A comparative study on performance of cermet and coated carbide inserts in straight turning AISI 316L austenitic stainless steel

Touggui, Youssef; Belhadi, Salim; Uysal, Alper; Temmar, Mustapha; Yallese, Mohamed Athmane

doi:10.1007/s00170-020-06385-5

Cited by 12 publications

(8 citation statements)

References 31 publications

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“…As a result, adhesion or welding of the chips on the rake face occurs and this leads to deteriorate the sharpness of the cutting edge. Similar explanations were stated in literature [28,39]. Likewise, noticeable reductions of 4.76%, 11.90%, 45.24%, 20% and 28.57% in flank wear were also noticed under MoS2-MQL, MWCNT-MQL, graphene- MQL, hybrid-1-MQL and hybrid-2-MQL conditions, respectively as compared to pure MQL environment.…”

Section: Flank Wearsupporting

confidence: 89%

“…It is discernable that the Ra increased as increasing the feed and decreased with increasing the cutting speed. Probably, with increasing the feed, the increment in Ra is thought to be due to the generation of thick feed marks produced by the relative motion between the workpiece and the cutting tool [28]. In turning process, thicker feed marks cause more improper surface finish.…”

Section: Surface Roughnessmentioning

confidence: 99%

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Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel

Touggui

Uysal

Emiroglu

et al. 2021

Int J Adv Manuf Technol

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In recent years, the need for eco-friendly machining processes has increased dramatically in order to limit the excessive use of conventional cutting fluids, thereby reducing their negative effects on both environment and operator's health. In this context, dry cutting, minimum quantity lubrication (MQL) and nanofluid assisted MQL, as environmentally alternatives, have been positively shown their significance to overcome this problem. This experimental study was conducted from the perspective of performance analysis of machining characteristics in turning of AISI 304 austenitic stainless steel (ASS) under dry, MQL and nanofluids and hybrid nanofluids assisted MQL conditions with consideration of surface roughness (Ra), main cutting forces (Fc) and cutting temperature (T). In preparing the nanofluids, nano Molybdenum disulfide (MoS2), Multi-walled carbon nanotube (MWCNT) and nano graphene particles were added to the commercial vegetable cutting fluid as additives. Additionally, the effects of lubricating conditions on flank wear (VB) were investigated. In the end, statistical analysis, regression modeling and multi-criteria optimization based desirability function were performed. The results revealed that the Ra, Fc and T as well as VB were found to be lower with the use of nano graphene reinforced nanofluid assisted MQL followed by nano graphene/MoS2 reinforced hybrid nanofluid assisted MQL, MWCNT/MoS2 reinforced hybrid nanofluid assisted MQL, MWCNT reinforced nanofluid assisted MQL, nano MoS2 reinforced nanofluid assisted MQL and MQL, respectively, as compared to dry condition. Finally, it is worth mentioning that the nano graphene has the capability to perform as lubricant/coolant, thus contributing positively to the turning process.

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Section: Flank Wearsupporting

confidence: 89%

Section: Surface Roughnessmentioning

confidence: 99%

Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel

Touggui

Uysal

Emiroglu

et al. 2021

Int J Adv Manuf Technol

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“…The use of the fitness function is to aid in the acceptance of solutions generated by the probability function, enabling it to solve combinatorial optimization problems that are both constrained and bound-constrained. This approach is detailed in study of Touggui et al [32]. The flow chart of the (SA) method is described in Figure 7.…”

Section: Mono-objective Optimization By (Sa) and (Ga) Methodsmentioning

confidence: 99%

“…ANOVA is a powerful statistical technique that is commonly employed to ascertain the impact of cutting parameters on responses in statistical terms of significance [32]. Several statistical measures can be utilized for this purpose.…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

Comparative study of turning two engineering plastics (POM-C and PA-6) and optimisation using GA, SA, GRA and COPRAS with and without weighting (Entropie, critic, Swara, ROC)

Kaddeche

Boucherit²,

Belhadi³

et al. 2023

Preprint

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This paper focuses on a comparative study of the machinability of two semi-crystalline polymers (POM-C) and (PA-6), during dry turning operations. The aim is to experimentally examine the impact of cutting parameters, namely cutting speed, feed, and depth of cut on surface roughness, cutting force, cutting power, and material removal rate. A series of experiments according to a Taguchi L18 plan was implemented. The ANOVA analysis revealed that the type of material a substantial effect on surface roughness, followed by feed, whereas cutting force and cutting power are more affected by depth of cut. Linear regression models with interactions proved effective in predicting the studied responses, and single-objective optimization using SA and GA methods were applied to optimize each response. The GRA and COPRAS methods coupled with weighting methods CRITIC, ROC, SWARA, and Entropy are used for multi-objective optimization of the considered responses. The results showed that the combination of the COPRAS method with the SWARA method provides a better compromise, which is of crucial interest for researchers in the field of optimization in polymer material machining.

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“…It should also be underlined that for an increase in ap from 0.1 to 0.4) mm, Fz increases by 287%. Many researchers in the literature 33 indicate that ap is one of the main factors affecting cutting force Fz.…”

Section: Parametrical Testmentioning

confidence: 99%

Parametric study and multi-criteria optimization during turning of X210Cr12 steel using the desirability function and hybrid Taguchi-WASPAS method

Safi

Yallese

Belhadi

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The present study examines the machining of a cold work tool steel (X210Cr12) using a triple chemical vapor deposition coated carbide tool (Al2O3/TiC/TiCN). The paper is focused on an experimental investigation as well as a modeling and optimization of the working cutting parameters in relationship with the studied material. For that, first, a set of experimental tests were built in order to evaluate the effect of cutting parameters (r, Vc, f, and ap) on the output parameters, namely surface roughness (Ra), cutting force (Fz), insert flank wear (Vb), and 3D roughness distribution. In a second step, a Taguchi L16 (4^3 2^1) design of experiment (DoE) was exploited with the aim to develop a modeling of output working parameters based on the response surface methodology. An optimization of the cutting conditions was performed using the desirability function (DF) approach and the hybrid Taguchi-weighted aggregate sum product assessment method. The desired objective is to obtain optimal cutting regime corresponding to the simultaneous minimization of parameters Ra and Fz, and maximization of material removal rate. The results found show that the factor f influences Ra with 42.55% and that parameter ap affects parameters Fz and Pc with 67.55 and 60.88%, respectively. For the DF and WASPAS methods, the optimal regimes selected is r = 1.6 mm, Vc = 366 m/min, ap = 0.17 mm, f = 0.16 mm/rev and r = 1.6 mm, Vc = 180 m/min, ap = 0.3 mm, and f = 0.08 mm/rev, respectively. The proposed work concerns all mechanical manufacturing companies, as it provides the necessary information on the optimal working conditions of the tool/material pair.

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A comparative study on performance of cermet and coated carbide inserts in straight turning AISI 316L austenitic stainless steel

Cited by 12 publications

References 31 publications

Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel

Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel

Comparative study of turning two engineering plastics (POM-C and PA-6) and optimisation using GA, SA, GRA and COPRAS with and without weighting (Entropie, critic, Swara, ROC)

Parametric study and multi-criteria optimization during turning of X210Cr12 steel using the desirability function and hybrid Taguchi-WASPAS method

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