scholarly journals Influence of CO2on the corrosion behaviour of 13Cr martensitic stainless steel AISI 420 and low-alloyed steel AISI 4140 exposed to saline aquifer water environment

2009 ◽  
Author(s):  
A. Pfennig ◽  
A. Kranzmann
Keyword(s):  
Stainless Steel ◽  
Martensitic Stainless Steel ◽  
Corrosion Behaviour ◽  
Water Environment ◽  
Alloyed Steel ◽  
Saline Aquifer ◽  
Aisi 4140 ◽  
Steel Aisi ◽  
Low Alloyed Steel ◽  
Stainless Steel Aisi

Prediction of machining performance using RSM and ANN models in hard turning of martensitic stainless steel AISI 420

2019 ◽  
Vol 233 (13) ◽  
pp. 4439-4462 ◽  
Author(s):  
Abderrahmen Zerti ◽  
Mohamed Athmane Yallese ◽  
Oussama Zerti ◽  
Mourad Nouioua ◽  
Riad Khettabi
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Artificial Neural Network ◽  
Stainless Steel ◽  
Response Surface Methodology ◽  
Martensitic Stainless Steel ◽  
Machining Parameters ◽  
Steel Aisi ◽  
Artificial Neural ◽  
Stainless Steel Aisi

The purpose of this experimental work is to study the impact of the machining parameters ( Vc, ap, and f) on the surface roughness criteria ( Ra, Rz, and Rt) as well as on the cutting force components ( Fx, Fy, and Fz), during dry turning of martensitic stainless steel (AISI 420) treated at 59 hardness Rockwell cone. The machining tests were carried out using the coated mixed ceramic cutting-insert (CC6050) according to the Taguchi design (L25). Analysis of the variance (ANOVA) as well as Pareto graphs made it possible to quantify the contributions of ( Vc, ap, and f) on the output parameters. The response surface methodology and the artificial neural networks approach were used for output modeling. Finally, the optimization of the machining parameters was performed using desirability function (DF) minimizing the surface roughness and the cutting forces simultaneously. The results indicated that the roughness is strongly affected by the feed rate ( f) with contributions of (80.71%, 80.26%, and 81.80%) for ( Ra, Rz, and Rt) respectively, and that the depth of cut ( ap) is the factor having the major influence on the cutting forces ( Fx = 53.76%, Fy = 50.79%, and Fz = 65.31%). Furthermore, artificial neural network and response surface methodology models correlate very well with experimental data. However, artificial neural network models show better accuracy. The optimum machining setting for multi-objective optimization is Vc = 80 m/min, f = 0.08 mm/rev and ap = 0.141 mm.

Comparative Analysis on Wiper and Standard Tools in Dry Finish Turning of Martensitic Stainless Steel AISI 420

2013 ◽  
Vol 845 ◽  
pp. 765-769 ◽  
Author(s):  
Guilherme Cortelini Rosa ◽  
André J. Souza ◽  
Flávio J. Lorini
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Residual Stresses ◽  
Martensitic Stainless Steel ◽  
Cutting Parameters ◽  
Machining Process ◽  
Finish Turning ◽  
Aisi 420 ◽  
Steel Aisi ◽  
Stainless Steel Aisi

Machining performance consists to associate the optimal process and cutting parameters and maximum material removal rate with the most appropriate tool while controlling the machined surface state. This work verifies the influence of standard and wiper cutting tools on generated surface roughness and residual stress in dry finish turning operation of the martensitic stainless steel AISI 420 in a comparative way. Tests are conducted for different combinations of tool nose geometry, feed rate and depth of cut being analyzed through the Design of Experiments regarding to surface roughness parametersRaandRt. Moreover, the formation of residual stresses in the material (using the technique of X-Ray Diffraction) was evaluated after the machining process for these two cutting geometries and thereafter the result was compared between them. An ANOVA is performed to clarify the influence of cutting parameters on generated surface roughness, which outputs inform that cutting tool geometry is the most influent onRaandRt. It is concluded that analyzed wiper inserts present low performance for low feed rates. Regarding the analysis of the residual stresses it can be stated that for standard and wiper tools the values collected show that for finish turning the compression stresses were found. It can be observed that the greatest amount of compressive stress has been found for the standard tool.

A study of martensitic stainless steel AISI 420 modified using plasma nitriding

2002 ◽  
Vol 150 (2-3) ◽  
pp. 263-268 ◽  
Author(s):  
I Alphonsa ◽  
A Chainani ◽  
P.M Raole ◽  
B Ganguli ◽  
P.I John
Keyword(s):  
Stainless Steel ◽  
Martensitic Stainless Steel ◽  
Plasma Nitriding ◽  
Aisi 420 ◽  
Steel Aisi ◽  
Stainless Steel Aisi

Study of the effect of sigma phase precipitation on the sliding wear and corrosion behaviour of duplex stainless steel AISI 2205

Wear ◽  
2018 ◽  
Vol 400-401 ◽  
pp. 43-51 ◽  
Author(s):  
J.L. del Abra-Arzola ◽  
M.A. García-Rentería ◽  
V.L. Cruz-Hernández ◽  
J. García-Guerra ◽  
V.H. Martínez-Landeros ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Duplex Stainless Steel ◽  
Sliding Wear ◽  
Sigma Phase ◽  
Corrosion Behaviour ◽  
Phase Precipitation ◽  
Wear And Corrosion ◽  
Steel Aisi ◽  
Stainless Steel Aisi
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