related to ground surface roughness prediction. The advantages and disadvantages of various grinding methods, current challenges and evolving future trends considering Industry-4.0 ready new generation machine tools are also discussed. [Display omitted] •The classification of ground surface roughness prediction methods are discussed.•Numerous methods for the predicition of the ground surface roughness with their principles and limitations are presented.•The development trend of the ground surface roughness prediction models are analyzed.•A futuristic multi-information fusion system for surface roughness prediction in the age of digitalisation is proposed.
Author Pan, Yuhang
Zhou, Ping
Agrawal, Anupam
Goel, Saurav
Wang, Yonghao
Guo, Dongming
Yan, Ying
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  givenname: Anupam
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  organization: Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian 116024, China
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  organization: School of Engineering, London South Bank University, 103 Borough Road, London, SE1 0AA, UK
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Precision grinding
Industry-4.0
Digital manufacturing
Quality
Prediction
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Snippet Grinding is a multi-length scale material removal process that is widely employed to machine a wide variety of materials in almost every industrial sector....
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SubjectTerms Digital manufacturing
Digitalisation
Industry-4.0
Precision grinding
Prediction
Quality
Title New insights into the methods for predicting ground surface roughness in the age of digitalisation
URI https://dx.doi.org/10.1016/j.precisioneng.2020.11.001
Volume 67
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