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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

Statistical regression modeling and machinability study of hardened AISI 52100 steel using cemented carbide insert Pages 33-44 Right click to download the paper Download PDF

Authors: Amlana Panda, Ashok Kumar Sahoo, Arun Kumar Rout

doi 10.5267/j.ijiec.2016.7.004 Crossmark

Keywords: Hard turning, Machinability, Cemented carbide, Flank wear, Surface roughness, Regression

Abstract:
The present study investigates performance and feasibility of application of low cost cemented carbide insert in dry machining of AISI 52100 steel hardened to (55 ± 1 HRC) which is rarely researched as far as machining of bearing steel is concerned. Machinability studies i.e. flank wear, surface roughness and morphology analysis of chip has been investigated and statistical regression modeling has been developed. The test has been conducted based on Taguchi L16 OA taking machining parameters like cutting speed, feed and depth of cut. It is observed that uncoated cemented carbide insert performs well at some selected runs (Run 1, 5 and 9) which show its feasibility for hard turning applications. The developed serrated saw tooth chip of burnt blue colour adversely affects the surface quality. Adequacy of the developed statistical regression model has been checked using ANOVA analysis (depending on F value, P value and R2 value) and normal probability plot at 95% confidence level. The results of optimal parametric combinations may be adopted while turning hardened AISI 52100 steel under dry environment with uncoated cemented carbide insert.
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Journal: IJIEC | Year: 2017 | Volume: 8 | Issue: 1 | Views: 2305 | Reviews: 0

 
2.

Surface roughness evaluation of various cutting materials in hard turning of AISI H11 Pages 339-352 Right click to download the paper Download PDF

Authors: H. Aouici, B. Fnides, M. Elbah, S. Benlahmidi, H. Bensouilah, M. A. Yallese

doi 10.5267/j.ijiec.2015.9.002 Crossmark

Keywords: AISI H11 steel, ANOVA, CBN, Ceramic, Hard turning, RSM

Abstract:
This paper describes a comparison of surface roughness between ceramics and cubic boron nitride (CBN7020) cutting tools when machining of AISI H11 hot work steels treated at 50 HRC. Plan is designed according to Taguchi’s L18 (21×32) orthogonal array. The response surface methodology (RSM) and analysis of variance (ANOVA) were used to check the validity of multiple linear regression models and to determine the effects, contribution, significance and optimal machine settings of process parameters, namely, cutting speed, feed rate and depth of cut on machining parameters on the Ra and Rt. The results of this research work showed that, the feed rate was found to be a dominant factor on the surface roughness, followed by the cutting speed, lastly the depth of cut. The CBN7020 cutting tool showed the better performance than that of ceramic based cutting tool. In addition, the combination of low feed rate and high cutting speed is necessary for minimizing the surface roughness.
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Journal: IJIEC | Year: 2016 | Volume: 7 | Issue: 2 | Views: 2970 | Reviews: 0

 
3.

Multi-attribute decision making parametric optimization and modeling in hard turning using ceramic insert through grey relational analysis: A case study Pages 581-592 Right click to download the paper Download PDF

Authors: Amlana Panda, Ashok Kumar Sahoo, Rout Rout

doi 10.5267/j.dsl.2016.3.001 Crossmark

Keywords: Grey relational analysis, Taguchi, Hard turning, Flank wear, Surface roughness

Abstract:
Machining of hardened work materials with appropriate levels of process parameters is still a burning issue in manufacturing sectors and challenging. It is because of pressing demand of surface quality which adversely affected by evolution of tool wear. Therefore the present investigation is undertaken to make a decision on parametric optimization of multi-responses such as flank wear and surface roughness during machining hardened AISI 52100 steel (55±1) steel using mixed ceramic insert under dry environment through grey relational analysis combined with Taguchi approach. Also predicted mathematical models of 1st and 2nd order have been developed for responses and checked for its accuracy. Second order mathematical model presented higher R2 value and represents best fit of the model and adequate compared to first order model. Model indicates good correlations between the experimental and predicted results. The proposed grey-based Taguchi methodology has been proved to be efficient for solving multi-attribute decision making problem as a case study in hard machining environment.
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Journal: DSL | Year: 2016 | Volume: 5 | Issue: 4 | Views: 5349 | Reviews: 0

 
4.

