Reliability assessment of cutting tool life based on surrogate approximation methods

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dc.contributor.authorSalonitis, Konstantinos
dc.contributor.authorKolios, Athanasios
dc.date.accessioned2016-09-01T15:31:29Z
dc.date.available2016-09-01T15:31:29Z
dc.date.issued2014-01-04
dc.description.abstractA novel reliability estimation approach to the cutting tools based on advanced approximation methods is proposed. Methods such as the stochastic response surface and surrogate modeling are tested, starting from a few sample points obtained through fundamental experiments and extending them to models able to estimate the tool wear as a function of the key process parameters. Subsequently, different reliability analysis methods are employed such as Monte Carlo simulations and first- and second-order reliability methods. In the present study, these reliability analysis methods are assessed for estimating the reliability of cutting tools. The results show that the proposed method is an efficient method for assessing the reliability of the cutting tool based on the minimum number of experimental results. Experimental verification for the case of high-speed turning confirms the findings of the present study for cutting tools under flank wear.en_UK
dc.identifier.citationSalonitis, K., Kolios, A. (2014) Reliability assessment of cutting tool life based on surrogate approximation methods, International Journal of Advanced Manufacturing Technology, Vol. 71, Iss. 5-8. pp. 1197-1208en_UK
dc.identifier.issn0268-3768
dc.identifier.urihttp://dx.doi.org/10.1007/s00170-013-5560-2
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10484
dc.language.isoenen_UK
dc.publisherSpringer Verlagen_UK
dc.rightsAttribution-Non-Commercial-No Derivatives 3.0 Unported (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.en_UK
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/s00170-013-5560-2en_UK
dc.subjectTool wearen_UK
dc.subjectFlank wearen_UK
dc.subjectStructural reliabilityen_UK
dc.subjectApproximation methodsen_UK
dc.subjectKrigingen_UK
dc.subjectSRSMen_UK
dc.titleReliability assessment of cutting tool life based on surrogate approximation methodsen_UK
dc.typeArticleen_UK

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