Multi-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Process

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dc.cclicenceCC-BY-NCen
dc.contributor.authorDamavandi, Esmaeil
dc.contributor.authorKolahdooz, Amin
dc.contributor.authorShokoohi, Yousef
dc.contributor.authorLatifi Rostami, Seyyed Ali
dc.contributor.authorTabatabaei, Sayed Mohamadbagher
dc.date.acceptance2021-06-17
dc.date.accessioned2022-08-09T15:41:24Z
dc.date.available2022-08-09T15:41:24Z
dc.date.issued2022-02-22
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractCutting parameters and factors should be selected wisely to increase the quality of a product. Therefore, the optimisation of the deep drilling process was investigated by utilising the Taguchi method on three materials by three different tools. The influences of cutting speed and workpiece temperature are investigated on machining power, surface roughness and tool wear. The results revealed that the application of preheating could provide lower power consumption and a relatively good finished surface. In continuation, analysis of variance demonstrated that all factors are effective, but the workpiece material and speed are the most influential parameters on surface roughness and power consumption, respectively. Workpiece material influenced about 72.24% on machining performance, and its effect was more than tool material (3.64%). For machining power, the effect of speed (55.41%) was higher than others. The preheating and lower speeds reduced tool wear of titanium coated and cobalt coated drills.en
dc.funderNo external funderen
dc.identifier.citationDamavandi, E., Kolahdooz, A., Shokoohi, Y., Rostami, S.A.L. and Tabatabaei, S.M., (2022) Multi-objective parameter optimisation to improve machining performance on deep drilling process. International Journal of Machining and Machinability of Materials, 23 (5-6), pp. 500-513en
dc.identifier.doihttps://doi.org/10.1504/IJMMM.2021.121196
dc.identifier.issn1748-572X
dc.identifier.urihttps://hdl.handle.net/2086/22092
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherInderscienceen
dc.researchinstituteInstitute of Engineering Sciences (IES)en
dc.subjectmachining poweren
dc.subjectPrecoolingen
dc.subjectPreheatingen
dc.subjectMachining performanceen
dc.subjectSurface roughnessen
dc.subjectMachining poweren
dc.titleMulti-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Processen
dc.typeArticleen

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