2017
DOI: 10.2507/daaam.scibook.2017.19
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Review on Optimization Techniques used for Determining Machining Conditions to get Effective Tool Life and Surface Finish

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Cited by 4 publications
(3 citation statements)
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References 16 publications
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“…Reducing costs is a priority objective of any industrial company. [3], [4] Students will learn the real consequences of cutting speed on the wear of the cutting insert. They will also master the basics of the Keyence VHX-6000 microscope.…”
Section: Short-term Cutting Testmentioning
confidence: 99%
“…Reducing costs is a priority objective of any industrial company. [3], [4] Students will learn the real consequences of cutting speed on the wear of the cutting insert. They will also master the basics of the Keyence VHX-6000 microscope.…”
Section: Short-term Cutting Testmentioning
confidence: 99%
“…Later an analysis of variance (ANOVA) was conducted for these results to find significant main factor or interactions at a confidence level of 95% (Montgomery, 2012). The regression models based on the response surface can provide a good fit for variables in manufacturing environments (Simunovic et al, 2013) and it is an optimisation technique identified by Kumar (2017); in order to know the precision of the fit, the coefficients R 2 (coefficient of determination) and R 2 -adj (adjusted coefficient of determination) are calculated. Higher values of theses coefficients indicate an acceptable fit (Montgomery, 2012).…”
Section: Statistical Proceduresmentioning
confidence: 99%
“…The academic literature shows that the surface quality affect to efficiency and sustainability because can determine the number of operations required; for this reason the roughness is a very studied variable, in particular its predictions through of the knowledge of some variables as chip size (Zuperl & Cus, 2015) or the influence of cutting parameters on different operations as milling (Qehaja et al, 2016) or drilling [Domingo et al, 2013). The tool life affects to surface quality (Kumar, 2017), therefore it is other element to consider, and moreover affect clearly to sustainability due to the material wear and to the machining time due to tool change; it is clear that to higher tool wear, the change time will higher.…”
Section: Introductionmentioning
confidence: 99%