Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25

Sarıkaya, Murat; Güllü, Abdulkadir

doi:10.1016/j.jclepro.2014.12.020

Cited by 310 publications

(116 citation statements)

References 28 publications

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“…In the literature, it is pointed out that surface roughness is affected negatively by an increase in feed rate and in order to obtain the better surface quality, the feed rate is reduced usually in machining proceses. 6,8,13 In present work, a similar result was detected when the surface roughness decreased with the increasing of feed rate.…”

Section: Analysis Of the Experimental Resultssupporting

confidence: 86%

“…An improvement in the surface quality was observed with the increasing cutting speed because the increasing temperature during the cutting process made the plastic deformation and the chip flow easier. 6,18 Further, it is thought that because of a reduction in built-up edge (BUE) and built-up layer (BUL) formations, tool wear was affected positively, and so this situation gives rise to an improvement in the surface quality. 6 During a manufacturing process, physical and chemical properties of the coolants allow a reduction in thermal/mechanical-based damages.…”

Section: Analysis Of the Experimental Resultsmentioning

confidence: 99%

“…4 However, the use of mineral-or syntactic-based cutting fluids has led to certain problems like health risks and environmental pollution. 5,6 In order to eliminate all the cutting fluids from the metal-cutting process, cryogenic cooling or high-pressure cooling with compressed air can be applied to protect the health and the environment.…”

Section: Introductionmentioning

confidence: 99%

“…6 A low surface roughness obtained from machining experiments contributes to some properties of workpiece including fatigue strength, corrosion and wear resistance, friction, etc. 6,7 Surface roughness is affected by many parameters such as machined material, depth of cut, cutting-tool material, cutting speed, tool-nose radius, feed rate, coating type and cooling/lubrication conditions. Modern industry aims at producing high-quality parts, reducing the costs in a short time.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions

Sarıkaya¹

2015

Mater. Tehnol.

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This paper presents the optimization of the surface roughness using the Taguchi technique to assess the machinability of the AISI 316Ti steel with PVD coated carbide inserts under different cooling conditions such as dry, conventional (wet) and cryogenic cooling with liquid nitrogen (LN2). Based on the Taguchi L9 (3 3 ) orthogonal-array design, the machinability tests were made utilizing a CNC lathe machine. Test parameters including the cutting speed, the cooling condition and the feed rate were taken and then the surface roughness (Ra) was measured to obtain the machinability indicator. An analysis of variance was performed to determine the importance of the input parameters for the surface roughness. The process parameters were optimized by taking the Taguchi technique into consideration. The Taguchi signal-to-noise ratio was employed with the smaller-the-better approach to obtain the best combination. On the basis of the first-order model, a mathematical model was created using the regression analysis to predict the Ra model. The results indicate that the feed rate is the parameter with the highest effect on the surface roughness and that the other parameters also have a statistical significance. In addition, cryogenic cooling is an alternative method for increasing the surface quality of machined parts. Keywords: AISI 316Ti, cryogenic cooling, machinability, optimization, surface roughness, Taguchi method lanek obravnava optimiranje hrapavosti povr{ine z uporabo Taguchi-jeve metode za oceno obdelovalnosti jekla AISI 316Ti s karbidnimi vlo`ki s PVD-nanosom v razli~nih razmerah ohlajanja, kot je suho, navadno (mokro) in kriogensko hlajenje s teko~im du{ikom (LN2). Preizkusi obdelovalnosti so bili izvr{eni s CNC-stru`nico na osnovi Taguchi-jevega ortogonalnega niza L9 (3 3 ). Izbrani so bili parametri preizkusov, hitrost rezanja, razmere pri ohlajanju in hitrost podajanja, nato pa je bila izmerjena hrapavost povr{ine (Ra) kot pokazatelj obdelovalnosti. Izvr{ene so bile analize variance, da bi ugotovili pomembnost vhodnih parametrov na hrapavost povr{ine. Procesni parametri so bili optimirani z upo{tevanjem Taguchi-jeve tehnike. Uporabljeno je bilo Taguchi-jevo razmerje signal -hrup s pribli`kom~im manj{e tem bolj{e za doseganje najbolj{e kombinacije. Na osnovi modela prvega reda je bil postavljen z uporabo regresijske analize matemati~ni model za napovedovanje Ra. Rezultati ka`ejo, da je hitrost podajanja parameter z najve~jim u~inkom na hrapavost povr{ine, vsi drugi parametri imajo statisti~no zna~ilnost. Dodatno je kriogensko ohlajanje alternativna metoda za pove~anje kvalitete povr{ine stru`enih delov.

