Hard Turning with Wiper Ceramic Insert; Parametric Analysis and Optimization with Desirability Approach

Author(s):  
K.Venkata Subbaiah ◽  
◽  
Ra ju ◽  
R. S.Paw ade ◽  
Su resh
2019 ◽  
Vol 18 ◽  
pp. 445-454 ◽  
Author(s):  
K.Venkata Subbaiah ◽  
Ch. Raju ◽  
R. S.Pawade ◽  
Ch. Suresh

2019 ◽  
Vol 20 (1) ◽  
pp. 109 ◽  
Author(s):  
Hamdi Aouici ◽  
Mohamed Elbah ◽  
Asma Benkhelladi ◽  
Brahim Fnides ◽  
Lakhdar Boulanouar ◽  
...  

The hard turning process has an attracting interest in different industrial sectors for finishing operations of hard materials. However, it still presents disadvantages with respect to process capability and reliability. This paper describes a comparison of surface roughness, specific cutting force and flank wear between mixed ceramic CC650 (Al2O3 (70%) + TiC (30%)) and reinforced ceramic CC670 (Al2O3 (75%) + SiC (25%)) cutting tools when machining in dry hard turning of AISI 4140, treated at 52 HRC using the response surface methodology (RSM). A mathematical prediction model of the machining responses has been developed in terms of cutting speed, feed rate and cutting time parameters. Experimental observations show that the surface roughness obtained with the mixed ceramic insert significantly improved when compared with reinforced ceramic insert with a ratio of 1.44. In the same way, insert CC650 has better performance compared to reinforced ceramic inserts CC670, in terms of the specific cutting force and flank wear.


Author(s):  
Amritpal Singh ◽  
Rakesh Kumar

In the present study, Experimental investigation of the effects of various cutting parameters on the response parameters in the hard turning of EN36 steel under the dry cutting condition is done. The input control parameters selected for the present work was the cutting speed, feed and depth of cut. The objective of the present work is to minimize the surface roughness to obtain better surface finish and maximization of material removal rate for better productivity. The design of experiments was done with the help of Taguchi L9 orthogonal array. Analysis of variance (ANOVA) was used to find out the significance of the input parameters on the response parameters. Percentage contribution for each control parameter was calculated using ANOVA with 95 % confidence value. From results, it was observed that feed is the most significant factor for surface roughness and the depth of cut is the most significant control parameter for Material removal rate.


2001 ◽  
Author(s):  
Rania Hassan ◽  
Maher Younan ◽  
Hani Arafa ◽  
Yehia Bahei-El-Din

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