Hard Turning of AISI D2 Steel by Polycrystalline Cubic Boron Nitride (PCBN)

The machining of hard turning is performed on hardened steel in the range of 45 to 68 Rockwell hardness using a variety of tool materials such as Polycrystalline cubic boron nitride (PCBN) , Polycrystalline diamond (PCD) and Cubic boron nitride (CBN). It is an alternative to conventional grinding process is a flexible and effective machining process for hardened metals and hence broadly used in various applications such as dies, moulds, tools, gears, cams, shafts, axles, bearings and forgings. Although the process is performed within small depth of cut and feed rates, estimates to reduce machining time as high as 60 % in hard turning. This paper discusses the importance of hard turning of AISI D2 steel. In this study, Experimental investigations are carried out on conventional lathe using prefixed the cutting conditions. The responses studied in the investigation are cutting forces (Fa, Ft and Fz). The cutting parameters considered for the investigation are cutting speed, feed and depth of cut. The influence of machining parameters on response is studied and presented in detail.

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DEVELOPMENT OF SURFACE ROUGHNESS PREDICTION MODEL FOR HARD TURNING ON AISI D2 STEEL USING CUBIC BORON NITRIDE INSERT

Jurnal Teknologi ◽

10.11113/jt.v80.10492 ◽

2017 ◽

Vol 80 (1) ◽

Author(s):

Amrifan Saladin Mohruni ◽

Muhammad Yanis ◽

Edwin Kurniawan

Keyword(s):

Surface Roughness ◽

Boron Nitride ◽

Feed Rate ◽

Hard Turning ◽

Cubic Boron Nitride ◽

Cutting Speed ◽

Machining Parameters ◽

Aisi D2 Steel ◽

Aisi D2 ◽

D2 Steel

Hard turning is an alternative to traditional grinding in the manufacturing industry for hardened ferrous alloy material above 45 HRC. Hard turning has advantages such as lower equipment cost, shorter setup time, fewer process steps, greater part geometry flexibility and elimination of cutting fluid. In this study, the effect of cutting speed and feed rate on surface roughness in hard turning was experimentally investigated. AISI D2 steel workpiece (62 HRC) was machined with Cubic Boron Nitride (CBN) insert under dry machining. A 2k-factorial design with 4 centre points as an initial design of experiment (DOE) and a central composite design (CCD) as augmented design were used in developing the empirical mathematical models. They were employed for analysing the significant machining parameters. The results show that the surface roughness value decreased (smoother) with increasing cutting speed. In contrary, surface roughness value increased significantly when the feed rate increased. Optimum cutting speed and feed rate condition in this experiment was 105 m/min and 0.10 mm/rev respectively with surface roughness value was 0.267 µm. Further investigation revealed that the second order model is a valid surface roughness model, while the linear model cannot be used as a predicted model due to its lack of fit significance.

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Experimental Investigation and Surface Roughness analysis on Hard Turning of AISI D2 Steel using Polycrystalline Cubic Boron Nitride (PCBN)

Materials Today Proceedings ◽

10.1016/j.matpr.2019.05.196 ◽

2019 ◽

Vol 16 ◽

pp. 1061-1066

Author(s):

A. Srithar ◽

K. Palanikumar ◽

B. Durgaprasad

Keyword(s):

Surface Roughness ◽

Experimental Investigation ◽

Boron Nitride ◽

Hard Turning ◽

Cubic Boron Nitride ◽

Aisi D2 Steel ◽

Polycrystalline Cubic Boron Nitride ◽

Roughness Analysis ◽

Aisi D2 ◽

D2 Steel

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Optimization on Cryogenic Co2 Machining Parameters of AISI D2 Steel using Taguchi Based Grey Relational Approach and TOPSIS

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.12.16556 ◽

2018 ◽

Vol 7 (3.12) ◽

pp. 885 ◽

Cited By ~ 1

Author(s):

V Balaji ◽

S Ravi ◽

P Naveen Chandran

Keyword(s):