A response surface methodology and desirability approach for predictive modeling and optimization of cutting temperature in machining hardened steel Pages 407-416 Right click to download the paper Download PDF

Authors: Ashok Kumar Sahoo, Purna Chandra Mishra

doi 10.5267/j.ijiec.2014.4.002 Crossmark

Keywords: Coated carbide, Cutting temperature, Desirability approach, Hard turning, Response surface methodology

Abstract:
This paper presents an experimental investigation on cutting temperature during hard turning of EN 24 steel (50 HRC) using TiN coated carbide insert under dry environment. The prediction model is developed using response surface methodology and optimization of process parameter is performed by desirability approach. A stiff rise in cutting temperature is noticed when feed and cutting speed are elevated. The effect of depth of cut on cutting temperature is not that much significant compared with cutting speed and feed as observed from main effects plot. The response surface second order model presented high correlation coefficient (R2 = 0.992) explaining 99.2 % of the variability in the cutting temperature which indicates the goodness of fit for the model to the actual data and high statistical significance of the model. The experimental and predicted values are very close to each other. The calculated error for cutting temperature lies between 1.88-3.19 % during confirmation trial. Therefore, the developed second order model correlates the relationship of the cutting temperature with the process parameters with good degree of approximation. The optimal combination for process parameter is depth of cut at 0.2mm, feed of 0.1597 mm/rev and cutting speed of 70m/min. Based on these combination, the value of cutting temperature is 302.950C whose desirability is one.
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Journal: IJIEC | Year: 2014 | Volume: 5 | Issue: 3 | Views: 2994 | Reviews: 0

 
5.

Application of response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert Pages 469-478 Right click to download the paper Download PDF

Authors: Ashok Kumar Sahoo, Kashfull Orra, Bharat Chandra Routra

doi 10.5267/j.ijiec.2013.07.001 Crossmark

Keywords: ANOVA, Flank wear, Hard turning, Response surface methodology

Abstract:
The paper presents the development of flank wear model in turning hardened EN 24 steel with PVD TiN coated mixed ceramic insert under dry environment. The paper also investigates the effect of process parameter on flank wear (VBc). The experiments have been conducted using three level full factorial design techniques. The machinability model has been developed in terms of cutting speed (v), feed (f) and machining time (t) as input variable using response surface methodology. The adequacy of model has been checked using correlation coefficients. As the determination coefficient, R2 (98%) is higher for the model developed; the better is the response model fits the actual data. In addition, residuals of the normal probability plot lie reasonably close to a straight line showing that the terms mentioned in the model are statistically significant. The predicted flank wear has been found to lie close to the experimental value. This indicates that the developed model can be effectively used to predict the flank wear in the hard turning. Abrasion and diffusion has been found to be the dominant wear mechanism in machining hardened steel from SEM micrographs at highest parametric range. Machining time has been found to be the most significant parameter on flank wear followed by cutting speed and feed as observed from main effect plot and ANOVA study.
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Journal: IJIEC | Year: 2013 | Volume: 4 | Issue: 4 | Views: 3227 | Reviews: 0

 
6.

Experimental investigation on flank wear and tool life, cost analysis and mathematical model in turning hardened steel using coated carbide inserts Pages 571-578 Right click to download the paper Download PDF

Authors: Ashok Kumar Sahoo, Bidyadhar Sahoo

doi 10.5267/j.ijiec.2013.05.003 Crossmark

Keywords: ANOVA, Coated carbide, Flank wear, Hard turning, Regression, Tool life

Abstract:
Turning hardened component with PCBN and ceramic inserts have been extensively used recently and replaces traditional grinding operation. The use of inexpensive multilayer coated carbide insert in hard turning is lacking and hence there is a need to investigate the potential and applicability of such tools in turning hardened steels. An attempt has been made in this paper to have a study on turning hardened AISI 4340 steel (47 ± 1 HRC) using coated carbide inserts (TiN/TiCN/Al2O3/ZrCN) under dry environment. The aim is to assess the tool life of inserts and evolution of flank wear with successive machining time. From experimental investigations, the gradual growth of flank wear for multilayer coated insert indicates steady machining without any premature tool failure by chipping or fracturing. Abrasion is found to be the dominant wear mechanisms in hard turning. Tool life of multilayer coated carbide inserts has been found to be 31 minute and machining cost per part is Rs.3.64 only under parametric conditions chosen i.e. v = 90 m/min, f = 0.05 mm/rev and d = 0.5 mm. The mathematical model shows high determination coefficient, R2 (99%) and fits the actual data well. The predicted flank wear has been found to lie very close to the experimental value at 95% confidence level. This shows the potential and effectiveness of multilayer coated carbide insert used in hard turning applications.
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Journal: IJIEC | Year: 2013 | Volume: 4 | Issue: 4 | Views: 3562 | Reviews: 0

 

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