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Section: Analysis Of the Experimental Resultssupporting

confidence: 86%

Section: Analysis Of the Experimental Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions

Sarıkaya¹

2015

Mater. Tehnol.

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“…In industries where accuracy and measurement integrity are important, ways to improve the surface quality and lower the costs of lathed components have become perpetual subjects of investigation. 7 Furthermore, surface roughness plays a significant role in the development and specification of the surface qualities of the produced components. When the surface-roughness value falls within the desired limits, it directly affects the material, energy and labor costs.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the machining parameters for the turning of 15-5 PH stainless steels using the Taguchi method

Çetin¹,

Kıvak²

2017

Mater. Tehnol.

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The present study investigated the effects of the control factors of cutting speed, feed rate and depth of cut on the response variables of cutting force (Fc) and surface roughness (Ra) in the dry turning of 15-5 PH martensitic stainless steel. Using PVD TiAlN-AlCrO-and CVD TiCN-Al2O3-TiN-coated carbide-cutting-tool inserts, a number of turning experiments were conducted via the L18 (2 1 ×3 3 ) Taguchi mixed orthogonal array. The machining parameters were optimized using signal-to-noise ratio (S/N) and analysis of variance (ANOVA). Additionally, empirical models were created for predicting the Fc and Ra using multiple-regression analysis. The results indicated that depth of cut was the most significant cutting parameter affecting Fc, while the feed rate contributed the most to Ra. The developed quadratic regression model, showing a high determination coefficient of 0.981 for Fc and 0.988 for Ra, accurately explained the relationship between the response variable and the control factors. Keywords: Taguchi method, turning, cutting force, surface roughness, 15-5 PH steel [tudija prou~uje vplive kontrolnih faktorjev kot so: hitrost rezanja, hitrost podajanja in globina rezanja na spremenljivki odziva: silo rezanja (Fc) in hrapavost povr{ine (Ra) pri suhem stru`enju martenzitnega nerjavnega jekla 15-5 PH. Z uporabo PVD TiAlN-AlCrO-in CVD TiCN-Al2O3-TiN-nanosov na karbidnih vlo`kih za rezanje, so bili izvedeni {tevilni preizkusi stru`enja s pomo~jo me{ane L18 (2 1 ×3 3 ) Taguchi ortogonalne matrike. Parametri obdelave so bili optimirani z uporabo razmerja signala {uma (S/N) in analizo variance (ANOVA). Dodatno so bili postavljeni empiri~ni modeli za napovedovanje Fc in Ra z uporabo razli~nih regresijskih analiz. Rezultati so pokazali, da je globina reza najpomembnej{i parameter rezanja, ki vpliva na Fc, medtem ko hitrost podajanja najve~prispeva k Ra. Razviti kvadratni regresijski model, ki ka`e dolo~en visok koeficient 0,981 za Fc in 0,988 za Ra, natan~no pojasni razmerje med spremenljivko odziva in kontrolnimi faktorji.

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Optimal coordination method of opportunistic array radars for multi‐target‐tracking‐based radio frequency stealth in clutter

Zhang

Salous

et al. 2015

Radio Science

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(2015) 'Optimal coordination method of opportunistic array radars for multi-target-tracking-based radio frequency stealth in clutter.', Radio science., 50 (11). 1187-1196 . Further information on publisher's website: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract Opportunistic array radar is a new radar system that can improve the modern radar performance effectively. In order to improve its radio frequency stealth ability, a novel coordination method of opportunistic array radars in the network for target tracking in clutter is presented. First, the database of radar cross section for targets is built, then the signal-to-noise ratio for netted radars is computed according to the radar cross section and range of target. Then the joint probabilistic data association algorithm of tracking is improved with consideration of emitted power of the opportunistic array radar, which has a main impact on detection probability for tracking in clutter. Finally, with the help of grey relational grade and covariance control, the opportunistic array radar with the minimum radiated power will be selected for better radio frequency stealth performance. Simulation results show that the proposed algorithm not only has excellent tracking accuracy in clutter but also saves much more radiated power comparing with other methods.

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Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25

Cited by 310 publications

References 28 publications

Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions

Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions

Optimization of the machining parameters for the turning of 15-5 PH stainless steels using the Taguchi method

Optimal coordination method of opportunistic array radars for multi‐target‐tracking‐based radio frequency stealth in clutter

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