scholarly journals EXPERIMENTAL PREDICTION AND OPTIMIZATION OF MATERIAL REMOVAL RATE DURING HARD TURNING OF AUSTENITIC 304L STAINLESS STEEL

2016 ◽  
Vol 36 (2) ◽  
pp. 34 ◽  
Author(s):  
S. J. Ojolo ◽  
A. A. Adjaottor ◽  
R. S. Olatunji
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.


2021 ◽  
Vol 13 (2) ◽  
pp. 55-62
Author(s):  
Saswat Khatai ◽  
◽  
Ramanuj Kumar ◽  
Ashok Kumar Sahoo ◽  
◽  
...  

In recent years, machining of hard-to-cut metals by hard turning process is an embryonic technology for machining industry and research development. Hard turning is generally defined as the material removal process of hardened steel having hardness greater than 45 HRC.  The current research presents a comparative hard turning investigation on EN 31 (56 ± 1 HRC) grade steel using physical vapor deposition (PVD) coated carbide tool under dry and wet cooling. The selection of a better cooling strategy among dry and wet cooling was based on the value of obtained surface roughness (Ra) and material removal rate (MRR) in hard turning. Wet cooling exhibited better performance over dry cutting as lower Ra and greater MRR are achieved with wet cooling. Further, considering Taguchi L16 orthogonal array, hard turning experiments were executed in wet cooling and responses like surface roughness (Ra), material removal rate (MRR), and diameter error were studied. Further, the Grey-fuzzy hybrid optimization tool was employed and found improved results relative to the alone grey relational analysis as about 9 % less Ra and 2.612 times more MRR is noticed at the grey fuzzy optimal set of parameters.


2014 ◽  
Vol 1027 ◽  
pp. 167-170 ◽  
Author(s):  
Jian Xiu Su ◽  
Jia Peng Chen ◽  
Hai Feng Cheng ◽  
Song Zhan Fan

In chemical mechanical polishing (CMP) of ultra-thin stainless steel, the oxidant of polishing slurry determines the material removal rate (MRR). In this paper, the influences of oxidant in slurry on MRR and surface roughness have been studied in CMP of ultra-thin 304 stainless steel based on alumina (Al2O3) abrasive. The research results show that, in the same conditions, the MRR increases with the increase of the oxidant C and the oxidant B, the MRR decreases with the increase of the oxidant A and the MRR is max with the oxidant C. It indicated that the oxidant C has a large effect on MRR in CMP of the 304 stainless steel. The research results can provide the reference for studying the slurry in CMP of ultra-thin stainless steel.


2010 ◽  
Vol 135 ◽  
pp. 365-369
Author(s):  
Cong Rong Zhu ◽  
Bing Hai Lv ◽  
Ju Long Yuan

To improve the machining efficiency as well as surface roughness, a series of experiments employed fixed abrasive tools are carried out for stainless steel substrate, and influences of properties of fixed abrasive tool on the lapping process are studied. It is found that the resin is the best bonding material in this study. The surface roughness under different concentration of bonding material is similar, and the material removal rate (MRR) increases as the concentration of bonding material decreases from 50% to 20%. But too little of bonding material results into low bond strength that causing low material removal rate. It is also found that higher shear strength, lower wear rate, and the shear strength of the tool with 35% bonding material is the highest. It is obvious that the surface roughness and material removal rate decline as the grit size decreases. The roughness of surface lapped with resin bonded 4000# SiC abrasive tool comes to 18nm, and the material removal rate is 0.63μm/min.


2021 ◽  
Author(s):  
Jennifer llanto ◽  
Majid Tolouei-Rad ◽  
Ana Vafadar ◽  
Muhammad Aamir

Abstract Austenitic stainless steel 304L (AISI304L), of varied thickness, is widely used in the fabrication industry and in many cases, it requires contour machining for achieving intricate profiles. Abrasive water jet machine is a proficient alternative for machining difficult-to-cut, reflective, conductive, and heat-sensitive materials such as austenitic stainless steel with complex geometries. However, due to differences in machining responses for varied material conditions, the abrasive waterjet machine experiences challenges such as kerf geometric inaccuracy and low material removal rate. In this study, an abrasive waterjet machine is employed to perform contour cutting of different profiles to investigate the impacts of traverse speed and material thickness in achieving a lower kerf taper angle and higher material removal rate. Experimental results show that all profiles encountered a similar trend of obtaining higher kerf taper angle and material removal rate as traverse speed increased. Analysis of variance revealed that material thickness denotes a more significant impact to kerf taper angle and material removal rate with a contribution within the range of 69%-91% and 62-69% respectively; whereas traverse speed indicates the least contributing factor within the range of 5%-18% in kerf taper angle and 27%-36% for material removal rate.


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