Performance Measures ◽

Process Parameters ◽

Depth Of Cut ◽

Machining Parameters ◽

Influence Of Process Parameters ◽

Aisi D2 Steel ◽

Aisi D2 ◽

Grey Relational ◽

Coated Carbide ◽

D2 Steel

The Machinability, and the process parameter optimization of Cryogenic CO2 machining operation for AISI D2 steel have been investigated based on the Taguchi based grey approach and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).In this examination work, the measure of the work materials utilized was AISI D2 Steel of size is 150mm × 50 mm × 50m with SANDWIK influence CVD To TiN coated carbide cutting insert tool device embed was utilized. The time taken for machining is 5 min and profundity of cut were kept up steady with various lower cutting velocities, and diverse encourage rate. An L27 orthogonal array was selected for planning the experiment. Cutting speed, depth of cut and feed rate were considered as input process parameters. Cutting force (Fz) and surface roughness (Ra) were considered as the performance measures. These performance measures were optimized for the improvement of machinability, quality of product. A comparison is made between the multi-criteria decision making tools. Grey Relational Analysis (GRA) and TOPSIS are used to confirm and prove the similarity. To determine the influence of process parameters, Analysis of Variance (ANOVA) is employed. The end results of experimental investigation proved that the machining performance can be enhanced effectively with the assistance of the proposed approaches.

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Experimental Investigation and Analysis on Hard Turning of AISI D2 Steel Using Coated Carbide Insert

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.984-985.154 ◽

2014 ◽

Vol 984-985 ◽

pp. 154-158 ◽

Cited By ~ 1

Author(s):

A. Srithar ◽

K. Palanikumar ◽

B. Durgaprasad

Keyword(s):

Feed Rate ◽

Hard Turning ◽

Cutting Conditions ◽

Machining Process ◽

Depth Of Cut ◽

Machining Parameters ◽

Study Results ◽

Aisi D2 ◽

Coated Carbide ◽

Carbide Insert

Hard turning is one of the important operations for hardened steels and it has more benefits than grinding such as cycle time, process flexibility, and better surface finish at significantly better material removal rate and lesser environment issues. Although the machining process is performed with low feed rate and depths of cut, it results lesser machining time as compared with conventional turning. This paper discusses the machining performance tests on the AISI D2 hardened steel to 64 HRC were carried out using chemical vapor deposition ( cvd) coated carbide insert. Experiments are carried out on lathe using the cutting conditions prefixed. The responses studied in the investigation are cutting forces (fx, fy, and fz) and. The cutting parameters considered for the investigation are feed rate, depth of cut and cutting speed. The performance of machining parameters on response is studied and presented in detail. In chip morphology study results different formation and types of chips operating under various cutting conditions.

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Sustainable machining. Modeling and optimization of temperature and surface roughness in the milling of AISI D2 steel

Industrial Lubrication and Tribology ◽

10.1108/ilt-11-2017-0322 ◽

2019 ◽

Vol 71 (2) ◽

pp. 267-277 ◽

Cited By ~ 14

Author(s):

Aqib Mashood Khan ◽

Muhammad Jamil ◽

Ahsan Ul Haq ◽

Salman Hussain ◽

Longhui Meng ◽

...

Keyword(s):

Surface Roughness ◽

Process Parameters ◽

Empirical Modeling ◽

Cutting Fluid ◽

Depth Of Cut ◽

Aisi D2 Steel ◽

Content Type ◽

Sustainable Machining ◽

Aisi D2 ◽

D2 Steel

Purpose Sustainable machining is a global consensus and the necessity to cope up the serious environmental threats. Minimum quantity lubrication (MQL) and nanofluids-based MQL(NFMQL) are state-of-the-art sustainable lubrication modes. The purpose of this study is to investigate the effect of process parameters, such as feed rate, depth of cut and cutting fluid flow rate, on temperature and surface roughness of the manufactured pieces during face milling of the AISI D2 steel. Design/methodology/approach A statistical technique called response surface methodology with Box–Behnken Design was used to design experimental runs, and empirical modeling was presented. Analysis of variance was carried out to evaluate the model’s accuracy and the validation of the applied technique. Findings A comprehensive analysis revealed the superiority of implementing NFMQL in comparison to MQL within the levels of process parameters. The comparison has shown a significant reduction of temperature under NFMQL at the tool-workpiece interface from 16.2 to 34.5 per cent and surface roughness from 11.3 to 12 per cent. Practical implications This research is useful for practitioners to predict the responses in workshop and select appropriate cutting parameters. Moreover, this research will be helpful to reduce the resource which will ultimately save energy consumption and cost. Originality/value To cope with the industrial challenges and tribological issues associated with the milling of AISI D2 steel, experiments were conducted in a distinct machining mode with innovative cooling/lubrication. Until now, few studies have addressed the key lubrication effects of Al2O3-based nanofluid on the machinability of D2 steel under NFMQL lubrication condition.

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