scholarly journals Optimization of dry turning parameters on surface roughness and hardness of Austenitic Stainless steel (AISI316) by Taguchi Technique

2015 ◽  
Vol 2 (2) ◽  
pp. 30-41 ◽  
Author(s):  
Rajendrakumar V. Kadi ◽  
◽  
Suresh T. Dundur ◽  
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Taguchi Technique ◽  
Dry Turning

Surface Roughness Prediction During Dry Turning of Austenitic Stainless Steel AISI 304

2015 ◽  
Vol 808 ◽  
pp. 54-59 ◽  
Author(s):  
Ioan Alexandru Popan ◽  
Nicolae Bâlc ◽  
Alina Popan ◽  
Domniţa Fraţilă ◽  
Adrian Trif
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Cutting Speed ◽  
Processing Parameters ◽  
Aisi 304 ◽  
Dry Turning ◽  
Roughness Prediction ◽  
Steel Aisi ◽  
Stainless Steel Aisi

The objective of this paper is to predict and analyze the surface roughness during dry turning of austenitic stainless steel AISI 304. In this study a new carbide insert developed by Mitsubishi was used for the cutting of this material. By using the ANOVA method, the influence of the main processing parameters on the surface quality was analyzed. By using a mathematical regression method a mathematical model was developed. It can calculate the surface roughness taking into account the cutting speed, the feed rate and the depth of cutting.

Effect of radial depth on vibration and surface roughness during face milling of austenitic stainless steel

2011 ◽  
Vol 17 (5) ◽  
pp. 336-339 ◽  
Author(s):  
Yang Shen ◽  
Yongjie Chen ◽  
Li Zhang ◽  
Haitao Fang ◽  
Jia Pang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Face Milling ◽  
Radial Depth

Damage Assessment on Low Cycle Fatigue Properties of Cyclic Pre-Strained Austenitic Stainless Steel

2011 ◽  
Author(s):  
Nao Fujimura ◽  
Hiroyuki Oguma ◽  
Takashi Nakamura
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Fatigue Damage ◽  
Low Cycle Fatigue ◽  
Strain Ratio ◽  
Fatigue Properties ◽  
Cycle Fatigue ◽  
Damage Law ◽  
Number Of Cycles

The effects of cyclic pre-strain on low cycle fatigue properties of austenitic stainless steel were investigated, and the fatigue damage was assessed based on several parameters such as the full width at half maximum (FWHM) of diffracted X-ray profile and surface roughness of specimens. The strain-controlled tests were conducted under strain ratio Rε = −1 and various constant total strain ranges. Also the change in remnant fatigue lives were investigated when the cyclic pre-strain were applied to the specimens under the different number of cycles which were determined with reference to the usage factor UFpre ranged from 0.2 to 0.8. As a result, the remnant fatigue life of the pre-strained samples became shorter than that of the sample without pre-strain as the UFpre increased. The relationship between the pre-strain damage expressed in UFpre and the remnant fatigue damage in UFpost was roughly described by the cumulative linear damage law: UFpre + UFpost = 1. Namely, the cyclic pre-strain affected the remnant fatigue lives. In order to evaluate the effects of cyclic pre-strain on fatigue lives more precisely, the damage in the cyclic pre-straining processes was estimated by using FWHM and surface roughness. The FWHM of the specimens with pre-strain once decreased with increase in UFpre, and then increased after showing a minimum value. The surface roughness of specimens increased linearly with an increase of the number of pre-straining cycles. These results suggested that the damage due to pre-strain can be assessed by means of FWHM and surface roughness of specimens.

scholarly journals Tool Wear, Surface Topography, and Multi-Objective Optimization of Cutting Parameters during Machining AISI 304 Austenitic Stainless Steel Flange

Metals ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 972 ◽  
Author(s):  
Xiaojun Li ◽  
Zhanqiang Liu ◽  
Xiaoliang Liang
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Tool Wear ◽  
Surface Defects ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Aisi 304 ◽  
304 Austenitic Stainless Steel ◽  
Optimization Of Cutting Parameters

The application of AISI 304 austenitic stainless steel in various industrial fields has been greatly increased, but poor machinability classifies AISI 304 as a difficult-to-cut material. This study investigated the tool wear, surface topography, and optimization of cutting parameters during the machining of an AISI 304 flange component. The machining features of the AISI 304 flange included both cylindrical and end-face surfaces. Experimental results indicated that an increased cutting speed or feed aggravated tool wear and affected the machined surface roughness and surface defects simultaneously. The generation and distribution of surface defects was random. Tearing surface was the major defect in cylinder turning, while side flow was more severe in face turning. The response surface method (RSM) was applied to explore the influence of cutting parameters (e.g., cutting speed, feed, and depth of cut) on surface roughness, material removal rate (MRR), and specific cutting energy (SCE). The quadratic model of each response variable was proposed by analyzing the experimental data. The optimization of the cutting parameters was performed with a surface roughness less than the required value, the maximum MRR, and the minimum SCE as the objective. It was found that the desirable cutting parameters were v = 120 m/min, f = 0.18 mm/rev, and ap = 0.42 mm for the AISI 304 flange to be machined.

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