Investigating Machinability in Hard Turning of AISI 52100 Bearing Steel Through Performance Measurement: QR, ANN and GRA Study

Panda, Amlana; Sahoo, Ashok Kumar; Panigrahi, Isham; Rout, Arun Kumar

doi:10.15282/ijame.15.1.2018.5.0384

Cited by 31 publications

(12 citation statements)

References 36 publications

(40 reference statements)

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“…In the present work, Taguchi based grey relational analysis approach is implemented to evaluate parametric optimization of multi responses as referred [6,15,24,[27][28][29]. Taguchi L16 is selected for conducting the turning runs and the results are reported in Table 2.…”

Section: Multi-response Optimizationmentioning

confidence: 99%

Investigation on Tool Wear and Surface Characteristics in Hard Turning Under Air-Water Jet Spray Impingement Cooling Environment

Kumar¹,

Sahoo²,

Mishra³

et al. 2019

Tribol. Ind.

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Low cost machining puts tremendous pressure on the research in machining hardened steel compared to traditional grinding. As environmental regulations are strict enough on application of cutting fluids, a novel method called spray impingement cooling (SIC) assisted hard turning has been studied. The current work explores the distinguish wear modes, surface characteristics, chip-tool interface temperature and chip morphology in turning of AISI D2 steel by coated carbide tools (TiN/TiCN/Al 2 O 3 /TiN). The results revealed the favorable chip tool interaction during machining in context to surface roughness, surface topology, flank wear, chip morphology, chip reduction coefficient and tool life. In the SIC, evaporation occurred due to atomization of water jet and sufficient to generate significant cooling as maximum temperature has been found as 200.6 0 C. Modes of wear like abrasion, chipping and catastrophic breakage are noticed at tool-tip in hard turning. The optimal settings of parameters are founds as ap1-fn1-vc2 i.e. depth of cut-0.1 mm; feed-0.04 mm/rev; cutting speed-108 m/min. At these parametric conditions, the measured tool life is found as 20.3 minutes.

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Section: Multi-response Optimizationmentioning

confidence: 99%

Investigation on Tool Wear and Surface Characteristics in Hard Turning Under Air-Water Jet Spray Impingement Cooling Environment

Kumar¹,

Sahoo²,

Mishra³

et al. 2019

Tribol. Ind.

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“…Chip thickness, t, was estimated using a digital calliper and further chip reduction coefficient, ζ, was estimated by Eq. (2) [35][36].…”

Section: Methodsmentioning

confidence: 99%

Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning

Pandey

Kumar

Sahoo

et al. 2020

IJAME

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The current research presents an overall performance-based analysis of Trihexyltetradecylphosphonium Chloride [[CH3(CH2)5]P(Cl)(CH2)13CH3] ionic fluid mixed with organic coconut oil (OCO) during turning of hardened D2 steel. The application of cutting fluid on the cutting interface was performed through Minimum Quantity Lubrication (MQL) approach keeping an eye on the detrimental consequences of conventional flood cooling. PVD coated (TiN/TiCN/TiN) cermet tool was employed in the current experimental work. Taguchi’s L9 orthogonal array and TOPSIS are executed to analysis the influences, significance and optimum parameter settings for predefined process parameters. The prime objective of the current work is to analyze the influence of OCO based Trihexyltetradecylphosphonium Chloride ionic fluid on flank wear, surface roughness, material removal rate, and chip morphology. Better quality of finish (Ra = 0.2 to 1.82 µm) was found with 1% weight fraction but it is not sufficient to control the wear growth. Abrasion, chipping, groove wear, and catastrophic tool tip breakage are recognized as foremost tool failure mechanisms. The significance of responses have been studied with the help of probability plots, main effect plots, contour plots, and surface plots and the correlation between the input and output parameters have been analyzed using regression model. Feed rate and depth of cut are equally influenced (48.98%) the surface finish while cutting speed attributed the strongest influence (90.1%). The material removal rate is strongly prejudiced by cutting speed (69.39 %) followed by feed rate (28.94%) whereas chip reduction coefficient is strongly influenced through the depth of cut (63.4%) succeeded by feed (28.8%). TOPSIS significantly optimized the responses with 67.1 % gain in closeness coefficient.

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“…While conducting the multi-objective response experiments, the effect and interrelationship of various different process factors are usually complicated and unclear owing to the lack of certain information. Hence, in such circumstances, grey relational analysis is introduced and conducted to develop correlation between the process performance characteristics [17]. For instance, a grey relational rank is established for examining the complex point of uncertainty between the multi-objective response.…”

Section: Investigation Of Grey Relational Analysismentioning

confidence: 99%

Multi performance optimization in machining of EN31-535A99SS with interchangeable straight cemented tungsten carbide-cobalt mixed (WC–Co) insert grade (CSTC—K20) using Taguchi coupled grey relational analysis

Hussain

2020

SN Appl. Sci.

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EN31-535A99 SS is an advanced and high carbon chromium-molybdenum alloy steel offering a high degree of compressive strength and abrasion resistance. Best suitable for machined components subjected to abrasive wear, swaging dies, press tools, roller bearings which do not merit a more complex quality. However, its machining is one of the challenging fields in the metal cutting industries due to the high hardness which results in low productivity and high manufacturing cost. In this paper a new interchangeable two phases straight cemented tungsten carbide-cobalt mixed (WC-Co) insert grade (CSTC-K20) tool has been introduced to obtain the optimal turning parameters for the multi-performance characteristics in the turning process by Taguchi coupled grey relational analysis. The flank wear (V bc) and surface finish (R a) were considered as the performance characteristics while the cutting speed (V), feed rate (F) and depth of cut (D) as the controllable process parameters. Experiments were planned as per Taguchi L16 orthogonal array taking three process parameters at four levels. The results revealed that the optimal parametric settings for multi-response becomes cutting speed of 75 m/min, feed rate of 0.05 mm/tooth and depth of cut as 0.25 mm respectively. At this stage the surface roughness (Ra) reduced from 0.132 to 0.061 µm while tool flank wear (VBc) reduced from 0.89 to 0.69 mm and the grey relational grade enhanced up to 0.2867. The polynomial regression model presented higher R 2 value as compared to linear regression model. It is recommended that metal cutting industries could use these optimum approaches to reduce the material waste, manufacturing cost and increase productivity while machining of EN31-535A99 SS.

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Investigating Machinability in Hard Turning of AISI 52100 Bearing Steel Through Performance Measurement: QR, ANN and GRA Study

Cited by 31 publications

References 36 publications

Investigation on Tool Wear and Surface Characteristics in Hard Turning Under Air-Water Jet Spray Impingement Cooling Environment

Investigation on Tool Wear and Surface Characteristics in Hard Turning Under Air-Water Jet Spray Impingement Cooling Environment

Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning

Multi performance optimization in machining of EN31-535A99SS with interchangeable straight cemented tungsten carbide-cobalt mixed (WC–Co) insert grade (CSTC—K20) using Taguchi coupled grey relational analysis

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