2011
DOI: 10.1016/j.measurement.2011.07.022
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Optimization of flank wear using Zirconia Toughened Alumina (ZTA) cutting tool: Taguchi method and Regression analysis

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Cited by 199 publications
(94 citation statements)
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“…21 The verification experiment was conducted at the optimum levels of the variables determined as seen in Figure 5. A 3 -B 1 -C 3 and their values from this figure were employed to calculate the estimated optimum surface roughness.…”
Section: Determining the Optimum Surface Roughnessmentioning
confidence: 99%
“…21 The verification experiment was conducted at the optimum levels of the variables determined as seen in Figure 5. A 3 -B 1 -C 3 and their values from this figure were employed to calculate the estimated optimum surface roughness.…”
Section: Determining the Optimum Surface Roughnessmentioning
confidence: 99%
“…Asilturk and Akkus [12] also studied on dry turning during machining of AISI 4140 steel with coated carbide tool and claimed that surface finish highly influenced by feed rate. Mandal et al [13] found that the depth of cut has maximum effect on the tool wear during turning of the AISI 4340 steel with zirconium-alumina tool. The effects of lubricant with other turning parameters were investigated by Abhang and Hameeddullah [14] during machining of steel with tungsten carbide tool.…”
Section: A Research In Turning Of Ferrous Metas and Their Alloysmentioning
confidence: 99%
“…From many literatures, Cutting speed is observed to be the most significant parameter that affects the flank wear and Feed rate affects dominantly the surface roughness [10]. The various cutting fluid flow conditions and cutting parameters on surface roughness and tool flank wear indicates the application of cutting fluid (13.7%) shows the substantial contribution, while the feed rate provides the minimum contribution to tool wear [9,11].…”
Section: Introductionmentioning
confidence: 99%