Experimental Investigations of Process Parameters Influence on Surface Roughness in Turning of EN-353 Alloy Steel under Different Machining Environments

2018 ◽  
Vol 5 (2) ◽  
pp. 4192-4200 ◽  
Author(s):  
A. Venkata Vishnu ◽  
M. Venkata Ramana ◽  
K.B.G. Tilak
Keyword(s):  
Surface Roughness ◽  
Alloy Steel ◽  
Process Parameters ◽  
Experimental Investigations

An experimental study on surface roughness and frictional property of ultrasonic-vibration-assisted milled surface

2019 ◽  
Vol 233 (12) ◽  
pp. 4187-4198 ◽  
Author(s):  
Girish C Verma ◽  
Pulak M Pandey ◽  
Uday S Dixit
Keyword(s):  
Surface Roughness ◽  
Ultrasonic Vibration ◽  
Process Parameters ◽  
Milling Process ◽  
Experimental Investigations ◽  
Bottom Surface ◽  
Frictional Property ◽  
Ultrasonic Power ◽  
Machined Surface ◽  
Consequent Reduction

Ultrasonic-vibration-assisted milling is a variant of conventional milling process. In this study, experimental investigations were carried out to evaluate the effect of process parameters on the average surface roughness of machined surface (of Al6063 alloy). The results were evaluated to understand the effect of process parameters and are explained using the physics of the process. The effect of ultrasonic amplitude on frictional and wettability property of machined bottom surface was also evaluated. With the increase in power of ultrasonic vibration, the surface roughness increased; however, the friction of lubricated machined surface decreased while sliding on a mild steel surface. With the increase in ultrasonic power, the wettability of the surface increased resulting in a better lubrication and consequent reduction of friction.

Multi-objective optimization of wire electrical discharge machining of 20MnCr5 alloy steel

2020 ◽  
Vol 17 (3) ◽  
pp. 325-333
Author(s):  
Naresh Kumar ◽  
Khushdeep Goyal
Keyword(s):  
Surface Roughness ◽  
Alloy Steel ◽  
Process Parameters ◽  
Electric Discharge ◽  
Research Work ◽  
Machining Process ◽  
Content Type ◽  
Taguchi’S Technique ◽  
Pulse Off Time ◽  
Off Time

Purpose Wire electric discharge machining (WEDM) is a non-conventional machining process, which is used to provide difficult and intricate shapes. The purpose of this research work is to apply Taguchi’s technique to optimize the process parameters in WEDM. Alloy steel 20MnCr5 has been selected as base material for experimentation. The effects of the input process parameters such as wire type, pulse-on time, pulse-off time, peak current, wire feed rate and servo voltage have been calculated on the material removal rate (MRR) and surface roughness (Ra) in WEDM operation. Design/methodology/approach In the research work, Taguchi's technique is applied to optimize the process parameters in WEDM. Findings ANOVA indicated that pulse-off time was the most significant factor for the MRR, and servo voltage was the most significant factor for surface roughness (SR). As a part of the project, 20MnCr5 was machined in wire electric discharge machine, and the optimal control parameters were found to get higher MRR and better SR using Taguchi’s technique. Originality/value To the best of authors’ knowledge, after reviewing the literature, materials including alloys of metals such as 16MnCr5 and 20MnCr5 have not been investigated so far, and research regarding machining of these materials is limited. Therefore, 20MnCr5 material has been selected for this research work to generate WEDM data.

scholarly journals Multi-Objective Optimization of Process Parameters to Enhance Efficiency in the Shoe-Type Centerless Grinding Operation for Internal Raceway of Ball Bearings

Metals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 893
Author(s):  
Nguyen Anh Tuan
Keyword(s):  
Surface Roughness ◽  
Alloy Steel ◽  
Process Parameters ◽  
Machining Process ◽  
Multi Objective Optimization ◽  
The Real ◽  
Multi Objective ◽  
Fine Grinding ◽  
Centerless Grinding ◽  
The Impact

In this article, new research on the multi-objective optimization of the process parameters applied to enhance the efficiency in the shoe-type centerless grinding operation for the inner ring raceway of the ball bearing made from SUJ2 alloy steel is presented. The four important input parameters for this process, which included the normal feed rate of fine grinding (Snf), the speed of the workpiece (Vw), the cutting depth of fine grinding (af), and the number of ground parts (Np), were investigated. The aim of the study was to find the most appropriate value set of process parameters in order to, simultaneously minimize the grindstone wear (Gw), maximize the material removal rate (MRR) and the total number of ground parts in a grinding cycle (N’p), while guaranteeing other technology requirements such as surface roughness Ra ≤ 0.5 (µm), oval level Op ≤ 3 (µm), etc. In order to solve the problem, based on the experimental data, in which the grindstone wear was measured online by a measuring system consisting of two pneumatic probes, the optimization of the target functions of Gw, N’p, and MRR and mathematical models that express the dependencies of outcome parameters Gw, Ra, Op, MRR, etc. on the process parameters were determined. Therefore, a global optimal solution of such a discrete and nonlinear multi-objective optimization problem was solved by using a genetic algorithm, presenting the most appropriate process parameters as follows: Snf = 15.38 (µm/s), Vw = 6.00 (m/min), af = 11.76 (µm), and Np = 20 (parts/cycle). In addition, the impact of the four process parameters (Snf, Vw, af, Np) on the wear of the grinding wheel (Gw), the oval level of parts (Op), and the surface roughness of parts (Ra) was evaluated. The discovered technology mode has been applied to the real machining process for the inner ring raceway of the 6208_ball bearing made from SUJ2 alloy steel, and the outcome showed a much better result in comparison with default setting modes, while still ensuring the technology requirements. The difference between the predicted values and the real values of the parameters Gw, Ra, Op, and MRR were controlled within 5% of the ranges.

scholarly journals On the Relevance of Volumetric Energy Density in the Investigation of Inconel 718 Laser Powder Bed Fusion

Materials ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 538 ◽  
Author(s):  
Fabrizia Caiazzo ◽  
Vittorio Alfieri ◽  
Giuseppe Casalino
Keyword(s):  
Surface Roughness ◽  
Energy Density ◽  
Process Parameters ◽  
Vickers Hardness ◽  
Powder Bed Fusion ◽  
Processing Conditions ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
Fractional Density ◽  
Experimental Variation

Laser powder bed fusion (LPBF) can fabricate products with tailored mechanical and surface properties. In fact, surface texture, roughness, pore size, the resulting fractional density, and microhardness highly depend on the processing conditions, which are very difficult to deal with. Therefore, this paper aims at investigating the relevance of the volumetric energy density (VED) that is a concise index of some governing factors with a potential operational use. This paper proves the fact that the observed experimental variation in the surface roughness, number and size of pores, the fractional density, and Vickers hardness can be explained in terms of VED that can help the investigator in dealing with several process parameters at once.

Sign in / Sign up

Export Citation Format

Share Document