scholarly journals Improving Surface Roughness of Burnished Components using Abrasive Particles

2018 ◽  
Vol 15 (3) ◽  
pp. 5592-5606
Author(s):  
Pavana Kumara ◽  
G. K. Purohit
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Silicon Carbide ◽  
Process Parameters ◽  
Machined Surface ◽  
Abrasive Particles ◽  
Burnishing Process ◽  
Number Of Passes ◽  
The Mathematical Model ◽  
Full Factorial

Roller burnishing process was carried out on free cutting brass materials in the presence of fine silicon carbide abrasives in the form of paste on a pre-machined surface. The results of ‘without-paste’ burnishing (plain burnishing, PB) and ‘with-paste’ burnishing (abrasive assisted burnishing, AAB) processes are compared to examine the effect of abrasive particles in the burnishing process. A 24 full factorial design is adopted to develop the mathematical model for surface roughness regarding four process parameters like burnishing force, burnishing speed, burnishing feed and number of passes for both the cases, i.e. PB and AAB. Analysis of variance (ANOVA) was carried out to find the effect of process parameters and to check the adequacy of the models. The results show that the parameters have a significant effect on the response in PB to improve the surface roughness by 75 % than the turned components. Whereas in AAB, fine abrasive particles as a single entity controlling the response and making other parameter effects as non-significant. Surface roughness further improved by 15 % in AAB process.

An Investigation into Surface Roughness of Burnished Hypereutectic Al-Si Alloy Based on the Taguchi Techniques

2004 ◽  
Vol 471-472 ◽  
pp. 790-794 ◽  
Author(s):  
Li Fa Han ◽  
Wei Xia ◽  
Yuan Yuan Li ◽  
Wei Ping Chen
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Optimum Process ◽  
Light Weight ◽  
Resistant Material ◽  
Influence Of Process Parameters ◽  
Small Surface ◽  
Burnishing Process

This paper presents an investigation on the surface roughness of burnished hypereutectic Al-Si alloy ¾ a widely used light-weight and wear resistant material in automobile, electric and aircraft industries. Based on the techniques of Taguchi, an orthogonal experiment plan with the analysis of variance (ANOVA) is performed and a second-order regressive mathematical model is established. Meanwhile, the influence of process parameters on surface roughness and its mechanism are discussed. From the experiments, it is found that burnishing process is effective to decrease surface roughness of hypereutectic Al-Si alloy components, in which, all input parameters have a significant effect on the surface roughness. To achieve a small surface roughness, the optimum process parameters are recommended.

Thermal hardening and calculation of the mathematical model of face milling of parts made of steel 95X18-Sh to improve the quality of the surface layer

2021 ◽  
pp. 200-206
Author(s):  
I.N. Sedinin ◽  
V.F. Makarov
Keyword(s):  
Mathematical Model ◽  
Cutting Speed ◽  
Physical And Mechanical Properties ◽  
Face Milling ◽  
Experiment Planning ◽  
Depth Of Cut ◽  
Machined Surface ◽  
The Mathematical Model ◽  
Full Factorial

It is considered the complex of operations of the technological process for the heat treatment of steel 95X18-Sh, as a result of which the material of the samples increases the hardness to 59...61 HRC, and also improves the physical and mechanical properties. A full-scale full factorial experiment of face milling of samples was carried out using the method of mathematical planning. In the experiments, a high-precision machine and a carbide cutting tool were used. To calculate the values of the roughness function, the following are taken as independent variables: cutting speed, feed per tooth and depth of cut. In order to determine the coefficients of the linear equation, a central compositional orthogonal plan of the second order for three factors was used. A matrix of levels of variation of independent variable factors and a matrix of experiment planning were compiled. A regression analysis of the obtained experimental statistical data was carried out using the Microsoft Excel, Statistica and Wolfram Alpha programs. As a result of the calculations, a mathematical model of the roughness of the machined surface and optimal cutting conditions were determined.

Study of Factors Effecting Surface Roughness and Tool Tip Temperature in Step Turning Using Factorial Technique

2015 ◽  
Vol 15 (4) ◽  
pp. 319-326
Author(s):  
Kondapalli Siva Prasad
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Regression Analysis ◽  
Process Parameters ◽  
Depth Of Cut ◽  
Turning Process ◽  
Nose Radius ◽  
Five Factors ◽  
The Mathematical Model ◽  
Anova Technique

AbstractThe paper focuses on the effect of various process parameters like spindle speed, feed, depth of cut, nose radius and machining condition on the Tool tip temperature and surface roughness in step turning process is investigated by using Factorial Technique. Five factors- Two levels are used and total 32 experiments are performed. The coefficients are calculated by using regression analysis and the model is constructed. The adequacy of the developed model is checked using Analysis of Variance (ANOVA) technique. By using the mathematical model the main and interaction effect of various process parameters on tool tip temperature and surface roughness are studied.

