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

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dc.contributor.authorPan, Yuhang
dc.contributor.authorZhou, Ping
dc.contributor.authorYan, Ying
dc.contributor.authorAgrawal, Anupam
dc.contributor.authorWang, Yonghao
dc.contributor.authorGuo, Dongming
dc.contributor.authorGoel, Saurav
dc.date.accessioned2020-12-11T15:59:30Z
dc.date.available2020-12-11T15:59:30Z
dc.date.issued2020-11-06
dc.description.abstractGrinding 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.en_UK
dc.identifier.citationPan Y, Zhou P, Yan Y, et al., (2021) New insights into the methods for predicting ground surface roughness in the age of digitalisation. Precision Engineering, Volume 67, January 2021, pp. 393-418en_UK
dc.identifier.issn0141-6359
dc.identifier.urihttps://doi.org/10.1016/j.precisioneng.2020.11.001
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16084
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIndustry-4.0en_UK
dc.subjectDigitalisationen_UK
dc.subjectQualityen_UK
dc.subjectPredictionen_UK
dc.subjectDigital manufacturingen_UK
dc.subjectPrecision grindingen_UK
dc.titleNew insights into the methods for predicting ground surface roughness in the age of digitalisationen_UK
dc.typeArticleen_UK

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