Multi-response optimisation of machining aluminium-6061 under eco-friendly electrostatic minimum quantity lubrication environment

Simple item page
dc.contributor.authorJamil, Muhammad
dc.contributor.authorKhan, Aqib Mashood
dc.contributor.authorHe, Ning
dc.contributor.authorLi, Liang
dc.contributor.authorZhao, Wei
dc.contributor.authorSarfraz, Shoaib
dc.date.accessioned2020-01-17T15:26:15Z
dc.date.available2020-01-17T15:26:15Z
dc.date.issued2019-10-09
dc.description.abstractThe emerging grave consequences of conventional coolants on health, ecology and product quality, have pushed the scientific research to explore eco-friendly lubrication technique. Electrostatic minimum quantity lubrication (EMQL) has been underscored as a burgeoning technology to cut-down bete noire impacts in machining. This research confers the adoption of a negatively charged cold mist of air-castor oil employed in turning of aluminium-6061T6 material by varying the cutting conditions, as per experimental designed through response surface methodology (RSM). For comprehensive sagacity, a range of cutting speed, feed, depth of cut and EMQL-flow rate were considered. Material removal rate, tool life, surface roughness and power consumption of machine tool were adopted as performance measures. To satisfy multi-criterion simultaneously, RSM-based grey relational analysis (GRA) was employed for multi-objective optimisation. Highest proportion of grey relational grade (GRG) as a single desideratum response function, provided a trade-off between performance measures with 15.56% improvement in GRG.en_UK
dc.identifier.citationJamil M, Khan AM, He N, et al., (2019) Multi-response optimisation of machining aluminium-6061 under eco-friendly electrostatic minimum quantity lubrication environment. International Journal of Machining and Machinability of Materials, Volume 21, Issue 5-6, 2019, pp. 459-479en_UK
dc.identifier.issn1748-5711
dc.identifier.urihttps://doi.org/10.1504/IJMMM.2019.103137
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14949
dc.language.isoenen_UK
dc.publisherInderscienceen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjecttool lifeen_UK
dc.subjectsurface roughnessen_UK
dc.subjectenergy consumptionen_UK
dc.subjectsustainable manufacturingen_UK
dc.subjectRSM-based grey relational analysisen_UK
dc.subjectGrey relational analysisen_UK
dc.titleMulti-response optimisation of machining aluminium-6061 under eco-friendly electrostatic minimum quantity lubrication environmenten_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Multi-response_optimisation_of_machining_aluminium-6061-2019.pdf
Size:
2.37 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)