EXPERIMENTAL STUDY OF SURFACE ROUGHNESS AND TAPER ANGLE IN ABRASIVE WATER JET MACHINING OF 7075 ALUMINUM COMPOSITE USING RESPONSE SURFACE METHODOLOGY

2019 ◽  
Vol 27 (03) ◽  
pp. 1950112 ◽  
Author(s):  
A. SHANMUGAM ◽  
K. KRISHNAMURTHY ◽  
T. MOHANRAJ
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Water Pressure ◽  
Traverse Speed ◽  
Standoff Distance ◽  
Abrasive Waterjet ◽  
Machined Surface ◽  
Taper Angle

Surface roughness and taper angle of an abrasive waterjet machined surface of 7075 Aluminum metal matrix composite were deliberately studied. Response surface methodology design of experiments and analysis of variance were used to design the experiments and to identify the effect of process parameters on surface roughness and taper angle. The jet traverse speed and jet pressure were the most significant process parameters which influence the surface roughness and taper angle, respectively. Increasing the pressure and jet traverse speed results in increasing the surface roughness and taper angle. At the same time, decreasing the standoff distance and jet traverse speed possibly enhances both the responses. The optimal process parameters of 1[Formula: see text]mm as standoff distance, 192[Formula: see text]MPa as water pressure and 30[Formula: see text]mm[Formula: see text]min[Formula: see text] as jet traverse speed were identified to obtain the minimum value of surface roughness and taper angle. Based on the optimal parameters, the confirmation test was conducted. The mathematical equation was obtained from the experimental data using regression analysis; it was observed that the error was less than 5% of the experimentally measured values.

scholarly journals Investigation of a plain ball burnishing process on differently machined Aluminium EN AW 2007 surfaces

2018 ◽  
Vol 190 ◽  
pp. 11005 ◽  
Author(s):  
Marco Posdzich ◽  
Rico Stöckmann ◽  
Florian Morczinek ◽  
Matthias Putz
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Process Development ◽  
Fem Simulation ◽  
Initial Surface ◽  
Shape Deviation ◽  
Finishing Process ◽  
Path Distance ◽  
Burnishing Process

Burnishing is an effective chipless finishing process for improving workpiece properties: hardness, vibration resistance and surface quality. The application of this technology is limited to rotationally symmetrical structures of deformable metals. Because of the multiaxial characteristics, the transfer of this force controlled technology on to prismatic shapes requires a comprehensive process development. The main purpose of this paper is the characterization of a plain burnishing process on aluminium EN AW 2007 with a linear moved, spherical diamond tool. The method of design of experiments was used to investigate the influence of different machined surfaces in conjunction with process parameters: burnishing force, burnishing direction, path distance and burnishing speed. FEM simulation was utilized for strain and stress analysis. The experiments show, that unlike the process parameters the initial surface roughness as 3rd order shape deviation does not have a significant influence on the finished surface. Furthermore a completely new surface is created by the process, with properties independent from the initial surface roughness.

scholarly journals Developing an Analytical Model and Computing Tool for Optimizing Lapping Operations of Flat Objects Made of Alloyed Steels

Materials ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1343 ◽  
Author(s):  
Tudor Deaconescu ◽  
Andrea Deaconescu
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Material Properties ◽  
Depth Of Cut ◽  
Operation Optimization ◽  
Abrasive Grains ◽  
Finishing Process ◽  
Real World Applications ◽  
The Mathematical Model

Lapping is a finishing process where loose abrasive grains contained in a slurry are pressed against a workpiece to reduce its surface roughness. To perform a lapping operation, the user needs to set the values of the respective lapping conditions (e.g., pressure, depth of cut, the rotational speed of the pressing lap plate, and alike) based on some material properties of the workpiece, abrasive grains, and slurry, as well as on the desired surface roughness. Therefore, a mathematical model is needed that establishes the relationships among the abovementioned parameters. The mathematical model can be used to develop a lapping operation optimization system, as well. To this date, such a model and system are not available mainly because the relationships among lapping conditions, material properties of abrasive grains and slurry, and surface roughness are difficult to establish. This study solves this problem. It presents a mathematical model establishing the required relationships. It also presents a system developed based on the mathematical model. In addition, the efficacy of the system is also shown using a case study. This study thus helps systematize lapping operations in regard to real-world applications.

