scholarly journals Finite element simulation and regression modeling of machining attributes on turning AISI 304 stainless steel

2021 ◽  
Vol 8 ◽  
pp. 24
Author(s):  
A. Mathivanan ◽  
M.P. Sudeshkumar ◽  
R. Ramadoss ◽  
Chakaravarthy Ezilarasan ◽  
Ganesamoorthy Raju ◽  
...  
Keyword(s):  
Finite Element ◽  
Stainless Steel ◽  
Cutting Force ◽  
Cutting Speed ◽  
304 Stainless Steel ◽  
Computational Time ◽  
Depth Of Cut ◽  
Aisi 304 Stainless Steel ◽  
Machining Processes ◽  
Aisi 304

To-date, the usage of finite element analysis (FEA) in the area of machining operations has demonstrated to be efficient to investigate the machining processes. The simulated results have been used by tool makers and researchers to optimize the process parameters. As a 3D simulation normally would require more computational time, 2D simulations have been popular choices. In the present article, a Finite Element Model (FEM) using DEFORM 3D is presented, which was used to predict the cutting force, temperature at the insert edge, effective stress during turning of AISI 304 stainless steel. The simulated results were compared with the experimental results. The shear friction factor of 0.6 was found to be best, with strong agreement between the simulated and experimental values. As the cutting speed increased from 125 m/min to 200 m/min, a maximum value of 750 MPa stress as well as a temperature generation of 650 °C at the insert edge have been observed at rather higher feed rate and perhaps a mid level of depth of cut. Furthermore, the Response Surface Methodology (RSM) model is developed to predict the cutting force and temperature at the insert edge.

Multi-response optimization in environment friendly turning of AISI 304 austenitic stainless steel

2019 ◽  
Vol 15 (3) ◽  
pp. 538-558 ◽  
Author(s):  
Talwinder Singh ◽  
J.S. Dureja ◽  
Manu Dogra ◽  
Manpreet S. Bhatti
Keyword(s):  
Stainless Steel ◽  
Flank Wear ◽  
Cutting Speed ◽  
304 Stainless Steel ◽  
Depth Of Cut ◽  
Aisi 304 Stainless Steel ◽  
Environment Friendly ◽  
Aisi 304 ◽  
Tool Flank Wear ◽  
Content Type

Purpose The purpose of this paper is to investigate the influence of turning parameters such as cutting speed, feed rate and depth of cut on tool flank wear and machined surface quality of AISI 304 stainless steel during environment friendly turning under nanofluid minimum quantity lubrication (NMQL) conditions using PVD-coated carbide cutting inserts. Design/methodology/approach Turning experiments are conducted as per the central composite rotatable design under the response surface methodology. ANOVA and regression analysis are employed to examine significant cutting parameters and develop mathematical models for VB (tool flank wear) and Ra (surface roughness). Multi-response desirability optimization approach is used to investigate optimum turning parameters for simultaneously minimizing VB and Ra. Findings Optimal input turning parameters are observed as follows: cutting speed: 168.06 m/min., feed rate: 0.06 mm/rev. and depth of cut: 0.25 mm with predicted optimal output response factors: VB: 106.864 µm and Ra: 0.571 µm at the 0.753 desirability level. ANOVA test reveals depth of cut and cutting speed-feed rate interaction as statistically significant factors influencing tool flank wear, whereas cutting speed is a dominating factor affecting surface roughness. Confirmation tests show 5.70 and 3.71 percent error between predicted and experimental examined values of VB and Ra, respectively. Research limitations/implications AISI 304 is a highly consumed grade of stainless steel in aerospace components, chemical equipment, nuclear industry, pressure vessels, food processing equipment, paper industry, etc. However, AISI 304 stainless steel is considered as a difficult-to-cut material because of its high strength, rapid work hardening and low heat conductivity. This leads to lesser tool life and poor surface finish. Consequently, the optimization of machining parameters is necessary to minimize tool wear and surface roughness. The results obtained in this research can be used as turning database for the above-mentioned industries for attaining a better machined surface quality and tool performance under environment friendly machining conditions. Practical implications Turning of AISI 304 stainless steel under NMQL conditions results in environment friendly machining process by maintaining a dry, healthy, clean and pollution free working area. Originality/value Machining of AISI 304 stainless steel under vegetable oil-based NMQL conditions has not been investigated previously.

Influence of Laser Parameters on Residual Stress Field of AISI 304 Stainless Steel Induced by Laser Peening: A Finite Element Analysis

2006 ◽  
Author(s):  
Xiang Ling ◽  
Weiwei Peng
Keyword(s):  
Residual Stress ◽  
Finite Element ◽  
Stainless Steel ◽  
Stress Field ◽  
Stress Corrosion ◽  
Compressive Stress ◽  
304 Stainless Steel ◽  
Laser Peening ◽  
Aisi 304 Stainless Steel ◽  
Aisi 304

The present paper established a non-linear elastic-plastic finite element method to predict the residual compressive stress distribution induced by Laser Peening (LP) in the AISI 304 stainless steel. The two dimensional FEA model considered the dynamic material properties at high strain rate (106/s) and the evaluation of loading conditions. Effects of laser power density, laser spot size, laser pulse duration, multiple LP processes and one/two-sided peening on the compressive stress field in the stainless steel were evaluated for the purpose of optimizing the process. Numerical results have a good agreement with the measurement values by X-ray diffraction method and also show that the magnitude of compressive stress induced by laser peening is greater than the tensile welding residual stress. So, laser peening is an effective method for protecting weldments against stress corrosion crack. The above results provide the basis for studying the mechanism on prevention of stress corrosion cracking in weld joint of type 304 stainless steel by laser peening.

