A comparative study on performance of multilayer coated and uncoated carbide inserts when turning AISI D2 steel under dry environment

Sahoo, Ashok Kumar; Sahoo, Bidyadhar

doi:10.1016/j.measurement.2013.04.024

Cited by 49 publications

(18 citation statements)

References 20 publications

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“…The maximum value of flank wear (VB max ) was adopted as the machinability evaluation when machining AISI D2 steel. In comparable research work, the maximum flank wear was measured at the tool corner (VB max ) and the value 0.3 mm was adopted as criteria [2]. Here, the flank wear was measured using scanning electron microscope (SEM) micrographs as shown in Figure 3.…”

Section: Methodsmentioning

confidence: 99%

“…It is difficult to machines owing to their high carbon and high chromium content and thus machinability is poor. At the same time it is also important to know the results when using coated WC tools, mainly for economical reasons though it is otherwise machined by costly ceramic and CBN tools [2]. G. Zheng et al [3] experimented in high-speed dry turning of 300 M high strength steel with coated carbide tool is conducted.…”

Section: Introductionmentioning

confidence: 99%

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Experimentation on Tool Wear and Surface Roughness in AISI D2 Steel Turning with WC Insert

López-Luiz¹,

Jiménez²,

Hernández³

et al. 2018

MME

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The Taguchi method, based on an orthogonal arrangement (L 9 , 3 3 ), the variance analysis, the signal-to-noise ratios and the response surface methodology have been used to optimize maximum flank wear (VB max ) and surface roughness (Ra) of the cutting tool when turning a hardened steel AISI D2 (65 HRC) with PVD-TiAlN coated WC insert upon dry environment. By employing regression models; cutting speed, cutting depth and feed rate, which optimize maximum flank wear and surface roughness were validated. Results of relation signal-to-noise ratios, showed that with cutting speed of 200 m/min, cutting depth of 0.2 mm and feed rate of 0.20 mm/rev, Ra is optimized. With cutting speed of 150 m/min, cutting depth of 0.4 mm and feed rate of 0.3 mm/rev, VB max is optimized. Through the variance analysis it was concluded that the depth of cut was the main parameter that affected on the surface roughness; whereas, the feed rate was the most influential parameter on the flank wear. Confirmation test results showed that the Taguchi method was very successful in the optimization of machining parameters for minimum surface roughness and flank wear in the turning of the D2 steel.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimentation on Tool Wear and Surface Roughness in AISI D2 Steel Turning with WC Insert

López-Luiz¹,

Jiménez²,

Hernández³

et al. 2018

MME

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“…In addition, the experimental versus predicted values of R a are found to be very close to each other (Figure 3) and the correlation between them is good. 8 The maximum-residual value for R a of 0.068 was within acceptable limits, thus indicating the significance of the generated model. The residuals versus fits plot for R a is given in Figure 4 where the maximum deviation values vary between 0.07 and -0.10 for the surface roughness.…”

Section: Multiple Regression Analysis Of the Surface Roughnessmentioning

confidence: 60%

Optimization of surface roughness in finish milling of AISI P20+S plastic-mold steel

Kara¹

2018

Mater. Tehnol.