Enhancement in Microhardness of Free Machining Brass in Ball Burnishing

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Pavana Kumara ◽  
G.K. Purohit
Keyword(s):  
Plastic Deformation ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surface Texture ◽  
Ball Burnishing ◽  
Abrasive Particles ◽  
Metal Finishing ◽  
Burnishing Process ◽  
Machined Surfaces

The burnishing process is becoming an attractive way among post-machining, metal finishing techniques due to its excellent features. The burnishing process carried out with ball or roller, smooth out the protrusions due to the plastic deformation and increases the surface texture. This paper presents the results of three ball burnishing conditions carried out on cylindrical free machining brass components. Influence of abrasive particles (abrasive assisted burnishing, AAB) during burnishing is investigated and compared with the burnishing carried out without (plain burnishing, PB) and with-coolant (lubricated burnishing, LB) conditions. The response surface methodology (RSM) is used to optimize the microhardness in terms of four process parameters. Result obtained indicates that the microhardness of the pre-machined surfaces increases by 12-29 percent. The AAB results in 141.67 percent higher microhardness than the PB and 41 percent more than the LB condition.

scholarly journals Surface Roughness Prediction Model for Machining O1 Die Steel Through EDM

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Jai Prakash ◽  
Ashish Agarwal ◽  
Vipin
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Current Pulse ◽  
Process Parameters ◽  
Design Method ◽  
Orthogonal Design ◽  
Die Steel ◽  
Orthogonal Design Method ◽  
Roughness Prediction ◽  
Taguchi Orthogonal Design

The objective of this paper is to generate a mathematical model in order to minimize the value of surface roughness (Ra) through EDM by constructing an objective function consisting of combination of process parameters. Taguchi orthogonal design method of experiments with three process parameters viz., current, pulse-on-rate, pulse-off-rate were used to generate 25 numbers of experiments L25 at five levels. Experiments were carried out in Electronica S50 (CNC) EDM. Data obtained for performance measurement was subjected regression analysis using ANOVA. Equation was obtained for the surface roughness as a function of current, pulse-on rate, pulse-off-rate.It is found that discharge current, pulse-on-rate, and pulse-off-rate have significant effect on the Ra. Higher values of current and pulse-on-rate increased surface roughness. Lower current, lower pulse-on-rate and relatively higher pulse-off-rate produced a better surface finish.

Surface Study in a Non-conventional (Electrical Discharge Machining) Process for Grade 6 Titanium Material

2014 ◽  
Vol 68 (1) ◽  
Author(s):  
Md. Ashikur Rahman Khan ◽  
M. M. Rahman
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Machined Surface ◽  
Titanium Material ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

Electrical discharge machining (EDM) produces complex shapes and permits high-precision machining of any hard or difficult-to-cut materials. The performance characteristics such as surface roughness and microstructure of the machined face are influenced by numerous parameters. The selection of parameters becomes complicated. Thus, the surface roughness (Ra) and microstructure of the machined surface in EDM on Grade 6 titanium alloy are studied is this study. The experimental work is performed using copper as electrode material. The polarity of the electrode is maintained as negative. The process parameters taken into account in this study are peak current (Ip), pulse-on time (Ton), pulse-off time (Toff), and servo-voltage (Sv). A smooth surface finish is found at low pulse current, small on-time and high off-time. The servo-voltage affects the roughness diversely however, a finish surface is found at 80 V Sv. Craters, cracks and globules of debris are appeared in the microstructure of the machined part. The size and degree of craters as well as cracks increase with increasing in energy level. Low discharge energy yields an even surface. This approach helps in selecting proper process parameters resulting in economic EDM machining. 

scholarly journals Optimization of compressed air assisted-turning-burnishing process for improving machining quality, energy reduction and cost-effectiveness

2020 ◽  
pp. 095440542097666
Author(s):  
Trung-Thanh Nguyen ◽  
Chi-Hieu Le
Keyword(s):  
Surface Roughness ◽  
Energy Consumption ◽  
Surface Hardness ◽  
Compressed Air ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Machined Surface ◽  
Machining Quality ◽  
Machining Speed ◽  
Burnishing Process

The burnishing process is used to enhance the machining quality via improving the surface finish, surface hardness, wear-resistance, fatigue, and corrosion resistance, and it is mostly used in aerospace, biomedical, and automotive industries to improve reliability and performance of the component. The combined turning and burnishing process is therefore considered as an effective solution to enhance both machining quality and productivity. However, the trade-off analysis between energy consumption, surface characteristics, and production costs has not been well-addressed and investigated. This study presents an optimization of the compressed air assisted-turning-burnishing (CATB) process for aluminum alloy 6061, aimed to decrease the energy consumption as well as surface roughness and to enhance the Vicker hardness of the machined surface. The machining parameters for consideration include the machining speed, feed rate, depth of cut, burnishing force, and the ball diameter. The improved Kriging models were used to construct the relations between machining parameters and the technological response characteristics of the machined surface. The optimal machining parameters were obtained utilizing the desirability approach. The energy based-cost model was developed to assess the effectiveness of the proposed CATB process. The findings showed that the selected optimal outcomes of the depth of cut, burnishing force, diameter, feed rate, and machining speed are 0.66 mm, 196.3 N, 8.0 mm, 0.112 mm/rev, and 110.0 m/min, respectively. The energy consumption and surface roughness are decreased by 20.15% and 65.38%, respectively, while the surface hardness is improved by 30.05%. The production cost is decreased by 17.19% at the optimal solution. Finally, the proposed CATB process shows a great potential to replace the traditional techniques which are used to machine non-ferrous metals.

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