Optimization of flank wear and surface roughness during turning of AISI 304 stainless steel using the Taguchi method

2020 ◽  
Vol 62 (9) ◽  
pp. 957-961
Author(s):  
Nursel Altan Özbek ◽  
Metin İbrahim Karadag ◽  
Onur Özbek
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Taguchi Method ◽  
Feed Rate ◽  
Flank Wear ◽  
Signal To Noise Ratio ◽  
Cutting Speed ◽  
304 Stainless Steel ◽  
Aisi 304 Stainless Steel ◽  
Aisi 304

Abstract This paper presents the effect of cutting tool, cutting speed and feed rate on the flank wear and surface roughness of austenitic stainless steel (AISI 304) during wet turning. Turning tests were designed based on the Taguchi method (L18). An orthogonal array, the signal-to-noise ratio (S/N) and the ANOVA were used to investigate the machinability of AISI 304 stainless steel with PVD and CVD coated tungsten carbide inserts. As a result of ANOVA, it was found that the feed rate was the most effective parameter on both flank wear and surface roughness.

Magnetic Damping in Turning of Stainless Steel AISI 304 for the Reduction of Machining Vibration and Tool Wear

2015 ◽  
Vol 1115 ◽  
pp. 100-103
Author(s):  
A.K.M. Nurul Amin ◽  
Muammer Din Arif ◽  
Siti Aminatuzzuhriyah B. Haji Subir ◽  
Fawaz Mohsen Abdullah
Keyword(s):  
Stainless Steel ◽  
Tool Wear ◽  
Flank Wear ◽  
Cutting Speed ◽  
304 Stainless Steel ◽  
Depth Of Cut ◽  
Machining Performance ◽  
Aisi 304 ◽  
Excited Vibration ◽  
Coated Carbide

Chatter is a type of intensive self-excited vibration commonly encountered in machining. It reduces productivity and precision, and is more noticeable in the machining of difficult-to-cut alloys like hardened steel. In such cases chatter causes excessive tool wear, especially flank wear, which in turn affects the stability of the cutting edge leading to premature tool failure, poor surface finish, and unsatisfactory machining performance. Nowadays, however, the demand is for fine finish, high accuracy, and low operation costs. Therefore, any technique which significantly reduces chatter is profitable for the industry. This paper demonstrates the viability and effectiveness of a novel chatter control strategy in the turning of (AISI 304) stainless steel by using permanent bar magnets. Reduction in chatter and corresponding tool flank wear are compared from results for both undamped and magnetically damped turning using coated carbide inserts. Special fixtures and keyway were made from mild steel in order to affix the magnets on the lathe’s carriage. The two ferrite magnets (1500 Gauss each) were placed below and beside the tool shank for damping from Z and X directions, respectively. Response surface methodology (RSM) was used to design the experimental runs in terms of the three primary cutting parameters: cutting speed, feed, and depth of cut. A Kistler 50g accelerometer measured the vibrations. The data was subsequently processed using DasyLab (version 6) software. The tool wear was measured using scanning electron microscope (SEM). Results indicate that this damping setup can reduce vibration amplitude by 47.36% and tool wear by 63.85%, on average. Thus, this technique is a simple and economical way of lowering vibration and tool wear in the turning of stainless steel.

Optimization and Prediction of Cutting Force and Surface Roughness in End Milling Process of AISI 304 Stainless Steel

2015 ◽  
Vol 813-814 ◽  
pp. 362-367 ◽  
Author(s):  
Darshan A. Patel ◽  
Jitendra M. Mistry ◽  
Vrushit P. Kapatel ◽  
Dhaval R. Joshi
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Feed Rate ◽  
End Milling ◽  
Milling Process ◽  
304 Stainless Steel ◽  
Depth Of Cut ◽  
Aisi 304 Stainless Steel ◽  
Aisi 304 ◽  
End Milling Process

The end milling process is most commonly used where the large amount material can be removed to produce almost final shape of component. The present work deals with the experimental study and optimization the machining parameter of AISI 304 stainless steel. The effects of spindle speed, feed rate and depth of cut have been studied on the cutting force and surface roughness using Taguchi’s 27 orthogonal arrays. Regression analyses were used to develop the model of response parameters. The analysis of the result shows, the surface roughness and the cutting force is increased with feed rate and depth of cut but decreased with increased the cutting speed. The ANOVA indicate the feed rate was the most dominate parameter on surface roughness and cutting force than speed and depth of cut.

scholarly journals Optimization of Cutting Force of AISI 304 Austenitic Stainless Steel in a Wet Turning Process

2019 ◽  
Vol 8 (12) ◽  
pp. 4709-4711
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Cutting Force ◽  
Research Work ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Significant Variable ◽  
Turning Process ◽  
Aisi 304 ◽  
304 Austenitic Stainless Steel

The objective of this research work is to optimize the machining variables of AISI 304 austenitic stainless steel during wet turning operation. The input parameters considered are depth, feed and cutting speed. The output response considered is cutting force. Taguchi technique is used to find the optimum machining conditions for cutting force. ANOVA is used to determine the effect of input variables on the cutting force. ANOVA results indicated that the most significant variable affecting the cutting force during the wet turning process is depth of cut.

scholarly journals Influence of cutting speed on dry machinability of AISI 304 stainless steel

2020 ◽  
Author(s):  
Surjeet Singh Bedi ◽  
Sarthak Prasad Sahoo ◽  
Bikkina Vikas ◽  
Saurav Datta
Keyword(s):  
Stainless Steel ◽  
Cutting Speed ◽  
304 Stainless Steel ◽  
Aisi 304 Stainless Steel ◽  
Aisi 304
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