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In this study, the performance of the cutting parameters used in the finish milling of the AISI P20+S plastic-mold steel were researched and the optimum machining conditions were identified. Experiments were made according to the Taguchi L8 (4 1 × 2 3 ) orthogonal array. The evaluation of the experimental results was based on the signal/noise (S/N) ratio. Control factors for the optimum surface-roughness values were determined using the Taguchi method. Four different cutting speeds (100, 150, 200, 250) m/min, two different feed rates (0.1, 0.2) mm/r, depths of cut (0.12, 0.16) mm and cooling methods (dry and wet) were selected as the control factors. The effects of the control factors on the surface roughness were determined with an analysis of variance (ANOVA) using the experimental results. A multiple regression analysis was also conducted using the experimental results. A higher correlation coefficient (R 2 ) was obtained with a linear regression model, which showed a value of 0.923 for Ra. Finally, confirmation tests were performed and they showed that the optimization was successfully implemented. Using the Taguchi analysis, we found the optimum results for the surface roughness at a cutting speed of 150 m/min, a feed rate of 0.1 mm/r, a depth of cut of 0.16 mm and the wet cooling method. The results of the calculation and confirmation tests for the Ra were 0.288 μm and 0.296 μm. Keywords: AISI P20+S, finish milling, Taguchi method, surface roughness V {tudiji avtor raziskuje in analizira u~inek uporabljenih parametrov rezanja na kon~no mehansko obdelavo z rezkanjem jekla za brizganje plastike tip AISI P20+S. Z analizo je ugotovil tudi optimalne pogoje mehanske obdelave. Preizkuse je izvedel v skladu s Taguchijevo L8 (4 1 × 2 3 ) ortogonalno matriko. Ovrednotenje eksperimentalnih rezultatov je temeljilo na razmerju S/N (angl.: signal/noise ratio S/N) oz. primerjavi med nivojem`eljenega signala in nivojem motnje v ozadju. Avtor {tudije je izbral kontrolne faktorje, ki so mu omogo~ali pridobivanje vrednosti za optimalno povr{insko hrapavost na osnovi Taguchijeve metode. Izbral je naslednje kontrolne faktorje: {tiri razli~ne hitrosti rezanja (100, 150, 200, 250) m/min, dve razli~ni hitrosti podajanja (0,1 in 0,2) mm/obrat, dve globini reza (0,12 in 0,16) mm in dva na~ina hlajenja (suho in mokro). U~inek nivojev kontrolnih faktorjev na povr{insko hrapavost je ovrednotil z analizo variance (ANOVA) eksperimentalnih rezultatov. Izvedel je ve~stopenjsko regresijsko analizo eksperimentalnih rezultatov. Najve~ji korelacijski koeficient (R 2 ) je dobil z modelno linearno regresijo in sicer za hrapavost Ra 0,923. V zaklju~ku je izvedel potrditvene teste, ki so mu potrdili, da je optimizacija izvr{ena zadovoljivo. S Taguchijevo analizo je na{el parametre mehanske obdelave za doseganje optimalne povr{inske hrapavosti. Ti so: hitrost rezanja 150 m/min, hitrost podajanja 0,1 mm/obrat, globina reza 0,16 mm in mokro hlajenje. Rezultati izra~unov in potrditvenih testov so dali vrednosti za Ra 0,288 μm in 0,296 μm.

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“…The coated carbides are 90.5% of cost saving. [4]. The investigation on the steels are confirmed in the domain of enhancing mechanical properties using heat treatment EN24 grade of steels exhibits higher hardness, better corrosion resistance compare to en8 steel [5].…”

Section: Introductionmentioning

confidence: 68%

Investigate the Effect of Turning Parameters on Tool Wear on Various Cutting Tool Inserts Using Response Surface Methodology

Kannan¹,

Padmanabhan²,

Angerer³

2016

BIJIEMS

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The work aims to investigate the effect of turning parameter on tool wear of various cutting tool insert using response methodology. The AISI4340 steel is machined with different cutting tool insert of High Speed Steel (HSS), Carbide, and Cermet by turning process. Speed, feed, depth of cut are selected parameters. The results were encouraging to minimize the flank and crater wear and Material Removal Rate (MRR) in selected inserts. The results revealed that comparison between three inserts are in increasing trend. The carbide cutting tool insert have superior wear resistance due to high hardness.

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A comparative study on performance of multilayer coated and uncoated carbide inserts when turning AISI D2 steel under dry environment

Cited by 49 publications

References 20 publications

Experimentation on Tool Wear and Surface Roughness in AISI D2 Steel Turning with WC Insert

Experimentation on Tool Wear and Surface Roughness in AISI D2 Steel Turning with WC Insert

Optimization of surface roughness in finish milling of AISI P20+S plastic-mold steel

Investigate the Effect of Turning Parameters on Tool Wear on Various Cutting Tool Inserts Using Response Surface Methodology

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