Novel Approaches to the Design of an Ultra-Fast Magnetorheological Valve for Semi-Active Control

This article presents a list of suitable techniques and materials leading to the design of an ultra-fast magnetorheological (MR) valve. Two approaches for achieving the short response time are proposed: (a) by means of material, and (b) by means of the shape. Within the shape approach, the revolutionary technique of 3D metal printing using a selective laser melting (SLM) method was tested. The suitability of the materials and techniques is addressed based on the length of the response time, which is determined by the FEM. The simulation results determine the response time of the magnetic flux density on the step signal of the current. Subsequently, the response time is verified by the measurement of the simple magnetorheological valve. The following materials were tested: martensitic stainless steel AISI 420A (X20Cr13), cutting steel 11SMn30, pure iron for SLM, Sintex SMC STX prototyping material, ferrite N87, and Vacoflux 50. A special technique involving grooves was used for preventing eddy currents on materials with a high electrical conductivity. The simulation and experimental results indicate that a response time shorter than 2.5 ms can be achieved using materials such as Sintex SMC prototyping, ferrite N87, and grooved variants of metal pistons.

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Investigations on the microstructure and mechanical properties of dissimilar welds of inconel 718 and sulphur rich martensitic stainless steel, AISI 416

Journal of Manufacturing Processes ◽

10.1016/j.jmapro.2018.03.035 ◽

2018 ◽

Vol 32 ◽

pp. 685-698 ◽

Cited By ~ 22

Author(s):

Sidharth Dev ◽

K. Devendranath Ramkumar ◽

N. Arivazhagan ◽

R. Rajendran

Keyword(s):

Mechanical Properties ◽

Stainless Steel ◽

Inconel 718 ◽

Martensitic Stainless Steel ◽

Microstructure And Mechanical Properties ◽

Dissimilar Welds ◽

Steel Aisi ◽

Stainless Steel Aisi

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

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406218820557 ◽

2019 ◽

Vol 233 (13) ◽

pp. 4439-4462 ◽

Cited By ~ 14

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.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.845.765 ◽

2013 ◽

Vol 845 ◽

pp. 765-769 ◽

Cited By ~ 1

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.

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