Analysis of Hard Machining of Titanium Alloy by Taguchi Method

Kumar, S.M. Ravi; Kulkarni, Suneel Kumar N

doi:10.1016/j.matpr.2017.08.020

Cited by 35 publications

(19 citation statements)

References 2 publications

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“…Rajaparthiban et al [16], used artificial neural network (ANN) to surface roughness modelling by varying process parameters the results showed a higher relationship between measured surface roughness and predicted metal removal rate (MRR) using different process parameters. Regards to the effect of tool geometries on measured surface roughness Kumar et al [7] reported that nose radius has a significant effect on surface roughness. Jagadesh et al [17] increases at values of feed rates and depths of cut lower than cutting edge radius of tool.…”

Section: ________________________________________________mentioning

confidence: 99%

“…As the high quality of components surface is the main objective in aerospace industry, surface integrity is an important factor to study for high reliability levels [5][6]. Surface roughness is an important parameter for measuring surface integrity as it has a direct relationship with the service life of parts [7][8]. Therefore, many studies have been conducted on investigating surface roughness and its correlation with machining conditions when turning Ti6Al4V [9][10].…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation of generated surface roughness in hard turning of Ti6Al4V using coated ceramic and CBN inserts

Abdelnasser

Barakat

Elsanabary

et al. 2020

Port-Said Engineering Research Journal

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Surface finish of machined parts is a significant quality mark for a range of applications such as aerospace, automotive, power transmission and generation. Therefore, optimization of surface roughness is the key factor for reliability in machining difficult-to-cut materials such as titanium-based alloys. In this study, an investigation into hard turning of Ti6Al4V alloys with varying process parameters and cutting tool materials was carried out. This study aims to compare the generated surface roughness when turning Ti6Al4V alloys using CBN and coated ceramic inserts, independently, under the same values of feed rate, cutting speed and depth of cut. The experiments were designed using Taguchi L9 and the exponential results were examined by the analysis of variance (ANOVA). The effect of process parameters and their interactions on generated surface roughness was evaluated for the two inserts. It was found improvement of surface roughness by 34% was achieved when using coated ceramic insert compared with the results obtained using CBN insert under the same range cutting conditions. CBN insert gave a better result at smallest depth of cut (0.15 mm), low feed rate (0.1 mm/rev) and high cutting speed (100 m/min) while coated ceramic tool gave a minimum surface roughness at depth of cut (0.2 mm), feed rate (0.1 mm/rev) and high cutting speed (100 m/min).

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Section: ________________________________________________mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental investigation of generated surface roughness in hard turning of Ti6Al4V using coated ceramic and CBN inserts

Abdelnasser

Barakat

Elsanabary

et al. 2020

Port-Said Engineering Research Journal

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“…Nowadays, titanium and its alloys are widely used in various areas, such as the aerospace, medical and automotive industries, due to their excellent properties (e.g., high strength-to-weight ratio and good corrosion resistance, relatively low density, high-temperature properties, excellent creep, biocompatibility) [1]. Vanadium, molybdenum, manganese and aluminum are often alloying elements and provide high strength [2].…”

Section: Introductionmentioning

confidence: 99%

Research and Method of Roughness Prediction of a Curvilinear Surface after Titanium Alloy Turning

2019

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This paper deals with the optimization of process parameters (such as cutting speed and feed rate) to minimize surface roughness in the turning of a titanium alloy (Ti-6Al-4V) workpiece with spherical shape. In the first part of the article, based on the results analysis, a mathematical model is developed. It is shown that cutting speed has little effect on the surface roughness. The second part of the paper presents the application of the developed method to optimize cutting data such as feed rate in order to obtain the surface roughness parameters Ra and Rz of the curvilinear surface of the titanium alloy workpiece at acceptable and aligned, values regardless of the surface shape and its tilted angle. A case study verifies the correctness of the proposed method. The machining time was substantially shortened in comparison to the non-optimized cutting process.

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“…Extensive research has been carried out on the superplastic deformation of titanium alloys, although there are insufficient available data related to the investigation of the deformation temperature (T d ) and strain rate ( . ε) effects on the flow behavior of titanium alloys at elevated temperatures using the analysis of variance technique, for example, the Taguchi method [32][33][34][35][36][37]. Babu et al [38] studied the effect of T d and .…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of the Effect of Temperature and Strain Rate on the Superplastic Deformation Behavior of Ti-Based Alloys in the (α+β) Temperature Field

Mosleh

Mikhaylovskaya

Котов

et al. 2018

Metals

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This paper presents the effect of temperature and strain rate on the superplastic deformation behavior of Ti-3%Mo-1%V-4%Al, Ti-4%V-6%Al, and Ti-1.8%Mn-2.5%Al alloys, which have different initial microstructures. The microstructure, before and after superplastic deformation in the deformation regimes that provided the maximum elongation, was analyzed. The deformation regimes, corresponding to the minimum strain hardening/softening effect, provided a higher elongation to failure due to their low tendency toward dynamic grain growth. As the values of stress became steady (σs), the elongation to failure and strain-hardening coefficient were analyzed under various temperature–strain rate deformation regimes. The analysis of variance of these values was performed to determine the most influential control parameter. The results showed that the strain rate was a more significant parameter than the temperature, with respect to the σs, for the investigated alloys. The most influential parameter, with both the elongation to failure and strain-hardening coefficient, was the temperature of the Ti-3%Mo-1%V-4%Al and Ti-1.8%Mn-2.5%Al alloys and the strain rate of the Ti-4%V-6%Al alloy.

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Analysis of Hard Machining of Titanium Alloy by Taguchi Method

Cited by 35 publications

References 2 publications

Experimental investigation of generated surface roughness in hard turning of Ti6Al4V using coated ceramic and CBN inserts

Experimental investigation of generated surface roughness in hard turning of Ti6Al4V using coated ceramic and CBN inserts

Research and Method of Roughness Prediction of a Curvilinear Surface after Titanium Alloy Turning

Experimental Investigation of the Effect of Temperature and Strain Rate on the Superplastic Deformation Behavior of Ti-Based Alloys in the (α+β) Temperature Field

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